- Review
- Open access
- Published:
Carbon nanotubes: a powerful bridge for conductivity and flexibility in electrochemical glucose sensors
Journal of Nanobiotechnology volume 21, Article number: 320 (2023)
Abstract
The utilization of nanomaterials in the biosensor field has garnered substantial attention in recent years. Initially, the emphasis was on enhancing the sensor current rather than material interactions. However, carbon nanotubes (CNTs) have gained prominence in glucose sensors due to their high aspect ratio, remarkable chemical stability, and notable optical and electronic attributes. The diverse nanostructures and metal surface designs of CNTs, coupled with their exceptional physical and chemical properties, have led to diverse applications in electrochemical glucose sensor research. Substantial progress has been achieved, particularly in constructing flexible interfaces based on CNTs. This review focuses on CNT-based sensor design, manufacturing advancements, material synergy effects, and minimally invasive/noninvasive glucose monitoring devices. The review also discusses the trend toward simultaneous detection of multiple markers in glucose sensors and the pivotal role played by CNTs in this trend. Furthermore, the latest applications of CNTs in electrochemical glucose sensors are explored, accompanied by an overview of the current status, challenges, and future prospects of CNT-based sensors and their potential applications.
Introduction
Hyperglycemia due to insulin shortage or insulin resistance is characteristic of diabetes, and is often known as diabetes mellitus [1]. Approximately 537 million individuals worldwide currently have diabetes. The number of individuals with diabetes is rising and is predicted to exceed 783 million by 2045 [2]. Glucose monitoring is a crucial component of clinical diagnostics for diabetes management [3]. Due to the high number of diabetic patients infected with COVID-19, the current coronavirus pandemic has also heightened interest in glucose control and monitoring [4]. Blood is the most common and traditional biofluid for glucose detection. However, blood collection is invasive and, therefore, uncomfortable and inconvenient for users. In recent years, advances in nanotechnology, microfluidics, and point-of-care (POC) sensing technologies, have prompted researchers to investigate alternative biofluids, such as sweat, urine, saliva, and interstitial fluid (ISF), for noninvasive, continuous, and wearable glucose monitoring [5].
Given its low cost, quick response, and user-friendliness, electrochemical analysis has attracted considerable interest in the application of glucose sensors [6, 7]. Benefiting from high selectivity, electrochemical enzymatic sensors have dominated the practical market in glucose sensing [8]. With their superior porous structure for enzyme immobilization and high conductivity, carbon nanotubes (CNTs) have received a great deal of attention in enzymatic glucose sensors [9, 10]. However, considering the low stability, pH dependence, and complex immobilization of enzymes, nanomaterials with high catalytic properties are being investigated for glucose electrooxidation [11]. This new type of glucose sensor created by these innovative technologies is known as a nonenzymatic glucose sensor.
Given their large surface area, high aspect ratio, exceptional chemical stability, and extraordinary optical and electronic properties, CNTs are also widely used in nonenzymatic sensor applications [12, 13]. Based on these properties, CNTs can be made into biocompatible and durable nanocomposites by functionalizing their surfaces with polymers, organic compounds, and biomolecules [14, 15]. In order to produce efficient and inexpensive non-enzymatic glucose sensors that are sensitive, selective and highly stable, the development of suitable or effective electrocatalysts is essential. For direct electrochemical glucose oxidation, numerous nanomaterials have been devised, including metals (Au, Pt, Pd, Ni, Cu, Co, etc.), alloys, metal oxides (NiO, CuO, Co2O3, etc.), metal sulfides, and metal–organic frameworks (MOFs) [9, 16, 17]. Notably, CNTs combined with numerous metals and metal oxides, such as Ni, Cu, and CuO, have a synergistic effect on glucose catalysis [9, 18, 19]. Moreover, with a high gauge factor and minimal hysteresis, CNTs excel in flexible devices [20]. Considering their current popularity as implantable and wearable base materials, CNTs can potentially become the focal point in the field of minimally invasive and noninvasive electrochemical glucose sensors.
This review aims to provide a comprehensive analysis of the current state of CNT-based glucose electrochemical sensing. Various CNT-based glucose sensors, how CNTs can be used to construct minimally or noninvasively invasive electrochemical sensing platforms, and the potential of CNT-based platforms to detect multiple diabetes biomarkers, are included in the discussion. This review examines the various biosensing mechanisms involved in CNT-based glucose sensors and the unique role of CNTs in enzymatic and nonenzymatic sensors. In conclusion, significant progress has been made in CNT-based nanomaterials for electrochemical glucose biosensing in the past five years (Fig. 1). While challenges remain, the field is poised for continued growth and innovation, with the potential to improve the lives of millions of people suffering from diabetes worldwide.
Development of glucose sensors from enzymatic to nonenzymatic detection
The first-generation oxidase biosensors (Fig. 2A) catalyze glucose oxidation through glucose oxidase (GOx), producing gluconic acid and H2O2 [5]. The resulting H2O2 is then oxidised at the platinum electrode, with the resultant current being proportional to the glucose concentration. However, these first-generation sensors, which are reliant on oxygen and lack selectivity, require refinement [8]. To address this, the introduction of glucose dehydrogenase (GDH) for sensor preparation was suggested (Fig. 2D). GDH-based sensors function at a lower detection potential and are unaffected by the presence of oxygen in the sample [21].
Second-generation glucose sensors (Fig. 2B) employ a nonphysiological O2-free redox medium for electron transfer from GOx to the sensing electrode's surface [22]. These species replace oxygen and enhance electron transport. The third generation of glucose sensors eliminates the need for natural or artificial media (Fig. 2C), enabling direct electron transfer by reducing the distance between the enzyme and the electrode through direct enzyme immobilization [23].
Despite the success of enzymatic glucose sensors in addressing the problem with O2, the stability problems of natural enzymes still persist [24]. Nonenzymatic glucose sensors offer several advantages over enzymatic sensors, including economy, high sensitivity, and long-term stability [25]. Known as fourth-generation glucose sensors (Fig. 2E), nonenzymatic electrodes were modified with nanomaterials that can perform enzyme-like reactions to transfer electrons, especially under extreme conditions. To date, there have been numerous number of reports on nonenzymatic glucose sensors based on nanostructured metals [26], alloys [27], metal oxides [28], conductive polymers [25], MOFs [29], and other modified electrodes.
However, the performance of metal-based sensors is susceptible to absorption reaction intermediates during glucose oxidation [30]. Therefore, the choice and structure of nanomaterials greatly affect the performance of nonenzymatic sensors. To enhance the glucose catalytic efficiency, a combination of highly efficient and synergistic nanomaterials should be selected for glucose sensors.
Principles, history, and perspective on CNTs in nonenzymatic electrochemical sensors
In 1991, CNTs were first discovered by Iijima [31]. The following year, Ebbesen and Ajayan [32] successfully obtained gram amounts of multi-walled CNTs (MWCNTs). In 1993, single-walled CNTs (SWCNTs) were independently produced by Bethune et al. [33] and Iijima and Ichihashi [34].
In consideration of their large surface area-to-volume ratio, exceptional electrical conductivity, and biocompatibility, CNTs have been extensively investigated and utilized to manufacture electrochemical biosensors [1]. Graphene sheets can be rolled in various ways, so different types of CNTs can be produced [35] (graphene is a separate graphite layer, Fig. 3A). The curvature of graphene sheets is responsible for the electrical characteristics of CNTs. Specifically, the electron cloud of carbon transforms from having a uniform distribution in graphite along the C–C backbone to having an asymmetric distribution in and around the nanotube cylinder sheet. Owing to the distortion of the electron cloud, CNTs are electrochemically active; therefore, considerable π–electron conjugation outside the tube is formed [30]. CNTs play a dual role in electrochemical biosensors, both as carriers for immobilizing biomolecules and providing the essential electrical conductivity. The capability of the sensor is greatly dependent on the immobilization technique of the biomolecules on the CNT surface, also known as biofunctionalization. Various biofunctionalization techniques, including physical adsorption, polymer encapsulation and covalent cross-linking, have been described in studies.
CNTs can be classified into two categories based on the number of walls: single-walled and multi-walled [4, 36, 37]. Depending on the orientation of the graphene lattice around the tube axis, individual CNT walls may be metallic or semi-conductive; this property is known as chirality [38]. SWCNT films offer a unique platform for developing electronic devices because of their ability to accommodate large-area film fabrication and patterning techniques. Sensors based on flexible SWCNT films have become a hot topic for biosensor development and applications [39].
Various methods exist for producing CNTs, with arc discharge, chemical vapor deposition, and laser ablation being the most common (Fig. 2B–D). Each method has its advantages and disadvantages, as detailed in Table 1. Different synthesis methods will synthesize CNTs of different lengths and diameters. Studies have shown that CNTs with larger length-to-diameter ratios will have higher electrical conductivity [40, 41]. From Table 1, it can be inferred that CVD can synthesize CNTs with larger length-to-diameter ratio and higher electrical conductivity. As the performance of CNT-based glucose sensors is closely related to conductivity and CVD method has the potential to synthesize CNTs on a large scale, CVD may be the most promising of the current CNT synthesis methods. The future use of single-walled CNTs (SWCNTs) in electronic devices relies on obtaining pure, semiconducting SWCNTs. Commercial CNT feedstocks contain CNTs of different diameters and chirality. Techniques such as dielectric electrophoresis, density gradient ultracentrifugation, and surfactant or polar biopolymer dispersion have been developed for SWCNT separation. Conjugated polymer wrapping is a promising purification and identification strategy [42]. The strategy, with the polymer’s π-conjugated backbone interacting with the π–electron filled 2D surface of the nanotubes, thereby facilitating the break-up and dispersion of the optimal length of soluble alkyl side chains in organic solvents. The intricate structural design of the conjugated polymers allows for the selective assignment of SWCNTs with sizeable diameters or specific chirality [12].
Since their first application in the oxidation of dopamine in 1996 [43], CNTs have been considered one of the most promising electrode materials. Using CNTs in glucose enzymatic sensors enables electrocatalysis for glucose detection or efficient electron tunneling into the enzyme [15]. In first-generation enzyme-based glucose sensor applications, biocompatible glucose-sensing substrates comprising CNT-based composites with metal nanocatalysts have also been utilized. Using uniformly distributed Pt NPs on CNT carriers, Li’s group demonstrated 90% retention of enzyme activity after 1 month. This was attributed to the high oxygen-containing Pt-CNT density of the moiety, which facilitated enhanced biocompatibility and retention of the GOx enzyme’s bioactivity [14].
Owing to the nature of enzymes, glucose enzymatic sensors are susceptible to the effects of temperature and pH [9]. So far, various metal-, alloy-, metal oxide-, and MOF- modified CNT nonenzymatic glucose sensors have been reported [5]. For metal-based sensors, the redox reaction of metal can change glucose into gluconolactone via an electrocatalytic oxidation reaction [44]. CNTs are superior materials with a high surface-to-volume ratio and outstanding electrical conductivity, allowing for fast electron exchange between metal nanoparticles and anode surfaces [45]. Therefore, metal NPs combined with modified CNTs are particularly favored in sensors [46]. The novel MOF composites combine CNTs with functional inorganic materials, resulting in unique properties showing exceptional promise for sensor design and application [47]. In addition, the unique nanostructure and flexible properties of CNTs have demonstrated remarkable commercial potential for invasive and noninvasive glucose sensor applications.
Recent developments in CNT-based enzymatic glucose sensors
Since Clark and Lyons completed the pioneering work on glucose biosensors in the 1960s [54], the recent development of glucose biosensors has begun to focus on enzymatic glucose sensors. Enzymatic glucose sensors have emerged as an attractive technology for noninvasive glucose monitoring, given their high sensitivity, specificity, and selectivity [55, 56]. Enzymatic glucose biosensors usually use immobilized GOx to detect glucose, in which GOx catalyzes glucose oxidation and converts it into gluconic acid [57, 58]. However, the active redox center of GOx is deeply located, making electron transfer between the enzyme and the electrode surface challenging [59]. In addition, when immobilized on the electrode surface, the GOx’s morphology may change, posing another challenge [60, 61]. Preventing the denaturation and inactivation of GOx is critical to maintaining the biosensor’s service life. Therefore, immobilizing GOx on suitable substrates is necessary to preserve its catalytic properties and bioactivity. CNT-based enzymatic glucose sensors have gained attention because of their nanoscale size and chemical, thermal, and mechanical stability, making them excellent enzyme immobilization support matrices [62, 63]. The coordination of CNT-based structures with enzymes increases enzyme loading and stability and can greatly improve the performance of sensors [64]. For instance, a modification of the screen-printed interface based on self-assembled perylene-tetracarboxylic acid/MWCNT adducts has been proposed for immobilizing enzymes efficiently [65]. The excellent electrical conductivity of CNTs also enables direct electron transfer between the enzyme and the electrode surface, leading to low operational potential.
Conducting polymers (CPs) are an essential class of functional materials that have been extensively utilized in fabricating electrochemical glucose biosensors to provide a stable, biocompatible surface for immobilizing GOx [66]. Despite their excellent electrochemical properties, CNTs can only be loaded with a limited number of enzymes when absorbed onto a surface. However, the large surface area-to-volume ratio and rich surface properties of CNTs make them suitable for chemical or physical binding to a variety of materials to form unique high-performance nanocomposites [29]. Therefore, there is a strong need to design CNT–CP nanocomposites to improve the efficiency of enzyme immobilization for electrochemical biosensing applications. Notably, the sidewalls and ends of vertically aligned CNTs (VACNTs) can provide a large surface area, resulting in fast and reliable glucose detection [67]. However, the hydrophobic nature of VACNTs makes it difficult to uniformly retain GOx molecules on the CNT surface [68]. Combining VACNTs with CPs can synergistically stabilize the biolayer on the electrode surface and form a structure suitable for glucose detection [69]. Researchers grew VACNTs on a silicon substrate using alumina as a buffer layer and iron as a catalyst through chemical vapor deposition via radio frequency sputtering and electron beam evaporation. To modify the electrode surface, they electrodeposited polyaniline (PANI) and then covalently linked it to GOx. The resulting electrodes were effective as POC glucose biosensors for detecting glucose in human plasma. The biosensors had a limit of detection (LOD) of 1.1 μM and a sensitivity of 620 μA mM−1 cm−2 over a linear range of 2–426 μM. In addition, Alhans et al. [70] conducted a comparative study on the effectiveness of SWCNT- and MWCNT-coated gold printed circuit board electrodes for glucose detection through the physical combination of attached Au-CNT. The study demonstrated that SWCNTs served as a superior sensing interface for glucose detection with the physical combination.
Polypyrrole (PPy), a common constituent of biosensors, has the advantage of facile modification and enhanced electrode selectivity and stability [71]. Huang et al. [72] fabricated acid-CNT/PPy/fluorine doped tin oxide (FTO) electrodes for non-invasive saliva glucose sensors, simply combining PPy and CNTs to achieve synergistic effects. The study used a chemical polymerisation method to deposit PPy on an FTO conductive glass substrate, which was then modified with acid-CNTs by drop-casting to fabricate acid-CNTs/PPy/FTO electrodes. However, the use of layer-by-layer CNT modification leads to a decrease in electron transfer resistance. In addition, the duration of acid treatment applied to CNTs has a significant impact on the sensing performance. In addition, PPy and polythiophene are two of the most widely used CPs because of the significant interest generated by their pyrrole and thiophene fragments [73]. However, these polymers are limited in their applications because PPy is sensitive to H2O2, and the presence of ascorbic acid and uric acid can generate H2O2 in the presence of GOx. To address these limitations, hybrid structures, such as 2,5-di(thienyl)pyrroles (SNSs), have been synthesized for biosensing applications [74]. Altun et al. [75] developed a glucose biosensor by preparing homopolymer P(SNS-An) and copolymer P(SNS-An-co-EDOT) films, doping them with carbon nanomaterials (CNTs and fullerenes) and cross-linking GOx. This innovative approach demonstrated superior biosensing interface properties compared with the previously reported P(SNS) biosensor.
