Development of nanoparticle-based optical sensors for pathogenic bacterial detection
- Teodora Mocan†1, 2,
- Cristian T. Matea†1, 5,
- Teodora Pop†3,
- Ofelia Mosteanu†3,
- Anca Dana Buzoianu†4,
- Cosmin Puia†1, 5,
- Cornel Iancu†1, 5Email author and
- Lucian Mocan†1, 5Email author
© The Author(s) 2017
Received: 11 December 2016
Accepted: 20 March 2017
Published: 31 March 2017
Pathogenic bacteria contribute to various globally important diseases, killing millions of people each year. Various fields of medicine currently benefit from or may potentially benefit from the use of nanotechnology applications, in which there is growing interest. Disease-related biomarkers can be rapidly and directly detected by nanostructures, such as nanowires, nanotubes, nanoparticles, cantilevers, microarrays, and nanoarrays, as part of an accurate process characterized by lower sample consumption and considerably higher sensitivity. There is a need for accurate techniques for pathogenic bacteria identification and detection to allow the prevention and management of pathogenic diseases and to assure food safety.
The focus of this review is on the current nanoparticle-based techniques for pathogenic bacterial identification and detection using these applications.
Pathogenic bacteria contribute to various globally important diseases, killing millions of people each year . The amount of pathogen required to cause infection in the host does not need to be high to lead to life-threatening conditions such as sepsis, which is a major public health concern . The incidence of sepsis is underestimated, and common risk factors include being of a very young or old age. A drawback in the management of sepsis is the length of time required to develop cultures for diagnosis. A severe blood infection, sepsis requires the identification of the responsible organism (bacterium, fungus, virus, or parasite). When bacteria are present, a more thorough analysis involves extensive cell cultures. Sepsis is only treated after identification of the microorganism and assessment of its antibiotic resistance . Bacterial counts below 10 colony-forming units per milliliter (CFU/mL) of blood are not sufficient for identifying bacteria using non-DNA based techniques; only additional bacterial cultures can provide the amount necessary for accurate diagnosis .
Various fields of medicine currently benefit from or may potentially benefit from the use of nanotechnology applications, in which there is growing interest [5–8]. The use of nanotechnology in medicine, especially in drug delivery, may revolutionize this domain and is expected to spread rapidly in coming years [9–16]. Various other applications are based on genetic engineering advances and improved imaging technologies, such as in vivo imaging, in vitro diagnostics (which can detect diseases, conditions, or infections), multiple types of therapies, biomaterials (which interact with biological systems for therapeutic or diagnostic purposes), and tissue engineering (which combines scaffolds, cells, and biologically active molecules to improve or replace biological tissues) [17–24].
Disease-related biomarkers can be rapidly and directly detected by nanostructures, such as nanowires, nanotubes, nanoparticles, cantilevers, microarrays, and nanoarrays, as part of an accurate process characterized by lower sample consumption and considerably higher sensitivity [25–35]. Not only does nanotechnology enable the early identification of viruses, bacteria, and circulating tumor cells, it also has proven potential for single-cell analysis .
The use of carbon nanotubes, magnetic nanoparticles, and quantum dot-based nanoprobes for in vivo targeted imaging might pave the way for the rapid, minimally invasive, and more rigorous diagnosis of diseases like cancer, which could be detected at an early stage and monitored throughout its course [37–39]. Moreover, the confirmation of in vivo therapeutic efficacy, the assessment of nanocarrier biodistribution, the ability to pinpoint the exact location of the tumor and the surrounding healthy tissue, and the possibility of lymphatic mapping and sentinel node analysis are other benefits of nanotechnology-based applications [40–44].
Nanomaterials have unique physical and chemical properties (ultra-small size, large surface-area-to-mass ratio, high reactivity) that are different from bulk materials of the same composition and that help them overcome some of the limitations of traditional therapeutic and diagnostic agents [35, 45–48]. Synthesized hafnium oxide-gold core–shell nanoparticles showed enhanced plasmon absorption bands, while synthesized gold nanoshells, gold nanorods, carbon nanotubes and magnetic nanoparticles have been shown to be efficient in nanoparticle-induced magnetic hyperthermia treatments, causing cancerous cells to undergo apoptosis in direct response to applied heat. There are also data demonstrating that nanocrystalline silver dressings may reduce bacterial levels, decrease the chronic inflammatory response, and promote wound healing [17, 18, 49, 50]. There is a need for accurate techniques for pathogenic bacteria identification and detection to allow the prevention and management of pathogenic diseases and to assure food safety.