A dual-enzyme system combining GOx and horseradish peroxidase (HRP) operates in a cascade mechanism, enhancing biosensor response and enzyme stability [76]. However, this system requires an oxidized mediator for oxidase regeneration [77]. To address this limitation, Juska et al. [78] presented a biosensor based on a gold ribbon array electrode with GOx and HRP. The electrodeposited gold foam increased the active surface area, enabling stable glucose detection for approximately 45 days (Fig. 4A). This sensing platform demonstrated long-term stability for glucose detection for approximately 45 days.
To ensure enzyme performance under harsh conditions, Dhanjai et al. [79] employed highly stable single-molecule enzyme nanocapsules (SMEN), rather than natural enzymes, as biometric components (Fig. 4B). The stability of the proposed SMEN-based biosensors was assessed under a range of operating conditions. Following 4 h of incubation at an elevated temperature (65 °C), the biosensor employing natural GOx lost its glucose oxidation catalytic activity. In contrast, the nGOx/N-CNT-Chi/GCE biosensor retained 56% of its initial activity. This method represents a novel and promising direction in the pursuit of robust biosensors for a multitude of applications.
Inspired by efficient molecular imprinting strategies for small molecules, Xu et al. [80] modified MWCNTs with polymeric NPs laden with enzymes to create a highly sensitive enzymatic sensing platform (Fig. 4C). The amphiphilic copolymer poly [acrylic acid-r-(7-(4-vinylbenzyloxy)-4-methyl coumarin)-r-ethylhexyl acrylate] (PAVE), which contained photocrosslinkable coumarin chain segments and carboxyl groups, was co-assembled with MWCNTs in an aqueous solution while encapsulating Gox to produce necklace-like bio-nanocomposites (GOx@PAVE-CNTs). The polymeric NPs laden with GOx were nanobeads, whereas the MWCNTs were conductive threads. The GOx@PAVE-CNT bio-nanocomposite was subsequently electrodeposited onto the electrode surface and, following photocrosslinking, formed a porous network-structured biosensing composite film. The biosensor exhibited a low LOD (0.36 μM) and ultrafast response (< 3 s) for glucose detection.
Metallic nanomaterials possess stable electrochemical properties and high catalytic activity, making them ideal candidates for maintaining biological component activity while facilitating electron transfer between proteins and electrodes. When combined with CNTs, metallic nanomaterials can exhibit improved interference resistance, sensitivity, selectivity, and stability given their compatibility with proteins [81, 82]. Zeng et al. [83] synthesized an amperometric glucose sensor through layer-by-layer assembly of MWCNTs, PANI, and AuNPs on a PTFE/GOx/AuNP/PANI/MWCNT/GCE substrate to construct a fixed GOx carrier. The synergistic effect of AuNPs, PANI, and MWCNTs reduced the molecular diffusion distance and improved the charge transfer efficiency, enabling direct electron transfer for the immobilized enzyme. Debasis et al. [84] immobilized GOx on MWCNT/PANI/graphene oxide (GO)/AuNP-functionalized SPCE to develop a highly sensitive glucose biosensor with a reduction current 13.43 times higher than that of naked SPCE and lower working potential. The glucose reaction with GOx (FAD) produced gluconolactone and GOx (FADH2), followed by the reaction of GOx (FADH2) with dissolved oxygen to form H2O2 and GOx (FAD) (Fig. 4D). The decomposition of H2O2 amplified the response, and the biosensor was validated for detecting glucose levels in human blood serum samples. To avoid oxygen use, Navaee et al. [85] designed a new platform by grafting thiamine acid and Au NPs onto amino CNT/graphene carriers in a 3D framework, followed by ultrasonic processing to arrange methionine and Au NPs as nanorods in a MOF. Electrochemical processing effectively intercepted the enzyme and facilitated subsequent electron transfer, resulting in a highly sensitive bioelectrode.
MOFs are a new category of hybrid porous materials consisting of metal ions and organic linkers with unique features including high specific surface area, size adjustable pore size, multi-functionality and high drug loading efficiency [86, 87]. MOF-based nanozymes have been extensively utilized for enzyme immobilization by using various techniques, such as absorption, covalent linkage, pore encapsulation, and coprecipitation, to preserve the enzymes’ accessibility, activity, and physical constraints [88]. To address the low conductivity of MOFs, CNTs have been introduced to enhance the electronic transmission efficiency. For instance, Song et al. [89] developed Tb@mesoMOFs on the surface of CNTs to create a Tb@mesoMOF-CNT nanocomposite, which served as a support substrate for electrochemical glucose biosensors. The use of a novel electron mediator, methylene green, and an electrocatalyst, GDH, loaded onto the surface of a GCE resulted in excellent glucose detection performance with a linear range of 25 μM to 17 mM and a LOD of 8 μM. Moreover, Dang et al. [90] prepared a mixture of metal–organic skeleton (Fe, Mn) and Au NP-anchored CNT (Au/MOFs(Fe, Mn)/CNT) by using a one-step hydrothermal method. Incorporating CNTs into graphene paper improved the conductivity, mechanical strength, and surface roughness of the flexible nanohybrid electrodes. The increased active sites of AuNPs/MOF/CNTs resulted in a enhanced peroxidase-like activity, allowing an rise on partial charge density and electron transport between the Fermi levels of MOF, Au NPs, and CNTs. Based on the cascade reaction of artificial peroxidase and GOx, glucose can be detected with increased sensitivity and specificity in the linear range of 0.005–0.3 μM with a LOD of 0.002 μM. In addition, a novel glucose sensor immobilizing GOx on a conjugated polymer and MOF composite based on ruthenium was reported [91]. A prefabricated water-soluble conjugated polymer (poly(n-phenylglycine)) and a MOF (UiO-66-NH2) were used to create PPG@Ru@UiO-66-NH2 via controlled chemistry synthesis (Fig. 4E). The carbonyl and amide groups on the conjugated polymer and MOF surfaces cross-linked GOx, reducing Surface carbonyl and amide groups on conjugated polymers and metal–organic frameworks (MOFs) cross-linked GOx, reducing the immobilisation potential to 0.2 V and boosting the active surface area. The PPG@Ru@UiO-66-NH2/GOx-coated electrode displayed a LOD of 5 μM. These MOF-based biosensors demonstrated a potential for further applications in biosensing and bioelectronics, including medical diagnostics, environmental monitoring, and food safety. A brief overview of other reported important CNT-based enzymatic glucose sensors is summarized in Table 2.
Recent developments in CNT-based nonenzymatic glucose sensors
To address the limitations of enzymatic sensors, such as susceptibility to temperature, pH, humidity and chemical instability, nonenzymatic sensors have emerged as a promising alternative for glucose sensing [44]. Nanomaterials have been widely used in the design of nonenzymatic glucose sensors owing to their diverse properties. In this review, we focus on CNT-based nonenzymatic glucose sensors, which utilize nanoparticles of noble and transition metals, nanostructured metal oxides, MOFs, conductive polymers, or molecularly imprinted polymers (MIPs).
Metal and CNT-based nonenzymatic glucose sensors
Noble metals and CNT-based nonenzymatic glucose sensors
Noble metals, such as Au, Pt, and Pd, are commonly used in the construction of glucose sensors because of their superior electrochemical performance, stability, and repeatability. Compared with transition metals that catalyze glucose only in alkaline solution, platinum still showed excellent catalytic performance for glucose in neutral solution [92]. However, substances such as amino acids, AA, UA, and creatinine, in the presence of chloride ions, absorb intermediates on the electrode surface and interfere with the platinum-catalyzed glucose process, resulting in poor selectivity [93, 94]. To overcome these limitations, researchers have developed methods to synthesize nano-sized noble metals that increase the specific surface area and roughness. For instance, CNTs can be decorated with metal NPs to create a new type of nanohybrid material, effectively addressing the limitations of noble metals. The combination of metal Pt with CNT-based metal nanoparticle sensors has shown improved sensitivity and selectivity, and Pt-CNTs are now widely used for sensing and other applications [95]. Silva-Carrillo et al. [96] demonstrated a nanohybrid composed of Pt and MWCNTs based on 3-mercaptophenylboric acid for glucose detection. This sensor also exhibited integrated electrochemical, mechanical, and catalytic properties that were unavailable in the respective components alone.
Gold is widely recognized among noble metals for its low oxidation potential and strong selectivity in glucose oxidation [97]. It is also unique in its ability to catalyze glucose oxidation and produce H2O2 [98]. At the nanoscale, gold particles are exceptionally active and effective green catalysts, making them a prevalent research topic in the frontier between homogeneous and heterogeneous catalysis. Furthermore, based on the fact that gold nanomaterials can be easily functionalized with a wide range of organic or biological ligands, this is also the idea for constructing various combinations of gold nanocomposites in electrochemical applications [99]. Among them, Au–CNT nanocomposites are highly efficient conductive composites, and the synergistic effect of CNTs and Au makes CNTs the preferred electrochemical detection composite for Au. There are two different methods of attaching Au to CNTs: direct attachment of Au-CNTs and linked Au–(CNT nanocomposites). There are two connection types of linked Au–(CNT nanocomposites): covalent connections, such as Au–S bonds; and noncovalent connections, for instance, π–π stacking, electrostatic interactions, and hydrophobic forces. Murugan et al. [100] employed a facile strategy for constructing Au–S bonds between Au and CNT nanocomposites by using mildly oxidized MWCNTs, AuNPs, and thiol acids, including mercaptoacetic acid (MAA), mercaptopropionic acid (MPA), and mercaptosuccinic acid (MSA). The nanohybrids were coated onto a GCE, resulting in nonenzymatic glucose sensors (GC-MWCNT-MAA-AuNP, GC-MWCNT-MPA-AuNP, and GC-MWCNT-MSA-AuNP). Based on the covalent combination of Au and CNT, GC-MWCNT-MSA-AuNP electrode showed excellent electrochemical performance with a LOD of 36 nM.
Moreover, taking into account the effect of the concentration of Au solution on the composition of the MWCNT complex, Mehmood et al. [101] studied the charge transfer kinetics in the GCE modified with AuNP-MWCNT nanohybrid at varied concentrations of AuNPs in the range of 40–100 nM. The results of cyclic voltammetry and EIS demonstrated that the diffusion control, charge transfer mechanism, and concentration of AuNPs are critical factors for the charge transfer rate.
Kangkamano et al. [102] presented a novel method of fabricating a glucose sensor by modifying the mixture of MWCNT and citrate ions on a gold electrode and then freezing and thawing to easily cast MWCNTs and CS cryogel onto the electrode surface. The nonenzymatic sensor demonstrated a LOD of 0.5 µM and excellent stability, making it suitable for measuring glucose in human blood plasma. This work highlighted the great electrocatalytic and synergistic properties achieved through the combination of AuNP-decorated MWCNTs and CS cryogels, which significantly increasing the surface area.
Pd-based nanomaterials have attracted considerable interest due to their exceptional electrochemical activity and stability in the catalytic oxidation process of glucose [90]. Additionally, the ample supply of crust reserves implies reduced production costs. Synthesized through the chemical reduction of precursor Pd ions in SWCNTs-PdNPs, Pd nanoelectrodes have been discovered to display notable electrocatalytic activity for glucose oxidation, even in the presence of elevated chloride ions [103]. Ghanam et al. [104] constructed porous cauliflower-like Pd nanostructures (PdNS) on f-CNT/SPCE for glucose detection as a nonenzyme sensor suitable for neutral buffer solutions. Within this framework, F-CNTs significantly expanded the electrode's surface area, promoting the deposition of numerous Pd particles. Notably, the enhancement of the Pd catalytic activity is correlated with the morphology of the electrodeposited PdNS.
Transition metals and CNT-based nonenzymatic glucose sensors
Despite a large number of studies on noble metal NPs/CNTs, the large-scale application of noble metal nanoparticles is limited by the high cost and the blocking of the catalytic reaction caused by the adsorption of intermediates and chloride ions, which can be effectively addressed by non-noble metal NPs/CNTs [105]. Therefore, transition metals are widely used as electrode materials for glucose determination. Currently, the transition metals used for glucose detection, including Ni, Cu, and Co, have the advantages of easy preparation, low cost, low toxicity, adjustable surface structure characteristics, environmental friendliness, and excellent stability [106, 107].
Nickel and copper are widely used in catalytic oxidation of glucose under alkaline conditions [108, 109]. Immersing these metal (Me) electrodes in an alkaline solution produces Me (OH)2 species, while additional oxidation leads in the creation of MeOOH species. The catalytic components responsible for glucose oxidation are primarily Me(OH)2/MeOOH redox couples [110]. Therefore, such nonenzymatic sensors operate only in alkaline solutions and cannot be used to directly detect neutral biofluids, such as blood samples (which are diluted with alkaline electrolytes prior to measurement). Despite the excellent properties of transition metals, the poor dispersion of metal NPs may lead to stacking, a major factor affecting sensor performance. To solve this problem, the researchers used CNT materials as substrate, whose porous network structure expand surface area, provide abundant nucleation sites and rapid charge transfer, thus achieving efficient electrodeposition of metal NPs [111]. For instance, a microwave-assisted method was proposed to synthesize f-MWCNT supported by highly monodispersed NiNPs on GCE (Ni@f-MWCNT/GCE) [112]. According to the electrochemical results, the addition of f-MWCNTs improved the electrochemical performance of NiNPs, and the electrode showed a good linear range (up to 12Â mM) and a LOD of 21Â nM for glucose oxidation.
To enhance sensitivity and catalytic activity, Fall et al. [113] constructed CNT/molybdenum disulfide (MoS2) with NiNPs to construct a sensor for the rapid determination of glucose. Notably, the composite of CNT, MoS2 and NiNPs accelerates electron transfer on the electrode surface, showing a synergistic effect on conductivity. The hybrid CNT/MoS2/NiNP sensor showed an excellent sensitivity value of 1212 μA mM−1 cm−2 with a low LOD of 197 nM.
Similar to the mechanism of Ni oxidation of glucose, the reaction of glucose catalyzed by Cu-based electrodes is highly dependent on the Cu(II)/Cu(III) REDOX pairs in alkaline media [109]. Gupta et al. [118] proposed a CNT microelectrode set consisting of three electrodes based on highly densified CNT fiber (HD-CNTf) cross sections imbedded in an inert polymer matrix with exposed open-ended CNTs at the interface (Fig. 5A). The proposed nonenzymatic CuNP/HD-CNTf microsensor has an extremely low LOD and excellent sensitivity of 1942 nAµM−1 cm−2, due to the synergistic effect of electrocatalytic CuNPs and high conductive HD-CNTf. In addition, it is worth mentioning that the microsensor catalyzes glucose independent of chloride and oxygen concentrations. Although a CNT has the unique characteristics of establishing an analysis platform and improving electron transfer, the application of a primitive CNT itself still faces challenges in case of the ease of gathering. As a result, CNTs need functionalization to be dispersed before being added to an electrochemical sensor [15]. This covalent or noncovalent functionalization has two main goals. One goal is to exfoliate nanostructures and allow them to be dispersed in an aqueous medium. The other goal is to confer special properties to the depolymerized nanostructures [5], which is more challenging. By using functionalized CNTs as a supporting material, Wang et al. [114] uniformly deposited Cu NPs on acidizing CNTs to form a composite structure of ferrocene–chitosan/CNT@Cu (Fc–CHIT/CNT@Cu) for the electrochemical glucose detection. Given the huge surface area of CNTs, the excellent electrical conductivity of Cu NPs, and the specific synergies of Fc, the electrode showed excellent glucose detection performance.
As an interesting transition metal with good catalytic activity and relatively low cost, Co can be used to electrocatalyze glucose [115]. Considering CNT as an efficient electron transfer-promoting substance, Ayranci et al. [116] used an MWCNT to embed a Keggin-type Co-polyoxometalate composed of Co(III) and Co(II) to improve electron transfer and developed an excellent nonenzymatic electrochemical glucose sensor platform. This study shows that highly conductive CNTs can not only provide high-speed paths for the transfer of ions and electrolytes but can also regulate the growth of Co.
Alloy composite and CNT-based nonenzymatic glucose sensors
If synthesized properly, alloy electrodes with synergistic activity can provide better than single-component electrodes for glucose electrocatalysis [11]. Recently, complexes formed by bimetallic nanoparticles have emerged as a promising platform for the construction of efficient electrocatalysts [117, 118]. Combining metallic electrodes with CNT-based nanostructures can significantly improve sensitivity given the larger surface area provided by CNTs. Zhang et al. [119] prepared Cu/Ni bimetallic nanocatalysts and combined them with carboxylated MWCNTs to create different nucleation sites (Fig. 5B). The three-dimensional electron transfer network was synthesized by a concise in situ electrodeposition synthesis. Uzunoglu et al. [120] anchored PdAg metal nanoparticles on 3D MWCNT-rGO nanohybrids, combining MWCNTs and graphene to construct high performance nonenzymatic electrochemical glucose sensors.
Strong acid treatment is a common method for CNT functionalization, and Karimi-Maleh et al. [118] synthesized Pd–Ni nanoparticles supported on acid-functionalized MWCNTs (Pd–Ni@f-MWCNT) for glucose sensing. The Pd–Ni@f-MWCNT electrode demonstrated a low LOD of 26 nM, and it is suitable for the analysis of real samples due to its good reproducibility and stability.
Due to the effective work function difference between the two metals, AuPt bimetallic NPs with unique surface electron structures have significantly enhanced the efficacy of Au-induced GOx and Pt-induced catalase [121]. Wang et al. [122] prepared a new type of GCE integrated with AuPt bimetallic NPs and MWCNT mixture, which produced synergistic electrocatalytic performance in glucose sensing, demonstrating two linear ranges of 0.05–100 μM and 0.1–2.5 mM. They used GO to disperse the MWCNTs and prevent their aggregation.
Compared with bimetallic electrodes, trimetallic or multimetallic electrodes have been used in glucose sensors in recent years, likely because of the complex and difficult-to-control synthesis of these electrodes. With proper methods, most bimetallic electrodes demonstrate excellent electrochemical performance compared with multimetallic electrodes.
Metal oxide composite and CNT-based nonenzymatic glucose sensors
Transition metal oxides have significant cost advantages over noble metals or their alloys for constructing non-enzymatic glucose sensors, such as CuO [123], NiO [124], ZnO [125], and Co3O4 [126]. Among these transition metal oxides, CuO exhibits high electrical conductivity and electrocatalytic activity, facilitating redox reactions and low overpotential [127]. Muqaddas et al. [128] used fibrous microelectrodes composed of copper oxide modified CNTs (CuO@CNTFs), which have good glucose catalytic properties and can also be used as wearable glucose sensors. The nonenzymatic glucose sensor performance was improved by a binder-free and straightforward electrodeposition method that deposited CuO nanoparticles onto the CNT fiber surface, followed by thermal treatment. The CuO@CNTFs showed a high sensitivity of 3000 µA mM−1 cm−2. The excellent performance of this microelectrode for glucose sensing is attributed to the synergistic effect of CuO nanoparticles and CNT fibers. Shakiba et al. [129] synthesized graphitized CNTs (g-SiCNT) and their Cu/CuO-based composites for electrochemical glucose detection (Fig. 5C). Compared to CNT, g-SiCNT was more beneficial as an electrocatalyst support to improve the detection sensitivity. In addition, copper was added to the g-SiCNT structure to increase the electrical conductivity. The Cu/g-SiCNT/CuO electrode showed a sensitivity of 2051 µA mM−1 cm−2.
Compared to other metal oxides, Co3O4 has poor electrical conductivity and is also limited to a low density of active sites. Combining high-conductivity materials, like CNTs, may solve this limitation [130]. Lin et al. [131] successfully constructed an electrochemical nonenzymatic glucose sensor (Co3O4-MWCNT/GCE) by synthesizing nanocomposites of Co3O4 and MWCNTs by using a one-step solvothermal method. With a LOD of 0.28 μM and a sensitivity of 2550 µA mM−1 cm−2, the new sensor can be used to monitor trace amounts of glucose in human serum samples. Han et al. [132] successfully constructed Co-Co3O4/CNT/CF nanocomposites, in which Co3O4 NPs were grown externally on CF, improving its electrical conductivity. At the same time, CNTs were grown on the surface of CF in large amounts, which further improved the electrical conductivity.
Mixed metal oxides loaded with carbon nanomaterials also show great potential in enhancing the electrochemical efficiency of glucose detection. In a recent study by Waqas [133], a new hybrid material was developed for nonenzymatic electrochemical glucose sensing. This hybrid material consisted of a nickel and Ce oxide nanocomposite supported on MWCNTs (NiCeOx/MWCNTs) and was synthesized using a one-pot hydrogen co-reduction method. This nickel oxide/MWCNT-based sensor showed excellent performance in accurately monitoring glucose in human serum samples in real time.
MOF and CNT-based nonenzymatic glucose sensors
MOFs, also known as porous coordination polymers, have lately emerged as a novel class of crystalline porous materials owing to their complete coordination modes [134,135,136]. The controllable integration of MOFs and functional materials offers new multifunctional components/hybrids with superior qualities to those of the individual components [136]. By incorporating MOF particles into the pores/macropores of CNTs to develop a layered porous system, the new hybrid MOF-modified CNT system can expedite the charge transfer to boost the faradaic reactions [137], making it possible to enhance structural properties, thereby improving the adsorption and electrochemical performance, according to research [138, 139].
As a special subclass of MOF crystal, zeolitic imidazolate frameworks (ZIFs) have been a trending topic in the field of energy storage and efficient catalysts due to their porosity, large surface area, simple synthesis and long stability [38]. The integration between ZIF and CNT could vastly boost the catalytic reactions and detection performance. Qin et al. [140] obtained a Ag NP-decorated ZIF-67 functionalized CNT (Ag NP/ZIF-67@CNT) to disperse Ag NPs onto the porous ZIF-67 surface through a two-step synthetic strategy without heating. The Ag NP/ZIF-67@CNT electrode showed excellent electrocatalytic effect on glucose, with a LOD of 0.46 μM. Elizbit et al. [141] used ZIF-67 as a porous matrix to prepare an Ag@ZIF-67/MWCNT nanocomposite by encapsulating Ag NPs and decorating them with MWCNTs to add and improve the functional sites (Fig. 5D). The results demonstrated that the Ag@ZIF-67/MWCNT composite exhibited a linear range of 33–400 μM, with a LOD of 0.49 μM. The composite also showed good resistance to interference in the presence of AA and UA, suggesting promising prospects for sensing applications in vivo.
In contrast to noncovalent functionalized CNTs that rely on van der Waals interactions with the matrix, hydroxyl-functionalized CNTs can bind to the framework, mainly through hydrogen bonds. This property allows CNTs to act as crystal-growing cores, facilitating their integration with MOFs. Recently, a study demonstrated that both pristine Co-MOF and Co-MOF with hydroxyl-functionalized CNT composite can function as electrocatalytic materials for glucose oxidation [142]. Notably, the Co-MOF@CNT electrode displayed faster and more sensitive glucose detection, with a relatively lower LOD and a wider detection range than the pristine Co-MOF.
There are few experiments on the electrocatalytic properties of carbon materials derived from bimetallic MOF precursors. Therefore, Kim Se et al. [143] synthesized a hierarchical 3D nitrogen-doped CNT-anchored CoCu organic framework (NCNT MOF CoCu) by growing it directly in a high-temperature NCNT MOF CoCu-500. The NCNT MOF CoCu nanostructure had many active sites and effectively detected glucose and H2O2. The synergistic effect of bimetallic CoCu and NCNT MOF may be contributed by their unique layered nanostructures, nitrogen-doped CNT and highly graphitized carbon.
Conductive polymer and CNT-based nonenzymatic glucose sensors
Conductive polymers (CPs) are effective dispersal materials for metal nanoparticles. The unique conjugated π-electron system in the CP structure allows for the electrochemically deposited CP to facilitate 3D growth of metal material into different shapes on the substrate, such as dendrites and lattices [144]. As a result, the resulting metal/CP nanocomposite offers higher surface area and reactant adhesion capacity than a normal spherical monometal without a CP compound, ultimately improving the electrocatalytic performance. Furthermore, a CP complexed with CNTs provides significantly greater availability of mobile electrons than composite electrode materials that have not been modified with CP. The inclusion of CPs in sensors allows them to adapt to physiological pH conditions and varying temperatures, enhancing their potential for applications [145].
A novel nonenzymatic electrochemical glucose sensor was successfully fabricated utilizing pencil graphite electrodes (PGEs) modified with suspensions of poly(3,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT: PSS) and MWCNTs, accompanied by CuO NPs [146]. The employment of PGEs as a substrate for nonenzymatic glucose electrodes constitutes a divergence from the conventional use of PGEs in enzymatic glucose biosensors. The modifier suspension, comprising PEDOT:PSS and MWCNTs, was integrated to augment electron transport within the sensor. The inclusion of MWCNTs led to further improvements in the current response. This effect can be ascribed to the ability of MWCNTs to enable rapid electron transport kinetics during glucose oxidation and to their contribution of an expansive surface area to volume ratio. Through appropriate suspension modification, PGEs have revealed potential for nonenzymatic glucose biosensors, potentially paving the way for innovations in glucose sensing technology.
Previous investigations have shown that the chemical polymerization of caffeic acid (PCA) on MWCNTs can enhance the electrocatalytic characteristics and sensing performance of NADH. This amplification is attributed to the formation of quinone/hydroquinone redox couples [147]. Consequently, Kuznowicz et al. [148] devised a novel nonenzymatic glucose sensor based on PCA@MWCNTs adorned with CuO NPs (PCA@MWCNT-CuO), boasting a sensitivity of 2412 μA mM−1 cm−2. The synergistic interplay of PCA, MWCNTs, and CuO likely accounted for the outstanding properties observed in glucose detection. These results validate the detection capability of nonenzymatic sensors for glucose in human serum and blood samples.
As an artificially constructed polymeric receptors, MIP can mimic the natural receptors in molecular recognition properties [149]. The molecular imprinting method to produce MIPs includes the polymerization and subsequent removal of functional monomers in the presence of a template, leaving corresponding holes in the polymer matrix. A MIP of glucose can be efficient for the precise detection of biological samples in consideration of its ease of attaining high binding affinity with glucose [150]. Using a teamed boronate affinity-based molecular imprinting, Xu et al. [145] prepared a temperature-regulative module, microelectrode module (MEM), which can detect the blood detection level in a physiological environment (Fig. 5E). The researchers also developed MWCNT-TBA-MIP/AFC MEMs by filling the measurement cell with ferrocene-modified MWCNTs (MWCNTs-AFCs) and borate affinity-based MIP-modified MWCNTs (MWCNTs-TBAMIPs). Under physiological conditions, the MWCNT-TBA-MIP/AFC MEM detected glucose with a low LOD (0.61 μM). The application of the MWCNT-TBA-MIP/AFC MEM in the selective and accurate measurement of glucose in human serum samples, revealed its viability for further application. Table 3 briefly describes other essential CNT-based non-enzymatic glucose sensors reported.
Application of CNTs in electronic devices for glucose monitoring
So far, the excellent electrical conductivity and morphological plasticity of CNTs have shown exemplary performance in various electronic devices [152,153,154]. CNT -based electrochemical sensor applications for glucose detection are classified into minimally invasive and noninvasive sensors. In the former, CNTs are applied as flexible implant carriers, while in the latter, CNTs can be used as flexible base films or be doped in various modified conducting polymers. The use of CNTs has significantly enhanced the physical characteristics and electrical conductivity of electrodes, creating a new market force for glucose-detecting materials. CNTs are also an excellent carrier of multiple markers, in line with the development of solid glucose sensors for multichannel simultaneous detection. In addition to showing the functional characteristics of CNTs, we also list the specific analytes of multiple markers in Table 4.
Minimally invasive CNT-based glucose-monitoring biosensors
The development of functional implantable biosensors for continuous glucose monitoring is essential for optimal insulin therapy in diabetic patients. However, challenges such as inflammation, biological incompatibility, and immunological responses often limit the in vivo function of enzymatic electrochemical sensors. To address these issues, the size and invasiveness of implantable sensors need to be minimized to reduce confounding variables. The mechanical mismatch between the implant and biological tissue can also lead to incorrect readings and long-term tissue damage, making flexible implantation a complex issue [155].
To tackle these challenges, Wang et al. [156] introduced a solution by utilizing functionalized MWCNTs twisted into helical fiber bundles that mimic the layered structure of muscles. These high-strength CNT fibers establish a stable interface between tissue and fiber, demonstrating excellent biointegration. A glucose-responsive GOx layer immobilized on chitosan-coated fibers further enhances sensor functionality. To improve sensor stability and selectivity, micropores were introduced using Nafion and glutaraldehyde. These glucose-sensing fibers operate effectively within the range of 2.5–7.0 mM, which is suitable for detecting glucose in bodily fluids. Importantly, this device enables long-term monitoring of biomolecules in vivo with spatial resolution and real-time feedback. In an experiment, glucose levels in a cat’s venous blood were successfully monitored for 28 days. This multifunctional CNT spiral fiber bundle holds promise as a versatile implantation strategy for various biomedical and healthcare sensing applications.
Despite these advances, challenges remain, including the deactivation and leakage of GOx, leading to reduced stability and limited sensor longevity [157]. Addressing this, Huang et al. [158] introduced a molecular sieve platform to enhance electrode efficiency in the physiological environment. They employed a gradient-structured hollow fiber membrane based on MWCNTs coimmobilized with GOx microparticles. This membrane demonstrated effective filtering of substances such as red blood cells, enhancing glucose detection accuracy (Fig. 6A). CNT meshes played a crucial role in catalyzing electron formation and transmission from enzymes to the working electrode during glucose monitoring. In vitro tests on rats indicated excellent sensing linearity within the range of 0 to 24 mM (Fig. 6B).
Implanted enzymatic continuous glucose monitors also face challenges related to poor linearity and a narrow sensing range due to the hypoxic interstitial fluid environment [159]. Bollella et al. [160] introduced a pain-free microneedle-based biosensor array capable of synchronous monitoring of lactate and glucose in the interstitial fluid (ISF) (Fig. 6C). They modified the gold surface of microneedles through electrodeposition of Au MWCNTs, followed by electropolymerization of the redox mediator methylene blue. The synergy of the AuMWCNT/polyMB platform with lactate oxidase and FAD GDH enzymes enabled continuous monitoring of lactate and glucose levels in the artificial ISF. The glucose biosensor demonstrated a sensitivity of 405.2 ± 24.1 μA mM−1 cm−2 and a limit of detection of 7 μM.