Conventional techniques employed for detecting microorganisms, such as microbial cultures and bacterial growth, are lengthy and difficult to perform, requiring 6–24 h for the growth process , followed by 1–3 days for the morphological and biochemical characterization of bacterial isolates.
The main features of the most important reported methods for bacteria detection
Type of nanoparticle
Limit of detection (CFU/mL)
Joo 2012, 
Superparamagnetic Fe3O4 nanoparticles functionalized with monoclonal antibodies toward Salmonella
Rapid, and cost-effective
Wang 2016, 
Polyethylenimine (PEI)-modified Au-coated magnetic microspheres (Fe3O4@Au@PEI) and concentrated Au@Ag nanoparticles (NPs),
SERS detection method
Simple operating procedure, total assay time 10 min.
Qi 2016, 
Cadmium sulfide (CdS) nanoparticles
Short detection time
Gao 2006, 
FePt@Van magnetic nanoparticles,
Bacteria detection under 2 h
Raj 2015, 
Cysteine gold nanoparticles (CAuNPs)
20 ± 2
Fast, visual method
Li 2013, 
Streptavidin coated magnetic nanoparticles
Escherichia coli Salmonella
Vibrio cholera Campylobacter jejuni
Simultaneous detection of four pathogens
Cao 2011, 
Bimetallic Au@Ag core–shell structures
27.7 ± 6.8
Immuno-magnetic separation-polymerase chain reaction
Cost-effective, only basic equipment needed
Sepunaru 2015, 
Silver NPs (AgNPs)
90.4 ± 3.6
Anodic particle coulometry technique
Single bacteria detection
Wang 2016, 
Au-coated magnetic nanoparticles (AuMNPs) conjugated with Staphylococcus aureus (S.aureus) antibody
SERS detection method
Low limit of detection
Cao 2014, 
103 times more sensitive than traditional beacon probes
Zhang 2012, 
Multifunctional magnetic–plasmonic Fe3O4–Au core–shell nanoparticles (Au-MNPs)
248.6 ± 35.8
SERS detection method
One-step concentration and detection
Zhou 2014, 
Total assay time of 10 min.
Wu 2014, 
Multicolor upconversion nanoparticles coupled with magnetic nanoparticles
Vibrio parahemolyticus, and Salmonella typhimurium
Multiplexed Luminescence Bioassay Method
High specificity, simultaneous detection
Bacterial detection using gold nanoparticles
Gold nanoparticles (AuNP) have been used over a wide range of biological applications due to their characteristics such as the surface Plasmon band localization in the visible spectrum, ease of synthesis, various functionalization capabilities [67–70].
AuNP fluorescent molecular beacons were prepared for synthetic DNA and bacterial 16S rRNA detection of Escherichia coli (DH5α) in cell cultures . AuNP–DNA molecular beacon conjugates determined a sensitivity enhancement by three orders of magnitude, allowing for the detection of E. coli within 1 h (100 CFU/mL, 1000 times more sensitive than molecular beacons alone). In another instance, dipicolinic acid, a unique biomarker of bacterial spores, was detected by using Tb3+ and Eu3+ chelated AuNPs as nanosensors . Also, Jin et al.  used lanthanide-doped upconversion nanoparticles functionalized with complementary DNA in conjunction with aptamer functionalized gold nanoparticles for a detection platform based on fluorescence resonance energy transfer in order to detect E. coli in real food and water samples.