Noninvasive CNT-based glucose-monitoring biosensors
In recent years, significant progress has been made in developing noninvasive systems using electronic devices on flexible substrates or directly applied to the skin [161]. These systems often target body fluids such as saliva, sweat, ISF, and urine. CNTs, with their high electroconductivity, offer promising possibilities for integration with various metals and polymers, enhancing noninvasive glucose monitoring. CNTs play a crucial role in improving flexibility and conductivity in wearable applications. For instance, MWCNTs can form bridges with silver nanowires in a hybrid network, preventing fracture under bending strain [162]. Highly stretchable conductive CNTs and polyurethane nanofiber spiral yarns have also been developed, demonstrating stable conductivity and recovery during deformation [163]. The firm winding of CNTs was utilized to form a more stable conductive network, resulting in a yarn with stable conductivity and recovery in the 900% deformation range, and maintaining conductivity when stretched to 1700%. Buckypaper, a CNT-based paper-like membrane, has shown potential for flexible and wearable electrochemical devices, contributing to innovative medical device and wearable technology development [164]. This holds significant implications for the development of innovative technologies in the field of medical devices and wearables.
Human sweat, containing valuable biomarkers, holds promise for noninvasive health status monitoring [165]. Glucose can diffuse from blood into sweat, establishing a connection between blood glucose and sweat glucose levels [166]. Compared to other body fluids, such as blood, ISF, and urine, sweat glucose can be more conveniently detected by biosensors [167, 168]. Xia et al. [169] introduced a mediator-free wearable biosensor for real-time glucose sensing in sweat (Fig. 6D). They developed a flexible and hierarchical meso/macroporous film comprising CNTs and ethylene–vinyl acetate (EVA) copolymer as the sensing substrate. The film's 3D conductive nanoporous structure enabled direct electron transfer-based electrocatalysis, eliminating the need for a mediator in glucose monitoring. The CNT-EVA film was functionalized with a GOx-HRP bienzyme, resulting in biosensors with exceptional selectivity and high sensitivity (270 ± 10 μA mM−1 cm−2).
Based on the stretchable nonenzymatic AuNS/CNT electrode, Oh et al. [170] created a wearable electrochemical biosensor based on a stretchable nonenzymatic AuNS/CNT electrode to detect glucose and pH in sweat. CoWO4 NPs were immobilized on CNTs with a large surface area, enabling selective glucose detection without interference from other chemical components and ions in sweat. This biosensor exhibited long-term stability over 10Â days without a significant decrease in sensitivity.
With the study of MXene nanomaterials emerging as a focal point of interest, MXenes exhibit unparalleled potential for application in glucose biosensors. Glucose biosensors displaying high sensitivity, extensive detection range, excellent thermal stability, and dependable selectivity are now in development [171]. As a representative member of the MXene family, Ti3C2Tx MXene, known for its metallic conductivity, manifests remarkable electrochemical activity and supports the immobilization of biomolecules, advantages that are conducive to creating sensors for various diagnostic applications [172]. Leveraging Ti3C2Tx MXene nanocomposites, Lei et al. [173] engineered a stretchable, wearable, and modular multifunctional biosensor. This device, incorporating a novel Ti3C2Tx/Prussian blue (Ti3C2Tx/PB) composite, was designed for the simultaneous monitoring of sweat glucose, lactate, and pH. Recognizing that the limited oxygen supply in the enzymatic reaction zone could restrict the upper detection limit, linearity, sensitivity, and accuracy according to Fick’s law, the team designed biosensors with open-air pores. These pores form a solid–liquid–air three-phase interface, allowing a consistent oxygen supply and achieving a higher sensitivity of 35.3 μA mM−1 cm−2 for glucose detection. Furthermore, the simultaneous monitoring of pH values enhances the accuracy of the sensors by adjusting glucose and lactate concentrations through the calibration plot for different pH values. During electrode fabrication, the Ti3C2Tx/PB hybrid nanosheets intermingled with each other, and CNTs became entangled, resulting in nested structures within the restacked Ti3C2Tx/PB layers. Interestingly, the combination of CNTs and CaCO3 particles, followed by dissolution in hydrochloric acid, produced a porous and ultrathin film, enhancing oxygen transport. The ensuing intercalation and winding of CNTs through the layers yielded larger surface-active sites, aiding enzyme immobilization. Impressively, the glucose sensor demonstrated consistent stability, with negligible current fluctuation over 15 days without additional calibrations.
Nadtinan Promphet et al. [174] reported on a wristwatch sensor designed for the real-time, simultaneous detection of glucose and lactate in sweat. The cotton thread electrode was modified with cellulose nanofibers, CNT ink, PB, and chitosan to enhance liquid adsorption, bioreceptor immobilization, and sensor performance while concurrently minimizing skin irritation. In this study, the use of water-based CNT ink facilitated a more straightforward coating process due to its low viscosity, which led to more profound penetration into the cotton thread-based working electrode. PB was added to the CNT ink to further enhance the electrocatalytic properties of the thread-based electrode. The wristwatch sensing device offers a linear range of 0.025–3 × 10–3 m with a detection limit of 0.025 × 10−3 m for glucose, a phenomenon that can likely be ascribed to the remarkable synergy between GOx and CNT ink-PB-modified conductive thread-based electrodes. Notably, the current responses for glucose and lactate remained above 80% after 28 days, possibly due to the chitosan membrane on the thread-based electrode, which aids in preserving the enzymatic activity of both enzymes.
ISF-based noninvasive blood glucose sensors typically require the construction of at least three or more electrodes, complicating the device design [175, 176]. To streamline the fabrication process, Yao et al. [177] devised a wearable noninvasive glucose sensor utilizing a G/CNT/GOx composite textile for the working electrode and a G/CNT/Ag/AgCl composite textile for the counter electrode (Fig. 6E). The CNTs acted as efficient conducting platforms for GOx, marking the first integration of ISF extraction and blood glucose monitoring modules into a unified device, resulting in semicontinuous blood glucose observation. The textile-like electrodes confer these sensors with great flexibility and wearability, thereby permitting integration with other electronic components for comprehensive human health management and monitoring.
The advancement of saliva testing heralds an era of noninvasive and pain-free glucose assessment. Lin et al. [178] engineered a novel electrode for saliva-based, noninvasive glucose sensing. CNTs were cultivated via chemical vapor deposition on a glass substrate coated with FTO, followed by GO immobilization using electrostatic force and polyethylenimine (PEI). This study revealed that the CNT forest substantially bolstered charge transfer, and the networked CNT forest structure facilitated stable immobilization of substantial quantities of GOx on the rough electrode surface. The FTO-CNT/PEI/GOx electrode exhibited a sensitivity of 63.38 μA mM−1 cm−2 with a wide linear range of 70–700 µM glucose. Moreover, a synergetic effect generated by SWCNTs, GO (rGO), and cobalt phthalocyanine (CoPc) facilitated the creation of a SWCNT/rGO/CoPc GCE for the nonenzymatic detection of glucose in saliva, presenting a sensitivity of 992.4 μA mM−1 cm−2 and specificity for glucose in a complex interference environment [179] (Fig. 6F).
In the arena of diaper-based sensors, which have attracted considerable attention, there is still scant exploration of biomolecular strategies for in situ urine sensing, a deficiency that hampers the collection of health-evaluation information from the user’s urine. Li et al. [180] introduced a smart diaper that employs integrated multiplex electrochemical sensors (MECSs) for in situ urine analysis, selectively monitoring glucose levels. The electrode arrays embedded in the mechanically flexible diaper were tailored with CNT coatings and other chemicals, such as ion-selective membranes, enzymes, and Pt NPs, to scrutinize the target biomarkers correlated with urine (Fig. 6G). Furthermore, MECSs may be fashioned into prototypes, comprising a flexible circuit board and a Bluetooth signal transmitter, serving as an alternative means of bedside monitoring for patients, infants, and elderly individuals. Wang et al. [181] developed an innovative multi-calibrated glucose potentiometric (MCGP) sensing array, fusing a glucose electrode group, a pH electrode group, and a reference electrode channel. The array, containing a PtAu/CNT nanozyme modified with diboronic acid molecules, represents a pretreatment-free approach to evaluate glucose levels in human urine samples, exhibiting significantly enhanced selectivity for glucose. This study describes a novel technique for analyzing intricate samples and promoting home health monitoring. A comprehensive overview of certain other such sensors is depicted in Table 4.
Conclusion: summary, prospects, and challenges
In recent years, CNTs have been widely used for glucose detection because of their huge specific surface area, strong absorption capacity and superior electron transport capability. Here, we review the recent advances in CNT-based electrochemical sensors. Notably, this review highlights the current progress, challenges and future directions of electrochemical glucose sensors and briefly forecasts the future direct employment in body fluids.
Summary
In conclusion, this review has provided a comprehensive exploration of the design, manufacturing advancements, material synergies, and challenges associated with CNT-based electrochemical glucose sensors. Rapid progress in nanotechnology, microfluidics, miniaturization, and point-of-care sensing technology has spurred the development of sensitive, cost-effective, and user-friendly glucose monitoring tools. Researchers are actively integrating material design innovations, such as implantable and wearable microelectrodes and interstitial microneedles, to create a diverse array of adaptable CNT-based devices for biomarker detection in human biofluids. This review highlights the role of CNTs in high-performance wearable biosensors due to their flexibility and sub-nanometer thickness (equivalent to skin curvature) and predicts future advances in the detection of low glucose concentrations in a variety of body fluids and the integration of sensors into portable and implantable devices.
Challenges and improvements in CNT-based glucose sensors
The development and utilization of CNT-based glucose sensors come with several challenges and opportunities for improvement in various aspects of design, performance, and safety.
Heterogeneity of SWCNTs
One of the primary challenges is the heterogeneity of SWCNTs. The availability of pure, semiconducting SWCNTs is essential for electronic device applications. Techniques such as density gradient ultracentrifugation, dielectric electrophoresis, and surfactant dispersion are used for SWCNT dispersion. However, these methods often involve complex and tedious separation processes, impeding their widespread use [9].
Catalytic synergy
CNTs cannot directly catalyze glucose reactions. Hence, they require combination with other catalytic materials to enhance performance. Initially, enzymatic CNT-based sensors faced limitations due to sensitivity to ambient temperature and pH, restricting their broad applications. Researchers have substituted enzymes with metals, metal oxide compounds, alloys, MOFs, and conducting polymers (CPs) to enhance catalytic efficiency and practicality under various conditions. Effective synergy between CNTs and metals is crucial for optimal sensor performance.
Selectivity and stability of nonenzymatic sensors
While metal-based nonenzymatic sensors offer better stability and broader environmental suitability, they are susceptible to interference from oxidation intermediates and high chloride ion concentrations. Transition metal-based sensors are typically designed for alkaline environments, which contrast with the neutral environment of blood. Noble metals such as gold can function in diverse pH conditions but are expensive. Enhanced selectivity of nonenzymatic sensors integrated with metals and CNTs is essential, and molecular- or atomic-scale interactions should be explored for improved glucose monitoring properties.
Performance of CP nanomaterials
CP nanomaterials are commonly used in wearable glucose sensors due to their flexibility. However, issues such as poor selectivity, adsorption of intermediates, surface poisoning, and low sensitivity limit their application. The incorporation of CNTs with other nanomaterials can synergistically enhance the overall performance of CP-based sensors.
Improvement of flexibility and biocompatibility
The future direction of implantable biosensors is toward flexible and microfiber structures. CNT fibers are suitable for implantation due to their stable binding and compatibility with tissue [183, 184]. However, the inherent softness of CNT fibers can limit direct implantation [185]. Modification of fiber probes with polymer hydrogels with variable elastic modulus can enhance biocompatibility and minimize tissue damage during implantation.
Wearable sensor applications
In wearable sensor applications, CNTs are preferred for their excellent conductivity and flexibility. Fabric sensors offer advantages in terms of comfort, breathability, and durability compared to thin-film sensors. The development of multiplexed assays for diabetes-related markers using CNTs as platforms shows promise for comprehensive biosensing applications [186]. Flexible CNT fiber-based platforms can be integrated into textiles for real-time health monitoring, providing consistent and robust sensing capabilities [187].
The toxicity of CNTs
Future research should focus not only on the detection range but also on biocompatibility, stability, durability, and real-sample analysis to ensure practical usability. The controversy over the toxicity of CNTs requires careful consideration, especially in direct contact scenarios such as skin and lung exposure [188, 189].
Applications of CNT-based electrochemical glucose sensors for potential biological fluids
Owing to the demand for more convenient, diverse, and regionalized methods of detecting blood glucose, along with a need for rapid glucose response detection, the development and discussion of CNT-based electrochemical glucose sensors for multiple applications in various body fluids—including tears, exhaled breath condensate (EBC), nasal fluids, cerebrospinal fluid (CSF), and peritoneal fluid—are both necessary and meritorious.
While studies have brought to fruition CNT-based electrochemical glucose sensors for the detection of tear samples, the in-situ detection of tear glucose leveraging CNTs remains an unexplored territory. Properly prepared CNT films can attain a fusion of flexibility, light transmission, and electrical conductivity, aligning with the developmental trajectory of tear sensors [190]. Nonetheless, to date, tear sensors employing CNT films as substrates have not been found, a gap we perceive as a promising area of application.
EBC serves as a safe, noninvasive means for sampling fluids from the lower respiratory tract [191]. Since a primary challenge for EBC glucose sensors lies in the submicromolar sensitivity required [192, 193], sensors that integrate highly conductive CNTs into the EBC glucose sensing apparatus are ideally positioned to rectify such problems. Additionally, enzymatic sensors relying on H2O2 for indirect glucose content detection exhibit instability in EBC detection. If CNTs are employed to augment the performance of enzymatic glucose sensors, emphasis must be placed on enhancing enzyme stability. Similarly, respiratory fluids such as nasal fluid—which has not yet been definitively linked with blood glucose levels—are a novel and intriguing prospect in noninvasive glucose detection, even though electrochemical detection in nasal fluid remains undeveloped.
Furthermore, minimally invasive CNT-based glucose sensors for CSF and peritoneal fluids currently represent an uncharted area, and yet, they hold potential for future applications. Although detection in CSF is feasible under traumatic conditions, the pursuit of minimally invasive methods is still a promising avenue. To this point, implantable fiber biosensors based on CNTs have been designed to detect dopamine by probing deep brain tissue, but attempts to utilize electrochemical glucose sensors for CSF detection have yet to be made. Nonetheless, optimism prevails in the glucose detection domain. Importantly, no definitive evidence has been discovered regarding the toxicity of neural-related electrodes and biosensors founded on CNTs, and some reports even suggest that certain CNTs may promote cell growth [194, 195]. These findings may signify that CNTs are exceptionally promising materials for neural electrodes. Additionally, given the latency issues in subcutaneous continuous glucose monitoring (CGM), there have been proposals to utilize the intraperitoneal (IP) space for CGM [196]. Although the application of electrochemical glucose detection for IP is still in its infancy, the future likely holds promise for CNT-based electrochemical glucose sensors in IP applications, especially since CNTs can serve as flexible materials apt for long-term in vivo implantable detection.
It is vital to underscore that whether CNTs are employed as a fiber implantation material or as a dopant, careful consideration must be given to the in vivo safety of CNTs. This aspect should not be overlooked, even as strides are made to enhance sensor performance.
The promising applications of CNT-based glucose sensors in the field of biomedical sensing
Nanotechnology has emerged as a focal point in diverse biomedical applications, including cancer therapy, owing to its capacity to manipulate materials within the size range of 1–1000 nm [197, 198]. CNTs are perceived as suitable candidates for cancer therapy due to their unique structural, mechanical, electrical, and thermal properties (often referred to as PTT) [199]. The extensive surface area of CNTs facilitates the loading of high concentrations of anticancer therapeutics, either through the utilization of disulfides as linkers or via adsorption. Furthermore, controlled drug delivery can be orchestrated by modifying CNTs with stimuli-responsive materials [200].
Subsequently, a design paradigm has been postulated for a nanorobot capable of navigation, cancer cell detection in the bloodstream, and precise drug delivery [201]. By exploiting glucose hunger-based cancer detectors immobilized on CNT sensors, a decrease in electrical resistance occurs upon binding to cancer cells. This phenomenon triggers an electric current that activates a nanoelectromechanical relay, or a mechanical transistor, breaching the containment chamber and thereby exposing an immune system-recognized drug to obliterate the cell. This concept heralds a transformative approach for CNT-based glucose sensors, extending beyond macroscopic glucose monitoring in humans to include the assessment of glucose levels in the microscopic environments of cancer cells. The integration of bionanosensing with sophisticated nanotransistor technology marks a promising frontier for in vivo medical diagnostics and therapy.
Furthermore, investigations have been conducted into the skin permeability of CNTs for the transdermal administration of therapeutic agents. However, findings reveal that CNTs alone are not permeable through the skin, giving rise to a dilemma: noninvasive wearable CNT-based electrochemical glucose sensors are unable to concurrently function as drug application surfaces. Nevertheless, limited studies have demonstrated that lipid/polymer functionalization and ionic introduction can enhance the skin permeability of CNTs [202].
The collective evidence elucidated above galvanizes biomedical researchers to probe the capabilities of CNT-based glucose sensors in therapeutic contexts, a pursuit imbued with tremendous potential for unlocking novel milestones in biomedical sensing. In the foreseeable future, the reach of CNT-based electrochemical glucose sensors will likely transcend mere diagnostic sensing, with the incorporation of feedback mechanisms heralding a new era for therapeutic applications within diagnostic-therapeutic integrated devices.
Availability of data and materials
Not applicable.
References
Palumbo A, Li ZQ, Yang EH. Trends on carbon nanotube-based flexible and wearable sensors via electrochemical and mechanical stimuli: a review. IEEE Sens J. 2022;22:20102–25. https://doi.org/10.1109/JSEN.2022.3198847.
Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, Stein C, Basit A, Chan JCN, Mbanya JC, Pavkov ME, Ramachandaran A, Wild SH, James S, Herman WH, Zhang P, Bommer C, Kuo S, Boyko EJ, Magliano DJ, IDF Diabetes Atlas. Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract. 2022;183:109119. https://doi.org/10.1016/j.diabres.2021.109119.
Yoo EH, Lee SY. Glucose biosensors: an overview of use in clinical practice. Sensors (Basel). 2010;10:4558–76. https://doi.org/10.3390/s100504558.
Lin Y, Taylor S, Li H, Fernando KAS, Qu L, Wang W, Gu L, Zhou B, Sun YP. Advances toward bioapplications of carbon nanotubes. J Mater Chem. 2004;14:527–41. https://doi.org/10.1039/B314481J.
Adeel M, Rahman MM, Caligiuri I, Canzonieri V, Rizzolio F, Daniele S. Recent advances of electrochemical and optical enzyme-free glucose sensors operating at physiological conditions. Biosens Bioelectron. 2020;165:112331. https://doi.org/10.1016/j.bios.2020.112331.
Chen C, Xie Q, Yang D, Xiao H, Fu Y, Tan Y, Yao S. Recent advances in electrochemical glucose biosensors: a review. RSC Adv. 2013. https://doi.org/10.1039/c2ra22351a.
Yuwen T, Zou H, Xu S, Wu C, Peng Q, Shu D, Yang X, Wang Y, Yu C, Fan J, Zhang Y, Zang G. Effect of glucuronic acid on inducing self-assembly of Au nanoflowers@glucuronic acid on carbon cloth for non-enzymatic glucose sensing. Mater Today Chem. 2023;29:101388. https://doi.org/10.1016/j.mtchem.2023.101388.
Lee H, Hong YJ, Baik S, Hyeon T, Kim DH. Enzyme-based glucose sensor: from invasive to wearable device. Adv Healthc Mater. 2018;7:e1701150. https://doi.org/10.1002/adhm.201701150.
Sehit E, Altintas Z. Significance of nanomaterials in electrochemical glucose sensors: an updated review (2016–2020). Biosens Bioelectron. 2020;159:112165. https://doi.org/10.1016/j.bios.2020.112165.
Kim JH, Hong SG, Wee Y, Hu S, Kwon Y, Ha S, Kim J. Enzyme precipitate coating of pyranose oxidase on carbon nanotubes and their electrochemical applications. Biosens Bioelectron. 2017;87:365–72. https://doi.org/10.1016/j.bios.2016.08.086.
Hwang DW, Lee S, Seo M, Chung TD. Recent advances in electrochemical non-enzymatic glucose sensors—a review. Anal Chim Acta. 2018;1033:1–34. https://doi.org/10.1016/j.aca.2018.05.051.
Du L, Xiong W, Chan WK, Phillips DL. Photoinduced electron transfer processes of single-wall carbon nanotube (SWCNT)–based hybrids. Nanophotonics. 2020;9:4689–701. https://doi.org/10.1515/nanoph-2020-0389.
Bao J, Hou CJ, Zhang YC, Li Q, Huo DQ, Yang M, Luo XG. A non-enzymatic glucose sensor based on copper oxide nanowires-singlewall carbon nanotubes. J Electrochem Soc. 2015;162:B47–51. https://doi.org/10.1149/2.1111501jes.
Wen Z, Ci S, Li J. Pt nanoparticles inserting in carbon nanotube arrays: nanocomposites for glucose biosensors. J Phys Chem C. 2009;113:13482–7.
Jacobs CB, Peairs MJ, Venton BJ. Review: carbon nanotube based electrochemical sensors for biomolecules. Anal Chim Acta. 2010;662:105–27. https://doi.org/10.1016/j.aca.2010.01.009.
Su Y, Guo H, Wang Z, Long Y, Li W, Tu Y. Au@Cu2O core-shell structure for high sensitive non-enzymatic glucose sensor. Sens Actuat B Chem. 2018;255:2510–9. https://doi.org/10.1016/j.snb.2017.09.056.
Ngamaroonchote A, Sanguansap Y, Wutikhun T, Karn-Orachai K. Highly branched gold-copper nanostructures for non-enzymatic specific detection of glucose and hydrogen peroxide. Microchim Acta. 2020. https://doi.org/10.1007/s00604-020-04542-x.
Wang F, Chen X, Chen L, Yang J, Wang Q. High-performance non-enzymatic glucose sensor by hierarchical flower-like nickel(II)-based MOF/carbon nanotubes composite. Mater Sci Eng C Mater Biol Appl. 2019;96:41–50. https://doi.org/10.1016/j.msec.2018.11.004.
Wang X-D, Tian X-F, Ji F-J, Liu T-M. Applications of CNT/Cu nanostructured electrode materials for direct determination of glucose. Chem J Chin Univ Chin. 2012;33:458–63. https://doi.org/10.3969/j.issn.0251-0790.2012.03.005.
Rodrigues D, Barbosa AI, Rebelo R, Kwon IK, Reis RL, Correlo VM. Skin-integrated wearable systems and implantable biosensors: a comprehensive review. Biosensors (Basel). 2020. https://doi.org/10.3390/bios10070079.
Yamazaki T, Kojima K, Sode K. Extended-range glucose sensor employing engineered glucose dehydrogenases. Anal Chem. 2000;72:4689–93.
Bollella P, Gorton L, Ludwig R, Antiochia R. A third generation glucose biosensor based on cellobiose dehydrogenase immobilized on a glassy carbon electrode decorated with electrodeposited gold nanoparticles: characterization and application in human saliva. Sensors. 2017. https://doi.org/10.3390/s17081912.
Tian K, Prestgard M, Tiwari A. A review of recent advances in nonenzymatic glucose sensors. Mater Sci Eng C Mater Biol Appl. 2014;41:100–18. https://doi.org/10.1016/j.msec.2014.04.013.
Zhong S-L, Zhuang J, Yang D-P, Tang D. Eggshell membrane-templated synthesis of 3D hierarchical porous Au networks for electrochemical nonenzymatic glucose sensor. Biosens Bioelectron. 2017;96:26–32. https://doi.org/10.1016/j.bios.2017.04.038.
Li X, Ren K, Zhang M, Sang W, Sun D, Hu T, Ni Z. Cobalt functionalized MoS2/carbon nanotubes scaffold for enzyme-free glucose detection with extremely low detection limit. Sens Actuat B Chem. 2019;293:122–8. https://doi.org/10.1016/j.snb.2019.04.137.
Grochowska K, Ryl J, Karczewski J, Sliwinski G, Cenian A, Siuzdak K. Non-enzymatic flexible glucose sensing platform based on nanostructured TiO2—Au composite. J Electroanaly Chem. 2019;837:230–9. https://doi.org/10.1016/j.jelechem.2019.02.040.
Bag S, Baksi A, Nandam SH, Wang D, Ye X, Ghosh J, Pradeep T, Hahn H. Nonenzymatic glucose sensing using Ni(60)Nb(40) nanoglass. ACS Nano. 2020;14:5543–52. https://doi.org/10.1021/acsnano.9b09778.
Yang P, Wang X, Ge CY, Fu X, Liu XY, Chai H, Guo X, Yao HC, Zhang YX, Chen K. Fabrication of CuO nanosheets-built microtubes via Kirkendall effect for non-enzymatic glucose sensor. Appl Surf Sci. 2019;494:484–91. https://doi.org/10.1016/j.apsusc.2019.07.197.
Lu M, Deng Y, Li Y, Li T, Xu J, Chen SW, Wang J. Core-shell MOF@MOF composites for sensitive nonenzymatic glucose sensing in human serum. Anal Chim Acta. 2020;1110:35–43. https://doi.org/10.1016/j.aca.2020.02.023.
Wei S, Hao Y, Ying Z, Xu C, Wei Q, Xue S, Cheng H-M, Ren W, Ma L-P, Zeng Y. Transfer-free CVD graphene for highly sensitive glucose sensors. J Mater Sci Technol. 2020;37:71–6. https://doi.org/10.1016/j.jmst.2019.07.039.
Iijima S, Ajayan PM, Ichihashi T. Growth model for carbon nanotubes. Phys Rev Lett. 1992;69:3100–3. https://doi.org/10.1103/PhysRevLett.69.3100.
Ebbesen TW, Ajayan PM. Large-scale synthesis of carbon nanotubes. Nature. 1992;358:220–2. https://doi.org/10.1038/358220a0.
Bethune DS, Kiang CH, de Vries MS, Gorman G, Savoy R, Vazquez J, Beyers R. Cobalt-catalysed growth of carbon nanotubes with single-atomic-layer walls. Nature. 1993;363:605–7. https://doi.org/10.1038/363605a0.
Iijima S, Ichihashi T. Single-shell carbon nanotubes of 1-nm diameter. Nature. 1993;363:603–5.
Rathinavel S, Priyadharshini K, Panda D. A review on carbon nanotube: an overview of synthesis, properties, functionalization, characterization, and the application. Mater Sci Eng B. 2021;268:115095. https://doi.org/10.1016/j.mseb.2021.115095.
Thirumalai D, Devaraju S, Shin B, Paik H-J, Chang S-C, Metal-Free A. Non-enzymatic electrochemical glucose sensor with a de-bundled single-walled carbon nanotube-modified electrode. Bull Korean Chem Soc. 2017. https://doi.org/10.1002/bkcs.11358.
Blazek T, Gorski W. Oxidases, carbon nanotubes, and direct electron transfer: A cautionary tale. Biosens Bioelectron. 2020;163:6. https://doi.org/10.1016/j.bios.2020.112260.
Pop E, Mann D, Wang Q, Goodson K, Dai H. Thermal conductance of an individual single-wall carbon nanotube above room temperature. Nano Lett. 2006;6:96–100. https://doi.org/10.1021/nl052145f.
Itkis ME, Pekker A, Tian X, Bekyarova E, Haddon RC. Networks of semiconducting SWNTs: contribution of midgap electronic states to the electrical transport. Acc Chem Res. 2015;48:2270–9. https://doi.org/10.1021/acs.accounts.5b00107.
Haghgoo M, Ansari R, Hassanzadeh-Aghdam MK. Prediction of electrical conductivity of carbon fiber-carbon nanotube-reinforced polymer hybrid composites. Compos Part B Eng. 2019;167:728–35. https://doi.org/10.1016/j.compositesb.2019.03.046.
Nigam R, Habeeb S, Priyadarshi A, Jaggi N. Electrical conductivity of metal-carbon nanotube structures: effect of length and doping. Bull Mater Sci. 2014;37:1047–51. https://doi.org/10.1007/s12034-014-0043-0.
Samanta SK, Fritsch M, Scherf U, Gomulya W, Bisri SZ, Loi MA. Conjugated polymer-assisted dispersion of single-wall carbon nanotubes: the power of polymer wrapping. Acc Chem Res. 2014;47:2446–56. https://doi.org/10.1021/ar500141j.
Britto PJ, Santhanam KSV, Ajayan PM. Carbon nanotube electrode for oxidation of dopamine. Bioelectrochem Bioenerg. 1996;41:121–5. https://doi.org/10.1016/0302-4598(96)05078-7.
He C, Asif M, Liu Q, Xiao F, Liu H, Xia BY. Noble metal construction for electrochemical nonenzymatic glucose detection. Adv Mater Technol. 2023;8:2200272. https://doi.org/10.1002/admt.202200272.
Zhu Z. An overview of carbon nanotubes and graphene for biosensing applications. Nano-Micro Lett. 2017. https://doi.org/10.1007/s40820-017-0128-6.
Singha Deb AK, Dwivedi V, Dasgupta K, Musharaf Ali S, Shenoy KT. Novel amidoamine functionalized multi-walled carbon nanotubes for removal of mercury(II) ions from wastewater: combined experimental and density functional theoretical approach. Chem Eng J. 2017;313:899–911. https://doi.org/10.1016/j.cej.2016.10.126.
Cruz-Navarro JA, Hernandez-Garcia F, Alvarez Romero GA. Novel applications of metal-organic frameworks (MOFs) as redox-active materials for elaboration of carbon-based electrodes with electroanalytical uses. Coord Chem Rev. 2020. https://doi.org/10.1016/j.ccr.2020.213263.
Arora N, Sharma NN. Arc discharge synthesis of carbon nanotubes: comprehensive review. Diamond Related Mater. 2014;50:135–50. https://doi.org/10.1016/j.diamond.2014.10.001.
Ribeiro H, Schnitzler MC, da Silva WM, Santos AP. Purification of carbon nanotubes produced by the electric arc-discharge method. Surf Interfaces. 2021;26:101389. https://doi.org/10.1016/j.surfin.2021.101389.
Mubarak NM, Abdullah EC, Jayakumar NS, Sahu JN. An overview on methods for the production of carbon nanotubes. J Ind Eng Chem. 2014;20:1186–97. https://doi.org/10.1016/j.jiec.2013.09.001.
Arepalli S. Laser ablation process for single-walled carbon nanotube production. J Nanosci Nanotechnol. 2004;4:317–25. https://doi.org/10.1166/jnn.2004.072.