The interaction of AuNPs with cysteine was tested by Raj et al.  for the detection of E. coli. The binding affinity of E. coli 0157:H7 to H2 receptors on the surface of cysteine-modified AuNPs was demonstrated by the electrostatic adhesion between the positively charged cysteine and the negatively charged lipopolysaccharides on the bacterial outer membrane. The negative charge enabled E. coli stabilization. The cross-linking of cysteine-capped AuNPs was performed in the presence of a defined number of bacteria with a clear red-to-blue shift in sample color and a highly sensitive naked-eye detection of bacteria. Urine samples (3 × 104 cells/mL) were concentrated using cysteine-capped AuNPs for further clinical use. There was a maximum shift of 10 nm, consistent with values obtained in conventional aqueous solutions, demonstrating that the new method can be used to accurately detect and assess E. coli 0157:H7 bacteria. A novel aptasensor for the colorimetric detection of Salmonella typhimurium based colour change effect of gold nanoparticles was developed by Ma et al. . Gold nanoparticles were functionalized with aptamers capable recognize S. typhimurium which acted as stabilizers for the GNPs even at high concentrations of NaCl. In the presence of the S. typhimurium bacteria the aptamers present on the nanoparticle surface bind to the bacteria which results in the aggregation of the GNPs, thus a visible colour change. The limit of detection for this method was as low as 56 CFU/mL. Another study that utilizes the antibody functionalized AuNPs for detection of Lactobacillus spp. and Staphylococcus aureus was presented by Verdoot et al. . In this case the local surface plasmon resonance (LSPR) band of the AuNPs is monitored by means of UV–Vis spectroscopy.
Polyethylenimine (PEI)-capped AuNPs were developed as another biosensor for the rapid detection of bacteria . The colorimetric assay demonstrated the high binding affinity of positively charged PEI-AuNPs to bacteria with a negative charge. There was a strong interaction between PEI-AuNPs and β-galactosidase on the bacterial surface. The method was conceived to be simple and quick, and allowed a detection limit close to 10 CFU/mL. The aim was to ensure that the positively charged AuNPs selectively bind to the negatively charged bacterial cell wall in the presence of teichoic acids in Gram-positive bacteria or of lipopolysaccharides in Gram-negative bacteria. There were competitive interactions between PEI-AuNPs and the bacterial or enzyme surfaces when β-galactosidase was present.
Dual nanocatalysis was employed for the detection of Campylobacter jejuni, a Gram-negative spiral-shaped bacteria responsible for campylobacteriosis, one of the most common bacterial infections in humans. The model immunoassay was performed on a glass slide, displaying rapid and selective detection of C. jejuni with at least four orders of magnitude greater linear dynamic range and a limit of detection of 10 CFU/mL .
Au–Ag core–shell nanoparticles were used by Ding et al.  to form aggregates for simultaneous bacterial imaging and synergistic antibacterial activity. The principle of this approach is based on the fact that the positively charged Au–Ag core–shell NPs form aggregates on the negatively charged bacterial surface of S. aureus with an enhanced two-photon photoluminescence effect.
Gold-coated magnetic nanoparticles were synthesized employing hydroxylamine seeding based on a sonochemical method . The nanoparticles had the same size and shape, were stable, and possessed excellent magnetic responsivity and strong surface-enhanced Raman spectroscopy (SERS) activity.
A label-free method for the quick and effective detection of bacteria was developed in another study using SERS, PEI-conjugated gold-coated magnetic microspheres, and gold-shell-coated silver nanoparticles (AgNPs) . The capture-enrichment-enhancement (CEE) three-step method employed the capture and enrichment properties of PEI-conjugated gold-coated magnetic microspheres and SERS enhancement properties, so that the bacteria could be detected within 10 min. The synthesis of magnetic microspheres for the efficient capture and separation of bacteria and for use as SERS substrates for bacterial analysis, and that of concentrated gold-shell-coated AgNPs for their reinforcing efficiencies, was consistent with the method requests. There were strong electrostatic interactions between PEI containing a positive charge and bacterial cells with a negative charge, which allowed for rapid and efficient bacterial capture and enrichment. This method proved to be efficient when using the optimum incubation time and particle concentration, detecting E. coli and S. aureus at a minimum detectable level of 1000 CFU/mL.
Bacterial detection using silver nanoparticles
Silver nanoparticles (AgNPs), due to their unique characteristics, present a high interest for several applications in life sciences. For example, Raman-based detection of bacteria using protein-A-antibody-modified AgNPs was employed in a study conducted by Ghinwa et al. . Selectivity was achieved by incubating bacteria with adequate polyclonal antibodies. The selectivity of bacteria with surface-enhanced Raman spectroscopy was superior to that of bulk Raman spectroscopy.