Pant M, Singh R, Negi P, Tiwari K, Singh Y. A comprehensive review on carbon nano-tube synthesis using chemical vapor deposition. Mater Today Proc. 2021;46:11250–3. https://doi.org/10.1016/j.matpr.2021.02.646.
Aqel A, El-Nour KMMA, Ammar RAA, Al-Warthan A. Carbon nanotubes, science and technology part (I) structure, synthesis and characterisation. Arab J Chem. 2012;5:1–23. https://doi.org/10.1016/j.arabjc.2010.08.022.
Clark LC Jr, Lyons C. Electrode systems for continuous monitoring in cardiovascular surgery. Ann N Y Acad Sci. 1962;102:29–45. https://doi.org/10.1111/j.1749-6632.1962.tb13623.x.
Donmez S. A novel electrochemical glucose biosensor based on a poly (L-aspartic acid)-modified carbon-paste electrode. Prep Biochem Biotechnol. 2020;50:961–7. https://doi.org/10.1080/10826068.2020.1805758.
Ullah S, Hamade F, Bubniene U, Engblom J, Ramanavicius A, Ramanaviciene A, Ruzgas T. In-vitro model for assessing glucose diffusion through skin. Biosens Bioelectr. 2018;110:175–9. https://doi.org/10.1016/j.bios.2018.03.039.
Tasviri M, Ghasemi S, Ghourchian H, Gholami MR. Ionic liquid/graphene oxide as a nanocomposite for improving the direct electrochemistry and electrocatalytic activity of glucose oxidase. J Solid State Electrochem. 2013;17:183–9. https://doi.org/10.1007/s10008-012-1858-5.
Kohma T, Oyamatsu D, Kuwabata S. Preparation of selective micro glucose sensor without permselective membrane by electrochemical deposition of ruthenium and glucose oxidase. Electrochem Commun. 2007;9:1012–6. https://doi.org/10.1016/j.elecom.2006.12.015.
Pakapongpan S, Poo-arporn RP. Self-assembly of glucose oxidase on reduced graphene oxide-magnetic nanoparticles nanocomposite-based direct electrochemistry for reagentless glucose biosensor. Mater Sci Eng C. 2017;76:398–405. https://doi.org/10.1016/j.msec.2017.03.031.
Sakalauskiene L, Popov A, Kausaite-Minkstimiene A, Ramanavicius A, Ramanaviciene A. The impact of glucose oxidase immobilization on dendritic gold nanostructures on the performance of glucose biosensors. Biosensors. 2022;12:320.
Kato K, Lee S, Nagata F. Efficient enzyme encapsulation inside sol-gel silica sheets prepared by poly-l-lysine as a catalyst. J Asian Ceram Soc. 2020;8:1–11. https://doi.org/10.1080/21870764.2020.1747167.
Gao Y, Kyratzis I. Covalent immobilization of proteins on carbon nanotubes using the cross-linker 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide—a critical assessment. Bioconjug Chem. 2008;19:1945–50. https://doi.org/10.1021/bc800051c.
Asuri P, Karajanagi SS, Sellitto E, Kim D-Y, Kane RS, Dordick JS. Water-soluble carbon nanotube-enzyme conjugates as functional biocatalytic formulations. Biotechnol Bioeng. 2006;95:804–11. https://doi.org/10.1002/bit.21016.
Bilal M, Anh Nguyen T, Iqbal HMN. Multifunctional carbon nanotubes and their derived nano-constructs for enzyme immobilization—a paradigm shift in biocatalyst design. Coord Chem Rev. 2020;422:213475. https://doi.org/10.1016/j.ccr.2020.213475.
Amara U, Mahmood K, Riaz S, Nasir M, Hayat A, Hanif M, Yaqub M, Han D, Niu L, Nawaz MH. Self-assembled perylene-tetracarboxylic acid/multi-walled carbon nanotube adducts based modification of screen-printed interface for efficient enzyme immobilization towards glucose biosensing. Microchem J. 2021;165:106109. https://doi.org/10.1016/j.microc.2021.106109.
Jun LY, Mubarak NM, Yon LS, Bing CH, Khalid M, Jagadish P, Abdullah EC. Immobilization of peroxidase on functionalized MWCNTs-buckypaper/polyvinyl alcohol nanocomposite membrane. Sci Rep. 2019. https://doi.org/10.1038/s41598-019-39621-4.
Marsili E, Rollefson JB, Baron DB, Hozalski RM, Bond DR. Microbial biofilm voltammetry: direct electrochemical characterization of catalytic electrode-attached biofilms. Appl Environ Microbiol. 2008;74:7329–37. https://doi.org/10.1128/aem.00177-08.
Gokoglan TC, Soylemez S, Kesik M, Dogru IB, Turel O, Yuksel R, Unalan HE, Toppare L. A novel approach for the fabrication of a flexible glucose biosensor: The combination of vertically aligned CNTs and a conjugated polymer. Food Chem. 2017;220:299–305. https://doi.org/10.1016/j.foodchem.2016.10.023.
Azimi S, Farahani A, Sereshti H. Plasma-functionalized highly aligned CNT-based biosensor for point of care determination of glucose in human blood plasma. Electroanalysis. 2020;32:394–403. https://doi.org/10.1002/elan.201800895.
Alhans R, Singh A, Singhal C, Narang J, Wadhwa S, Mathur A. Comparative analysis of single-walled and multi-walled carbon nanotubes for electrochemical sensing of glucose on gold printed circuit boards. Mater Sci Eng C Mater Biol Appl. 2018;90:273–9. https://doi.org/10.1016/j.msec.2018.04.072.
Zhang BL, Yang Y, Zhao ZQ, Guo XD. A gold nanoparticles deposited polymer microneedle enzymatic biosensor for glucose sensing. Electrochim Acta. 2020;358:136917. https://doi.org/10.1016/j.electacta.2020.136917.
Huang G-K, Gupta S, Lee C-Y, Tai N-H. Acid-treated carbon nanotubes/polypyrrole/fluorine-doped tin oxide electrodes with high sensitivity for saliva glucose sensing. Diamond Related Mater. 2022;129:109385. https://doi.org/10.1016/j.diamond.2022.109385.
Kumar D, Sharma RC. Advances in conductive polymers. Eur Polym J. 1998;34:1053–60. https://doi.org/10.1016/S0014-3057(97)00204-8.
Röckel H, Huber J, Gleiter R, Schuhmann W. Synthesis of functionalized poly(dithienylpyrrole) derivatives and their application in amperometric biosensors. Adv Mater. 1994;6:568–71.
Altun A, Apetrei R-M, Camurlu P. The effect of copolymerization and carbon nanoelements on the performance of poly(2,5-di(thienyl)pyrrole) biosensors. Mater Sci Eng C Mater Biol Appl. 2019. https://doi.org/10.1016/j.msec.2019.110069.
Gu M, Wang J, Tu Y, Di J. Fabrication of reagentless glucose biosensors: a comparison of mono-enzyme GOD and bienzyme GOD–HRP systems. Sens Actuat B Chem. 2010;148:486–91. https://doi.org/10.1016/j.snb.2010.05.057.
Delvaux M, Walcarius A, Demoustier-Champagne S. Bienzyme HRP-GOx-modified gold nanoelectrodes for the sensitive amperometric detection of glucose at low overpotentials. Biosens Bioelectron. 2005;20(8):1587–94.
Juska VB, Pemble M. A dual-enzyme, micro-band array biosensor based on the electrodeposition of carbon nanotubes embedded in chitosan and nanostructured Au-foams on microfabricated gold band electrodes. Analyst. 2019. https://doi.org/10.1039/C9AN01664C.
Dhanjai, Lu XB, Wu LX, Chen JP, Lu YF. Robust single-molecule enzyme nanocapsules for biosensing with significantly improved biosensor stability. Anal Chem. 2020;92:5830–7. https://doi.org/10.1021/acs.analchem.9b05466.
Xu S, Zhang Y, Zhu Y, Wu J, Li K, Lin G, Li X, Liu R, Liu X, Wong C-P. Facile one-step fabrication of glucose oxidase loaded polymeric nanoparticles decorating MWCNTs for constructing glucose biosensing platform: structure matters. Biosens Bioelectron. 2019;135:153–9. https://doi.org/10.1016/j.bios.2019.04.017.
Sun Y, He K, Zhang Z, Zhou A, Duan H. Real-time electrochemical detection of hydrogen peroxide secretion in live cells by Pt nanoparticles decorated graphene–carbon nanotube hybrid paper electrode. Biosens Bioelectron. 2015;68:358–64. https://doi.org/10.1016/j.bios.2015.01.017.
Hwa K-Y, Subramani B. Synthesis of zinc oxide nanoparticles on graphene–carbon nanotube hybrid for glucose biosensor applications. Biosens Bioelectron. 2014;62:127–33. https://doi.org/10.1016/j.bios.2014.06.023.
Zeng X, Zhang Y, Du X, Li Y, Wenwei T. A highly sensitive glucose sensor based on a gold nanoparticles/polyaniline/multi-walled carbon nanotubes composite modified glassy carbon electrode. N J Chem. 2018. https://doi.org/10.1039/C7NJ04327A.
Maity D, Minitha CR, Rajendar Kumar RK. Glucose oxidase immobilized amine terminated multiwall carbon nanotubes/reduced graphene oxide/polyaniline/gold nanoparticles modified screen-printed carbon electrode for highly sensitive amperometric glucose detection. Mater Sci Eng C. 2019;105:110075. https://doi.org/10.1016/j.msec.2019.110075.
Navaee A, Salimi A. FAD-based glucose dehydrogenase immobilized on thionine/AuNPs frameworks grafted on amino-CNTs: development of high power glucose biofuel cell and biosensor. J Electroanal Chem. 2018;815:105–13. https://doi.org/10.1016/j.jelechem.2018.02.064.
Xu W, Jiao L, Yan H, Wu Y, Chen L, Gu W, Du D, Lin Y, Zhu C. Glucose oxidase-integrated metal-organic framework hybrids as biomimetic cascade nanozymes for ultrasensitive glucose biosensing. ACS Appl Mater Interfaces. 2019;11:22096–101. https://doi.org/10.1021/acsami.9b03004.
Liu J, Zhu D, Guo C, Vasileff A, Qiao S-Z. Design strategies toward advanced MOF-derived electrocatalysts for energy-conversion reactions. Adv Energy Mater. 2017;7:1700518. https://doi.org/10.1002/aenm.201700518.
Lian X, Fang Y, Joseph E, Wang Q, Li J, Banerjee S, Lollar C, Wang X, Zhou HC. Enzyme-MOF (metal-organic framework) composites. Chem Soc Rev. 2017;46:3386–401. https://doi.org/10.1039/c7cs00058h.
Song Y, Shen Y, Gong C, Chen J, Xu M, Wang L, Wang L. A novel glucose biosensor based on Tb@Mesoporous metal-organic frameworks/carbon nanotube nanocomposites. ChemElectroChem. 2017;4:1457–62. https://doi.org/10.1002/celc.201600895.
Dang X, Zhao H. Bimetallic Fe/Mn metal-organic-frameworks and Au nanoparticles anchored carbon nanotubes as a peroxidase-like detection platform with increased active sites and enhanced electron transfer. Talanta. 2020;210:120678. https://doi.org/10.1016/j.talanta.2019.120678.
Jin X, Li G, Xu T, Su L, Yan D, Zhang X. Ruthenium-based conjugated polymer and metal-organic framework nanocomposites for glucose sensing. Electroanalysis. 2021;33:1902–10. https://doi.org/10.1002/elan.202100148.
Hoa LT, Sun KG, Hur SH. Highly sensitive non-enzymatic glucose sensor based on Pt nanoparticle decorated graphene oxide hydrogel. Sens Actuat B Chem. 2015;210:618–23. https://doi.org/10.1016/j.snb.2015.01.020.
Wu G, More KL, Johnston CM, Zelenay P. High-performance electrocatalysts for oxygen reduction derived from polyaniline, iron, and cobalt. Science. 2011;332:443–7. https://doi.org/10.1126/science.1200832.
Wu G-H, Song X-H, Wu Y-F, Chen X-M, Luo F, Chen X. Non-enzymatic electrochemical glucose sensor based on platinum nanoflowers supported on graphene oxide. Talanta. 2013;105:379–85. https://doi.org/10.1016/j.talanta.2012.10.066.
Chen C, Ran R, Yang Z, Lv R, Shen W, Kang F, Huang Z-H. An efficient flexible electrochemical glucose sensor based on carbon nanotubes/carbonized silk fabrics decorated with Pt microspheres. Sens Actuat B Chem. 2018;256:63–70. https://doi.org/10.1016/j.snb.2017.10.067.
Silva-Carrillo C, Maria Felix-Navarro R, Perez Sicairos S, Trujillo-Navarrete B, Paraguay-Delgado F, Lin-Ho SW, Alonso R-S. Electrokinetic carbohydrates sensor by streaming potential with 3MPBA-PtNPs-CNTs composite material. J Electrochem Soc. 2020. https://doi.org/10.1149/1945-7111/ab788c.
Peng QY, Zhang YC, Yang SF, Yuwen TY, Liu YK, Fan JC, Zang GC. Glucose determination behaviour of gold microspheres-electrodeposited carbon cloth flexible electrodes in neutral media. Anal Chim Acta. 2021. https://doi.org/10.1016/j.aca.2021.338442.
Chen J, Ma Q, Li M, Chao D, Huang L, Wu W, Fang Y, Dong S. Glucose-oxidase like catalytic mechanism of noble metal nanozymes. Nat Commun. 2021;12:3375. https://doi.org/10.1038/s41467-021-23737-1.
Xiao T, Huang J, Wang D, Meng T, Yang X. Au and Au-Based nanomaterials: Synthesis and recent progress in electrochemical sensor applications. Talanta. 2020;206:120210. https://doi.org/10.1016/j.talanta.2019.120210.
Murugan E, Rubavathy Jaya Priya A, Janaki Raman K, Kalpana K, Akshata CR, Santhosh Kumar S, Govindaraju S. Multiwalled carbon nanotubes/gold nanoparticles hybrid electrodes for enzyme-free electrochemical glucose sensor. J Nanosci Nanotechnol. 2019;19:7596–604. https://doi.org/10.1166/jnn.2019.16743.
Mehmood S, Ciancio R, Carlino E, Bhatti AS. Role of Au(NPs) in the enhanced response of Au(NPs)-decorated MWCNT electrochemical biosensor. Int J Nanomed. 2018;13:2093–106. https://doi.org/10.2147/IJN.S155388.
Kangkamano T, Numnuam A, Limbut W, Kanatharana P, Thavarungkul P. Chitosan cryogel with embedded gold nanoparticles decorated multiwalled carbon nanotubes modified electrode for highly sensitive flow based non-enzymatic glucose sensor. Sens Actuat B Chem. 2017;246:854–63. https://doi.org/10.1016/j.snb.2017.02.105.
Meng L, Jin J, Yang G, Lu T, Zhang H, Cai CJAC. Nonenzymatic electrochemical detection of glucose based on palladium-single-walled carbon nanotube hybrid nanostructures. Anal Chem. 2009;81:7271.
Ghanam A, Haddour N, Mohammadi H, Amine A, Sabac A, Buret F. Nanoporous cauliflower-like Pd-loaded functionalized carbon nanotubes as an enzyme-free electrocatalyst for glucose sensing at neutral pH: mechanism study. Sensors. 2022;22:2706.
Tee SY, Teng CP, Ye E. Metal nanostructures for non-enzymatic glucose sensing. Mater Sci Eng C. 2017;70:1018–30. https://doi.org/10.1016/j.msec.2016.04.009.
Zhang YC, Su L, Manuzzi D, de los Monteros HVE, Jia WZ, Huo DQ, Hou CJ, Lei Y. Ultrasensitive and selective non-enzymatic glucose detection using copper nanowires. Biosens Bioelectron. 2012;31:426–32. https://doi.org/10.1016/j.bios.2011.11.006.
Dhara K, Mahapatra DR. Electrochemical nonenzymatic sensing of glucose using advanced nanomaterials. Microchim Acta. 2018. https://doi.org/10.1007/s00604-017-2609-1.
Kumar R. NiCo2O4 nano-/microstructures as high-performance biosensors: a review. Nano-Micro Lett. 2020. https://doi.org/10.1007/s40820-020-00462-w.
Hsieh C-T, Lin W-H, Chen Y-F, Tzou D-Y, Chen P-Q, Juang R-S. Microwave synthesis of copper catalysts onto reduced graphene oxide sheets for non-enzymatic glucose oxidation. J Taiwan Inst Chem Eng. 2017;71:77–83. https://doi.org/10.1016/j.jtice.2016.12.038.
Abdelrahim AM, Abd El-Moghny MG, El-Shakre ME, El-Deab MS. Promoted glucose electrooxidation at Ni(OH)(2)/graphene layers exfoliated facilely from carbon waste material. RSC Adv. 2023;13:1811–22. https://doi.org/10.1039/d2ra07309a.
Rezaeinasab M, Benvidi A, Tezerjani MD, Jahanbani S, Kianfar AH, Sedighipoor M. An electrochemical sensor based on Ni(II) complex and multi wall carbon nano tubes platform for determination of glucose in real samples. Electroanalysis. 2017;29:423–32. https://doi.org/10.1002/elan.201600162.
Baskaya G, Yildiz Y, Savk A, Okyay TO, Eris S, Sert H, Sen F. Rapid, sensitive, and reusable detection of glucose by highly monodisperse nickel nanoparticles decorated functionalized multi-walled carbon nanotubes. Biosens Bioelectron. 2017;91:728–33. https://doi.org/10.1016/j.bios.2017.01.045.
Fall B, Sall DD, Hémadi M, Diaw AKD, Fall M, Randriamahazaka H, Thomas S. Highly efficient non-enzymatic electrochemical glucose sensor based on carbon nanotubes functionalized by molybdenum disulfide and decorated with nickel nanoparticles (GCE/CNT/MoS2/NiNPs). Sens Actuat Rep. 2023. https://doi.org/10.1016/j.snr.2022.100136.
Wang F, Hu S, Shi F, Huang K, Li J. A Non-Enzymatic Sensor Based on Fc-CHIT/CNT@Cu Nanohybrids for Electrochemical Detection of Glucose. Polymers. 2020. https://doi.org/10.3390/polym12102419.
Xie FY, Cao XQ, Qu FL, Asiri AM, Sun XP. Cobalt nitride nanowire array as an efficient electrochemical sensor for glucose and H2O2 detection. Sens Actuat B Chem. 2018;255:1254–61. https://doi.org/10.1016/j.snb.2017.08.098.
Ayranci R, Torlak Y, Ak M. Non-enzymatic electrochemical detection of glucose by mixed-valence cobalt containing keggin polyoxometalate/multi-walled carbon nanotube composite. J Electrochem Soc. 2019;166:B205–11. https://doi.org/10.1149/2.0581904jes.
Kang KN, Kim SI, Yoon JC, Kim J, Cahoon C, Jang JH. Bi-functional 3D-NiCu-double hydroxide@partially etched 3D-NiCu catalysts for non-enzymatic glucose detection and the hydrogen evolution reaction. ACS Appl Mater Interfaces. 2022;14:33013–23. https://doi.org/10.1021/acsami.2c04471.
Karimi-Maleh H, Cellat K, Arıkan K, Savk A, Karimi F, Şen F. Palladium-Nickel nanoparticles decorated on Functionalized-MWCNT for high precision non-enzymatic glucose sensing. Mater Chem Phys. 2020;250:123042. https://doi.org/10.1016/j.matchemphys.2020.123042.
Zhang C, Li F, Huang S, Li M, Guo T, Mo C, Pang X, Chen L, Li X. In-situ facile preparation of highly efficient copper/nickel bimetallic nanocatalyst on chemically grafted carbon nanotubes for nonenzymatic sensing of glucose. J Colloid Interface Sci. 2019;557:829–40. https://doi.org/10.1016/j.jcis.2019.09.076.
Uzunoglu A, Kose DA, Gokmese E, Gokmese F. Electrochemical glucose detection using PdAg nanoparticles anchored on rGO/MWCNT nanohybrids. J Clust Sci. 2020;31:231–9. https://doi.org/10.1007/s10876-019-01641-5.
Chen FX, Song TL. AuPt bimetallic nanozymes for enhanced glucose catalytic oxidase. Front Chem. 2022. https://doi.org/10.3389/fchem.2022.854516.
Wang R, Liu X, Zhao Y, Qin J, Xu H, Dong L, Gao S, Zhong L. Novel electrochemical non-enzymatic glucose sensor based on 3D Au@Pt core-shell nanoparticles decorated graphene oxide/multi-walled carbon nanotubes composite. Microchem J. 2021;174:107061.
Felix S, Kollu P, Jeong SK, Grace AN. A novel CuO–N-doped graphene nanocomposite-based hybrid electrode for the electrochemical detection of glucose. Appl Phys A. 2017. https://doi.org/10.1007/s00339-017-1217-6.
Raza MH, Movlaee K, Wu Y, El-Refaei SM, Karg M, Leonardi SG, Neri G, Pinna N. Tuning the NiO thin film morphology on carbon nanotubes by atomic layer deposition for enzyme-free glucose sensing. ChemElectroChem. 2019;6:383–92. https://doi.org/10.1002/celc.201801420.
Mohajeri S, Dolati A, Yazdanbakhsh K. Synthesis and characterization of a novel non-enzymatic glucose biosensor based on polyaniline/zinc oxide/multi-walled carbon nanotube ternary nanocomposite. J Electrochem Sci Eng. 2019;9:207–22. https://doi.org/10.5599/jese.666.
Ding Y, Wang Y, Su L, Bellagamba M, Zhang H, Lei Y. Electrospun Co3O4 nanofibers for sensitive and selective glucose detection. Biosens Bioelectron. 2010;26:542–8. https://doi.org/10.1016/j.bios.2010.07.050.
Luo L, Zhu L, Wang Z. Nonenzymatic amperometric determination of glucose by CuO nanocubes–graphene nanocomposite modified electrode. Bioelectrochemistry. 2012;88:156–63.
Muqaddas S, Javed M, Nadeem S, Asghar MA, Haider A, Ahmad M, Ashraf AR, Nazir A, Iqbal M, Alwadai N. Carbon nanotube fiber-based flexible microelectrode for electrochemical glucose sensors. ACS Omega. 2023;8:2272–80.
Shakiba M, Afsharpour M. Novel graphenic-SiC nanotubes (g-SiCNT) and Cu-doped g-SiCNT/CuO composite as the effective nonenzymatic glucose sensors. Appl Surf Sci. 2022. https://doi.org/10.1016/j.apsusc.2022.154405.
Wang X, Li M, Chang Z, Yang Y, Wu Y, Liu X. Co3O4@MWCNT nanocable as cathode with superior electrochemical performance for supercapacitors. ACS Appl Mater Interfaces. 2015;7(4):2280–5.
Lin XY, Wang YF, Zou MM, Lan TX, Ni YN. Electrochemical non-enzymatic glucose sensors based on nano-composite of Co3O4 and multiwalled carbon nanotube. Chin Chem Lett. 2019;30:1157–60. https://doi.org/10.1016/j.cclet.2019.04.009.
Han J, Miao L, Song Y. Preparation of co-Co3O4/carbon nanotube/carbon foam for glucose sensor. J Mol Recogn. 2020. https://doi.org/10.1002/jmr.2820.
Waqas M, Yang L, Wei Y, Sun Y, Yang F, Fan Y, Chen W. Controlled fabrication of nickel and cerium mixed nano-oxides supported on carbon nanotubes for glucose monitoring. Electrochim Acta. 2023;440:141735. https://doi.org/10.1016/j.electacta.2022.141735.
Spokoyny AM, Kim D, Sumrein A, Mirkin CA. Infinite coordination polymer nano- and microparticle structures. Chem Soc Rev. 2009;38:1218–27. https://doi.org/10.1039/b807085g.
Jiang HL, Xu Q. Porous metal-organic frameworks as platforms for functional applications. Chem Commun (Camb). 2011;47:3351–70. https://doi.org/10.1039/c0cc05419d.
Zhu QL, Xu Q. Metal-organic framework composites. Chem Soc Rev. 2014;43:5468–512. https://doi.org/10.1039/c3cs60472a.
Zhang A, Zhang H, Hu B, Wang M, Zhang S, Jia Q, He L, Zhang Z. The intergrated nanostructure of bimetallic CoNi-based zeolitic imidazolate framework and carbon nanotubes as high-performance electrochemical supercapacitors. J Colloid Interface Sci. 2022;608:1257–67. https://doi.org/10.1016/j.jcis.2021.10.089.
de Oliveira CA, da Silva FF, Jimenez GC, Neto JF, de Souza DM, de Souza IA, Alves S Jr. MOF@activated carbon: a new material for adsorption of aldicarb in biological systems. Chem Commun (Camb). 2013;49:6486–8. https://doi.org/10.1039/c3cc40449h.
Qian D, Lei C, Hao GP, Li WC, Lu AH. Synthesis of hierarchical porous carbon monoliths with incorporated metal-organic frameworks for enhancing volumetric based CO(2) capture capability. ACS Appl Mater Interfaces. 2012;4:6125–32. https://doi.org/10.1021/am301772k.
Qin W, Li X, Zhang Y, Han L, Cheng Z, Li Z, Xu Y. Rational design of Ag nanoparticles on ZIF-67-functionalized carbon nanotube for enzymeless glucose detection and electrocatalytic water oxidation. J Alloys Compd. 2022. https://doi.org/10.1016/j.jallcom.2022.164878.
Elizbit U, Liaqat Z, Hussain MM, Baig MA, Khan D. Arif, Preparation of porous ZIF-67 network interconnected by MWCNTs and decorated with Ag nanoparticles for improved non-enzymatic electrochemical glucose sensing. J Korean Ceram Soc. 2021;58:598–605. https://doi.org/10.1007/s43207-021-00132-6.
Xie Y-Q, Zong S-W, Lu L, Zhang K-L. Proton conduction and electrochemical enzyme-free glucose sensitive sensing based on a newly constructed Co-MOF and its composite with hydroxyl carbon nanotubes. Polyhedron. 2022;226:116095. https://doi.org/10.1016/j.poly.2022.116095.
Kim SE, Muthurasu A. Highly oriented nitrogen-doped carbon nanotube integrated bimetallic cobalt copper organic framework for non-enzymatic electrochemical glucose and hydrogen peroxide sensor. Electroanalysis. 2021;33:1333–45. https://doi.org/10.1002/elan.202060566.
Wang G, Morrin A, Li M, Liu N, Luo X. Nanomaterial-doped conducting polymers for electrochemical sensors and biosensors. J Mater Chem B. 2018;6:4173–90. https://doi.org/10.1039/c8tb00817e.
Xu X, Liu C, Zhang W, Zou X. Active temperature regulation and teamed boronate affinity-facilitated microelectrode module for blood glucose detection in physiological environment. Sens Actuat B Chem. 2020. https://doi.org/10.1016/j.snb.2020.128720.
Amirzadeh Z, Javadpour S, Shariat MH, Knibbe R. Non-enzymatic glucose sensor based on copper oxide and multi-wall carbon nanotubes using PEDOT:PSS matrix. Synth Metals. 2018;245:160–6. https://doi.org/10.1016/j.synthmet.2018.08.021.
Rębiś T, Kuznowicz M, Jędrzak A, Milczarek G, Jesionowski T. Design and fabrication of low potential NADH-sensor based on poly(caffeic acid)@multi-walled carbon nanotubes. Electrochim Acta. 2021;386:138384. https://doi.org/10.1016/j.electacta.2021.138384.
Kuznowicz M, Rębiś T, Jędrzak A, Nowaczyk G, Szybowicz M, Jesionowski T. Glucose determination using amperometric non-enzymatic sensor based on electroactive poly(caffeic acid)@MWCNT decorated with CuO nanoparticles. Microchim Acta. 2022;189:159. https://doi.org/10.1007/s00604-022-05256-y.
Altintas Z, Takiden A, Utesch T, Mroginski MA, Schmid B, Scheller FW, Sussmuth RD. Integrated approaches toward high-affinity artificial protein binders obtained via computationally simulated epitopes for protein recognition. Adv Funct Mater. 2019. https://doi.org/10.1002/adfm.201807332.
Fan C, Liu J, Zhao H, Li L, Liu M, Gao J, Ma L. Molecular imprinting on PtPd nanoflowers for selective recognition and determination of hydrogen peroxide and glucose. RSC Adv. 2019;9:33678–83. https://doi.org/10.1039/c9ra05677g.
Gupta P, Gupta VK, Huseinov A, Rahm CE, Gazica K, Alvarez NT. Highly sensitive non-enzymatic glucose sensor based on carbon nanotube microelectrode set. Sens Actuat B Chem. 2021;348:130688. https://doi.org/10.1016/j.snb.2021.130688.
Zhou S, Xiao M, Liu F, He J, Lin Y, Zhang Z. Sub-10 parts per billion detection of hydrogen with floating gate transistors built on semiconducting carbon nanotube film. Carbon. 2021;180:41–7. https://doi.org/10.1016/j.carbon.2021.04.076.
Settu K, Lai Y-C, Liao C-T. Carbon nanotube modified laser-induced graphene electrode for hydrogen peroxide sensing. Mater Lett. 2021;300:130106. https://doi.org/10.1016/j.matlet.2021.130106.
Cheng J, Wang X, Nie T, Yin L, Wang S, Zhao Y, Wu H, Mei H. A novel electrochemical sensing platform for detection of dopamine based on gold nanobipyramid/multi-walled carbon nanotube hybrids. Anal Bioanal Chem. 2020;412:2433–41. https://doi.org/10.1007/s00216-020-02455-5.
Chen R, Canales A, Anikeeva P. Neural recording and modulation technologies. Nat Rev Mater. 2017. https://doi.org/10.1038/natrevmats.2016.93.
Wang L, Xie S, Wang Z, Liu F, Yang Y, Tang C, Wu X, Liu P, Li Y, Saiyin H, Zheng S, Sun X, Xu F, Yu H, Peng H. Functionalized helical fibre bundles of carbon nanotubes as electrochemical sensors for long-term in vivo monitoring of multiple disease biomarkers. Nat Biomed Eng. 2020;4:159–71. https://doi.org/10.1038/s41551-019-0462-8.
Bankar SB, Bule MV, Singhal RS, Ananthanarayan L. Glucose oxidase—an overview. Biotechnol Adv. 2009;27:489–501.
Huang H, Li T, Jiang M, Wei C, Ma S, Chen D, Tong W, Huang X. Construction of flexible enzymatic electrode based on gradient hollow fiber membrane and multi-wall carbon tubes meshes. Biosens Bioelectron. 2020;152:112001. https://doi.org/10.1016/j.bios.2019.112001.