Lectin-sensitized anisotropic AgNPs were prepared to detect various bacterial strains, both Gram-negative and Gram-positive . Major changes in the optical properties of the nanoparticles were induced following their interactions with bacteria.
Individual bacteria were rapidly detected using anodic particle coulometry . As their binding affinity is well-known, citrate-capped AgNPs (9.4 ± 3.6 nm diameter) and E. coli demonstrated the detection of individual bacteria within 1 min in solution containing 0.3 pM E. coli cells. Due to factors such as the high surface functionality of bacteria, the affinity of AgNPs for bacteria, and the electrochemical properties of the nanoparticles, the charge of individual bacteria was twice as high as the noise level.
Sulfate-reducing bacteria were selectively detected in a new approach using the photocatalytic properties of zinc sulfide (ZnS) nanoparticles . The synthesis of these nanoparticles was based on specific bacterial metabolism and they were employed as photocatalysts for the photodegradation of methylene blue. This process was influenced by the baseline concentration of bacteria. There was a linear relationship between the photodegradation of methylene blue and bacterial concentration (1.0 × 103 to 1.0 × 108 CFU/mL). The new approach also showed good specificity for the detection of sulfate-reducing bacteria.
An assay based on surface-enhanced Raman spectroscopy analysis and AgNPs was developed to detect individual bacterial species on microarrays . SERS-active AgNPs were synthesized directly onto the surface of bacterial cells, mainly E. coli, determining the high detection-sensitivity of these microorganisms on a microarray platform. This method also employed receptor-selective antibodies. There was a tenfold increase in the Raman signal of the novel nanocompound compared to the values obtained when simply combining bacteria with AgNPs. Laser excitation below 633 nm exhibited optimal SERS activity of bacteria@AgNPs, probably as a result of the surface plasmon interactions of aggregated AgNPs.
Bacterial separation/detection using magnetic nanoparticles
Nanoparticle-based platforms have been employed for the diagnosis of tuberculosis in order to achieve early detection for better infection control. Bacillus Calmette-Guérin (BCG) was used as a surrogate for Mycobacterium tuberculosis, showing a remarkable detection speed and sensitivity. Twenty CFU/mL were detected in sputum in <30 min .
Fluorescent magnetic nanoparticles have been used for biomedical applications to achieve rapid, sensitive, and cheap detection of bloodstream infections. Vancomycin-modified magnetic nanoparticles were used to generate multivalent interactions and to detect bacteria in blood samples . The enrichment culture was further subjected to fluorescent vancomycin staining and bacteria were detected within 2 h, showing a sensitivity of 10 CFU/mL. The back titration method was used to confirm bacterial counts.
It was also demonstrated that the bioorthogonal labeling of living bacteria using synthesized TCO derivatives of vancomycin resulted in enhanced antibacterial activity following incubation for 24 h. This phenomenon might be caused by interference with the peptidoglycan layer in the bacterial cell wall, which is formed from the alternating linear chains of NAG and NAM amino sugars. The permeability of Vanc-TCO into mammalian cell cultures might also enable the detection of intracellular bacteria, for example those within macrophages.
Applications based on fluorescent nanocrystal quantum dots were described for the detection of bacteria with flow cytometry and flow cytometric determination of magnetic nanoparticle collection and separation . The authors employed quantum dot fluorescent labels for specific conjugates against Bacillus anthracis and Yersinia pestis, facilitating bacterial dissemination. Highly sensitive multiplex detection of the two types of bacteria was achieved (103 bacteria/mL in the original sample). Fluorescence-activated cell sorting (FACS) was used for sensitive and selective analysis and enumeration of viable bacteria in the sample. The authors also developed an assay for the collection of viable Gram-negative bacteria (Y. pestis). Magnetic nanoparticles enabled the immunomagnetic detection and separation of bacteria, with fast sorting at high/low bacterial concentrations (10 5 CFU/mL) .