Sabu C, Henna TK, Raphey VR, Nivitha KP, Pramod K. Advanced biosensors for glucose and insulin. Biosens Bioelectron. 2019;141:111201. https://doi.org/10.1016/j.bios.2019.03.034.
Bollella P, Sharma S, Cass AEG, Antiochia R. Minimally-invasive microneedle-based biosensor array for simultaneous lactate and glucose monitoring in artificial interstitial fluid. Electroanalysis. 2019;31:374–82. https://doi.org/10.1002/elan.201800630.
Kim J, Campbell AS, Wang J. Wearable non-invasive epidermal glucose sensors: a review, talanta 177. 2018;163–170. https://doi.org/10.1016/j.talanta.2017.08.077.
Hwang B, Li X, Kim SH, Lim S. Effect of carbon nanotube addition on mechanical reliability of Ag nanowire network. Mater Lett. 2017;198:202–5. https://doi.org/10.1016/j.matlet.2017.04.035.
Gao Y, Guo F, Cao P, Liu J, Li D, Wu J, Wang N, Su Y, Zhao Y. Winding-locked carbon nanotubes/polymer nanofibers helical yarn for ultrastretchable conductor and strain sensor. ACS Nano. 2020;14:3442–50. https://doi.org/10.1021/acsnano.9b09533.
Zhu T, Wang X, Chang W, Zhang Y, Maruyama T, Luo L, Zhao X. Green fabrication of Cu/rGO decorated SWCNT buckypaper as a flexible electrode for glucose detection. Mater Sci Eng. 2021;120:111757.
Heikenfeld J, Jajack A, Feldman B, Granger SW, Gaitonde S, Begtrup G, Katchman BA. Accessing analytes in biofluids for peripheral biochemical monitoring. Nat Biotechnol. 2019;37:407–19. https://doi.org/10.1038/s41587-019-0040-3.
Kim J, Campbell AS, Wang JJT. Wearable non-invasive epidermal glucose sensors: a review. Talanta. 2017;177:163–70.
Das R, Nag S, Banerjee P. Electrochemical nanosensors for sensitization of sweat metabolites: from concept mapping to personalized health monitoring. Molecules. 2023. https://doi.org/10.3390/molecules28031259.
Sonner Z, Wilder E, Heikenfeld J, Kasting G, Beyette F, Swaile D, Sherman F, Joyce J, Hagen J, Kelley-Loughnane NJB. The microfluidics of the eccrine sweat gland, including biomarker partitioning, transport, and biosensing implications. Biomicrofluidics. 2015;9:51–131.
Xia H-Q, Tang H, Zhou B, Li Y, Zhang X, Shi Z, Deng L, Song R, Li L, Zhang Z, Zhou J. Mediator-free electron-transfer on patternable hierarchical meso/macro porous bienzyme interface for highly-sensitive sweat glucose and surface electromyography monitoring. Sens Actuat B Chem. 2020. https://doi.org/10.1016/j.snb.2020.127962.
Oh SY, Hong SY, Jeong YR, Yun J, Park H, Jin SW, Lee G, Oh JH, Lee H, Lee SS, Ha JS. Skin-attachable, stretchable electrochemical sweat sensor for glucose and pH detection. ACS Appl Mater Interfaces. 2018;10:13729–40. https://doi.org/10.1021/acsami.8b03342.
Tian S, Wang M, Fornasiero P, Yang X, Ramakrishna S, Ho S-H, Li F. Recent advances in MXenes-based glucose biosensors. Chin Chem Lett. 2023;34:108241. https://doi.org/10.1016/j.cclet.2023.108241.
Zhang H, Wang Z, Zhang Q, Wang F, Liu Y. Ti3C2 MXenes nanosheets catalyzed highly efficient electrogenerated chemiluminescence biosensor for the detection of exosomes. Biosens Bioelectron. 2019;124–125:184–90. https://doi.org/10.1016/j.bios.2018.10.016.
Lei Y, Zhao W, Zhang Y, Jiang Q, He JH, Baeumner AJ, Wolfbeis OS, Wang ZL, Salama KN, Alshareef HN. A MXene-based wearable biosensor system for high-performance in vitro perspiration analysis. Small. 2019;15:e1901190. https://doi.org/10.1002/smll.201901190.
Promphet N, Thanawattano C, Buekban C, Laochai T, Rattanawaleedirojn P, Siralertmukul K, Potiyaraj P, Hinestroza JP, Rodthongkum N. Thread-based wristwatch sensing device for noninvasive and simultaneous detection of glucose and lactate. Adv Mater Technol. 2022;7:2101684.
Bandodkar AJ, Jia W, Yardımcı C, Wang X, Ramirez J, Wang J. Tattoo-based noninvasive glucose monitoring: a proof-of-concept study. Anal Chem. 2015;87:394–8. https://doi.org/10.1021/ac504300n.
Lipani L, Dupont BGR, Doungmene F, Marken F, Tyrrell RM, Guy RH, Ilie A. Non-invasive, transdermal, path-selective and specific glucose monitoring via a graphene-based platform. Nat Nanotechnol. 2018;13:504–11. https://doi.org/10.1038/s41565-018-0112-4.
Yao Y, Chen J, Guo Y, Lv T, Chen Z, Li N, Cao S, Chen B, Chen T. Integration of interstitial fluid extraction and glucose detection in one device for wearable non-invasive blood glucose sensors. Biosens Bioelectron. 2021;179:113078–113078. https://doi.org/10.1016/j.bios.2021.113078.
Lin M-H, Gupta S, Chang C, Lee C-Y, Tai N-H. Carbon nanotubes/polyethylenimine/glucose oxidase as a non-invasive electrochemical biosensor performs high sensitivity for detecting glucose in saliva. Microchem J. 2022;180:107547. https://doi.org/10.1016/j.microc.2022.107547.
Adeniyi O, Nwahara N, Mwanza D, Nyokong T, Mashazi P. Nanohybrid electrocatalyst based on cobalt phthalocyanine-carbon nanotube-reduced graphene oxide for ultrasensitive detection of glucose in human saliva. Sens Actuat B Chem. 2021;348:130723. https://doi.org/10.1016/j.snb.2021.130723.
Li X, Zhan C, Huang Q, He M, Yang C, Yang C, Huang X, Chen M, Xie X, Chen H-J. Smart diaper based on integrated multiplex carbon nanotube-coated electrode array sensors for in situ urine monitoring. ACS Appl Nano Mater. 2022;5:4767–78. https://doi.org/10.1021/acsanm.1c04220.
Wang F, Zhang J, Zhang M, Xu C, Cheng S, Wang Q, Zhang F, He X, He P. A multi-calibration potentiometric sensing array based on diboronic acid-PtAu/CNTs nanozyme for home monitoring of urine glucose. Anal Chim Acta. 2023;1237:340598. https://doi.org/10.1016/j.aca.2022.340598.
Li X, Zhan C, Huang Q, He M, Yang C, Yang C, Huang X, Chen M, Xie X, Chen HJ. Smart diaper based on integrated multiplex carbon nanotube-coated electrode array sensors for in situ urine monitoring. ACS Appl Nanno Mater. 2022;5:4767–78.
Luo Y, Zhang Y, Zhao Y, Fang X, Ren J, Weng W, Jiang Y, Sun H, Wang B, Cheng X, Peng H. Aligned carbon nanotube/molybdenum disulfide hybrids for effective fibrous supercapacitors and lithium ion batteries. J Mater Chem A. 2015;3:17553–7. https://doi.org/10.1039/C5TA04457J.
Guo Z, Zhao Y, Ding Y, Dong X, Chen L, Cao J, Wang C, Xia Y, Peng H, Wang Y. Multi-functional flexible aqueous sodium-ion batteries with high safety. Chem. 2017;3:348–62. https://doi.org/10.1016/j.chempr.2017.05.004.
Salatino JW, Ludwig KA, Kozai TDY, Purcell EK. Glial responses to implanted electrodes in the brain. Nat Biomed Eng. 2017;1:862–77. https://doi.org/10.1038/s41551-017-0154-1.
Teymourian H, Barfidokht A, Wang J. Electrochemical glucose sensors in diabetes management: an updated review (2010–2020). Chem Soc Rev. 2020;49:7671–709. https://doi.org/10.1039/d0cs00304b.
Wang L, Wang L, Zhang Y, Pan J, Li S, Sun X, Zhang B, Peng H. Weaving sensing fibers into electrochemical fabric for real-time health monitoring. Adv Funct Mater. 2018;28:1804456. https://doi.org/10.1002/adfm.201804456.
Jain N, Tiwari S. Biomedical application of carbon nanotubes (CNTs) in vulnerable parts of the body and its toxicity study: a state-of-the-art-review. Mater Today Proc. 2021;46:7608–17. https://doi.org/10.1016/j.matpr.2021.01.895.
Dalla Colletta A, Pelin M, Sosa S, Fusco L, Prato M, Tubaro A. CARBON-BASED nanomaterials and SKIN: an overview. Carbon. 2022;196:683–98. https://doi.org/10.1016/j.carbon.2022.05.036.
Zhou L-N, Song W-Z, Sun D-J, Yan B-Y, Chen T, Li T, Zhang J, Yu G-F, Ramakrishna S, Long Y-Z. Transparent, stretchable, and recyclable triboelectric nanogenerator based on an acid- and alkali-resistant hydrogel. ACS Appl Electr Mater. 2023;5:216–26. https://doi.org/10.1021/acsaelm.2c01281.
Gupta S, Sandhu SV, Bansal H, Sharma D. Comparison of salivary and serum glucose levels in diabetic patients. J Diabetes Sci Technol. 2015;9:91–6. https://doi.org/10.1177/1932296814552673.
Tankasala D, Linnes JC. Noninvasive glucose detection in exhaled breath condensate. Transl Res. 2019;213:1–22. https://doi.org/10.1016/j.trsl.2019.05.006.
Monge ME, Pérez JJ, Dwivedi P, Zhou M, McCarty NA, Stecenko AA, Fernández FM. Ion mobility and liquid chromatography/mass spectrometry strategies for exhaled breath condensate glucose quantitation in cystic fibrosis studies. Rapid Commun Mass Spectr. 2013;27:2263–71. https://doi.org/10.1002/rcm.6683.
Ren J, Xu Q, Chen X, Li W, Guo K, Zhao Y, Wang Q, Zhang Z, Peng H, Li Y-G. Superaligned carbon nanotubes guide oriented cell growth and promote electrophysiological homogeneity for synthetic cardiac tissues. Adv Mater. 2017;29:1702713. https://doi.org/10.1002/adma.201702713.
Feng J, Chen C, Sun X, Peng H. Implantable fiber biosensors based on carbon nanotubes. Acc Mater Res. 2021;2:138–46. https://doi.org/10.1021/accountsmr.0c00109.
Huyett LM, Mittal R, Zisser HC, Luxon ES, Yee A, Dassau E, Doyle FJ, Burnett DR. Preliminary evaluation of a long-term intraperitoneal glucose sensor with flushing mechanism. J Diabetes Sci Technol. 2016;10:1192–4. https://doi.org/10.1177/1932296816640542.
Gowda BHJ, Ahmed MG, Chinnam S, Paul K, Ashrafuzzaman M, Chavali M, Gahtori R, Pandit S, Kesari KK, Gupta PK. Current trends in bio-waste mediated metal/metal oxide nanoparticles for drug delivery. J Drug Deliv Sci Technol. 2022;71:103305. https://doi.org/10.1016/j.jddst.2022.103305.
Zeng L, Gowda BHJ, Ahmed MG, Abourehab MAS, Chen Z-S, Zhang C, Li J, Kesharwani P. Advancements in nanoparticle-based treatment approaches for skin cancer therapy. Mol Cancer. 2023;22:10. https://doi.org/10.1186/s12943-022-01708-4.
Zare H, Ahmadi S, Ghasemi A, Ghanbari M, Rabiee N, Bagherzadeh M, Karimi M, Webster TJ, Hamblin MR, Mostafavi E. Carbon nanotubes: smart drug/genedelivery carriers. Int J Nanomed. 2021;16:1681–706. https://doi.org/10.2147/IJN.S299448.
de Carvalho Lima EN, Piqueira JRC, Maria DA. Advances in carbon nanotubes for malignant melanoma: a chance for treatment. Mol Diagn Ther. 2018;22:703–15. https://doi.org/10.1007/s40291-018-0363-7.
Dolev S, Narayanan RP, Rosenblit M. Design of nanorobots for exposing cancer cells. Nanotechnology. 2019;30:315501. https://doi.org/10.1088/1361-6528/ab1770.
Degim IT, Burgess DJ, Papadimitrakopoulos F. Carbon nanotubes for transdermal drug delivery. J Microencapsul. 2010;27:669–81. https://doi.org/10.3109/02652048.2010.506581.
Acknowledgements
Guangchao Zang and Yuchan Zhang are grateful to Institute of Life Science, and Laboratory of Tissue and Cell Biology, Lab Teaching & Management Center, Chongqing Medical University, China for support. Guixue Wang and Xiangxiu Wang are grateful for the support provided by Key Laboratory of Biorheological and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, China. Hanyan Zou would like to thanks the First Batch of Key Disciplines on Public Health in Chongqing and the Public Experiment Center of State Bioindustrial Base (Chongqing), China, and Finances from Chongqing Science and Technology Commission (CQIFDC-YJKT-2022-04)
Funding
This work was supported by grants the Science and Technology Innovation Project of JinFeng Laboratory, Chongqing, China (jfkyjf202203001); the Natural Science Foundation of Chongqing (cstc2020jcyj-msxmX0330, cstc2021jsyjyzysbA0057); the National Natural Science Foundation of China (31971242, 12032007); the Project of Tutorial System of Medical Undergraduate in Lab Teaching & Management Center in Chongqing Medical University (LTMCMTS201913, LTMCMTS202111), the Project of Scientific Research and Innovative Experiment for College Student in Chongqing Medical University (SPIEP202167), and the National Project of University Students Innovation and Entrepreneurship Training Program (S202010631016). The First Batch of Key Disciplines on Public Health in Chongqing and the Public Experiment Center of State Bioindustrial Base (Chongqing), China, and Finances from Chongqing Science and Technology Commission (CQIFDC-YJKT-2022-04)
Author information
Authors and Affiliations
Contributions
TY: Conceptualization, investigation, methodology, project administration, validation, visualization, writing—original draft, writing—review & editing. DS: conceptualization, investigation, methodology, validation, writing—original draft, writing—review & editing. HZ: Funding acquisition, supervision, writing—review & editing. XY: Investigation, methodology, validation, writing—original draft, writing—review & editing. SW: Visualization, methodology, writing—review & editing. SZ: Investigation, writing—original draft, writing—review & editing. QL: Investigation. XW: Supervision, investigation. GW: Conceptualization, funding acquisition, supervision, validation, writing—original draft, writing—review & editing. YZ: Conceptualization, funding acquisition, project administration, supervision, validation, writing—original draft, writing—review & editing. GZ: Conceptualization, funding acquisition, methodology, project administration, supervision, validation, visualization, writing—original draft, writing—review & editing.
Corresponding authors
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
We have included figures and tables from previously published literature with required copyright permission from the copyright holder. We have mentioned this in the manuscript with proper citation.
Competing interests
The authors declare that they have no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Yuwen, T., Shu, D., Zou, H. et al. Carbon nanotubes: a powerful bridge for conductivity and flexibility in electrochemical glucose sensors. J Nanobiotechnol 21, 320 (2023). https://doi.org/10.1186/s12951-023-02088-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s12951-023-02088-7