A magnetic nanoparticle microarray was developed for the simultaneous and simple detection of foodborne pathogens . DNA microarray analysis using multiplex polymerase chain reaction (PCR) and labeling based on magnetic nanoparticles was described by Song et al. for the simultaneous detection of four common foodborne pathogens, E. coli O157:H7, Salmonella enterica, Vibrio cholera, and C. jejuni. The process employs two-stage amplifiers to simultaneously intensify target genes. The hybridization of biotinylated single-stranded PCR products to microarray probes was followed by the addition of magnetic nanoparticles coated with streptavidin in order to visualize the results of the hybridization process. The assay proved efficient and exhibited low detection limits (316 CFU/mL), suitable for diagnosing infectious diseases in the laboratory or as part of real-time observations.
Sequence-specific detection of individual DNA strands was achieved in an assay developed by Strelau et al.  using surface-enhanced Raman scattering and magnetic nanoparticles for enrichment of target molecules. Hybridization in solution was employed for rapid and efficient binding of longer DNA strands (PCR products). DNA strands were purified and amplified after they were separated using magnetic nanoparticles. The hybridization of a dye-modified, short synthetic single-stranded DNA was performed upon binding of the target DNA, serving as a Raman label. Molecular binding was detected by SERS spectra. The method was first applied using short synthetic oligonucleotides to assess its specificity, and later used to detect PCR amplification products for specific identification of epizootic hemorrhagic disease viruses. The authors used PCR targets based on sequences of Mycoplasma mycoides subspecies mycoides Small Colony type, which causes contagious bovine pleuropneumonia. Three different PCR products labeled with three different dyes were simultaneously detected to show the strong SERS multiplexing ability. The results indicated the likelihood of employing magnetic beads for Raman-based detection of PCR products amplified from the DNA of epizootic pathogens.
The synthesis of amino-functionalized silica-coated magnetic nanoparticles and PCR was used for the rapid detection of foodborne pathogens via DNA isolation from milk . The rapid and sensitive detection of single or multiple target pathogens was achieved in combination with PCR identification. The method employed both Gram-negative (Salmonella enteritidis) and Gram-positive (Listeria monocytogenes) bacteria to contaminate raw milk samples, obtaining a detection limit comparable to that of the immunomagnetic separation-polymerase chain reaction (IMS-PCR) assay. The detection limit in artificially contaminated raw milk was 8 CFU/mL for S. enteritidis and 13 CFU/mL for L. monocytogenes when using the simplex PCR assay, and 15 CFU/mL for S. enteritidis and 25 CFU/mL for L. monocytogenes when using the multiplex PCR assay. Listeria monocytogenes detection by employing magnetic nanoparticles (MNPs) and the NMR technique was proposed by Zhao et al.  Antibody functionalized silica coated MNPs dispersed in solution were found to self-assemble on the surface of a bacterial target accompanied by the increase of the T2 value of water protons which is detected with the aid of nuclear magnetic resonance, with a total protocol time of 40 min.
In another study, pathogenic bacteria were detected using antibody-conjugated magnetic nanoparticles . Following synthesis, nanoparticles were magnetically separated from the analyte and used to detect Salmonella in milk. The MNP-Salmonella complexes were redispersed in buffer and exposed to antibody-immobilized TiO2 nanocrystals with increased light absorption near 230 nm. Following magnetic separation, the UV–Vis absorption spectra were collected for the solutions containing unbound TNs. Due to the inversely proportional relationship between light absorption intensity and the concentration of bacteria, there was high sensitivity for low concentrations of Salmonella. The results obtained a detection limit of Salmonella in milk samples of >100 CFU/mL.
Synthesized core–shell gold-coated Fe3O4 magnetic nanoparticles (AuMNPs) were characterized using SERS for simultaneous fast concentration and sensitive detection of bacteria . The application of an external magnetic field resulted in effective condensation within 5 min using 10 µL of 105 CFU/mL bacteria and 3 µg/mL AuMNPs on a silicon surface. The concentration of bacteria in the dot area was 60 times greater than in the surrounding area. The bacteria were surrounded by homogeneous AuMNPs, which enabled their sensitive and reproducible detection by SERS. Three different strains of Gram-negative bacteria could be distinctly discriminated when using the principle component analysis (PCA) technique. The authors indicated the potential use of quantum dot AuMNPs as highly sensitive SERS-active substrates with a detection limit that was better than 0.1 ppb for small molecules (for example, 4-mercaptopurine).
In another study, quaternized magnetic nanoparticles (q-MNP)–fluorescent polymer systems were employed in an assay to support bacterial identification and detection . The authors showed that the kinetics of q-MNP-PFBT polymer conjugates suggests their use as competent sensors for detecting pathogens. The application of linear discriminant analysis (LDA) allowed the successful classification of eight different bacterial species: Shewanella oneidensis, Vibrio fischeri, Micrococcus luteus, Edwardsiella tarda, and E. coli in Luria–Bertani medium; Vibrio alginolyticus and Pseudomonas aeruginosa in tryptic soy broth; and Pichia pastoris in yeast extract peptone dextrose medium. The canonical discriminant analysis was quick, easy to perform, and inexpensive. The sensitivity of this approach might be suitable for the detection of pathogenic bacteria, proteins, or DNA tests .
Bacterial detection using other types of nanoparticles
The capture and detection of E. coli was achieved with immuno-nanorice particles obtained by attaching polyclonal antibodies to the surface of the nanorice (hybrid nanoparticles with plasmonic properties of both nanoshells and nanorods in a single structure). The attachment of specific anti-E. coli antibodies to the nanorice was aided by protein-A molecules. The new particles demonstrated their binding affinity for E. coli cells. Following the capture of bacterial cells, the immuno-nanorice-bacteria complex was separated from the aqueous solution using the magnetic properties of the nanorice. Ultraviolet resonance Raman (UVRR) spectroscopy allowed the detection of single bacterial cells when analyzing the bacteria sorbed onto the immuno-nanorice, with the substrate increasing the Raman intensity by several orders of magnitude . In another instance, the differentiation between Gram+ and Gram− bacteria was achieved by using 3D bio-inorganic scaffold of Agnanoplate aggregate–bacteria–Au@Ag vertical nanorod supercrystal coupled with SERS .
Another nanosystem for bacterial detection and inhibition was designed using polyion complex (PIC) micellar nanoparticles . The binding of bacteria to the PIC nanosystem resulted in dissolution as a consequence of competitive binding of polycation blocks with negatively charged bacterial surfaces, followed by prominent fluorescence employed as a real-time module for microbial detection. The use of fluorometric assays led to a detection limit of 5.5 × 104 CFU/mL for suspensions of E. coli cells. The minimum inhibitory concentration of PIC micellar nanoparticles was 19.7 mg/mL, demonstrating their potential use as antibacterial agents and displaying significant antibacterial effects.
Isothermal amplified detection of RNA was employed for the visual and sensitive detection of viable pathogenic bacteria based on a bioactive paper-based platform . The results were transformed into a two-dimensional bar code for a more thorough analysis. The assay included quick and efficient RNA extraction, amplification, and visualization. Concentrations of viable L. monocytogenes exhibited a detection limit of 0.5 pg/μL genomic RNA with high specificity within 15 min. The assay can be employed for the specific detection of 20 CFU/mL of L. monocytogenes in milk and cheese samples. The authors demonstrated that due to its viability, this assay allows for the transmission, reception, and sharing of the results with remote examiners for further testing .
Vibrio parahaemolyticus and S. typhimurium were simultaneously detected as part of an approach using a dual fluorescence resonance energy transfer (FRET) system from green-emitting quantum-dots (gQDs) and red-emitting quantum-dots (rQDs) and nanoparticles containing amorphous carbon . The gQDs-aptamer conjugates were employed to detect V. parahaemolyticus, while the rQDs-aptamer conjugates detected S. typhimurium. There was considerable fluorescence quenching between quantum dots and CNPs. There was also a linear relationship between quantum dot fluorescence emission and bacterial concentration, ranging from 50 to 106 CFU/mL. This method identified V. parahaemolyticus with detection limits of 25 CFU/mL, and S. typhimurium with detection limits of 35 CFU/mL. Bacteria were detected in real food samples and the results were in agreement with those obtained by the conventional plate count method .
Bacterial detection based on the preparation of CdSe/ZnS@SiO2 fluorescent nanoparticles was suggested in another study . The bacterium employed in this review was S. typhimurium. The reverse micro-emulsion method was used for the preparation of quantum dot-doped silica nanoparticles. The conjugated nanocomposite was prepared based on a two-step procedure for cross-linking with glutaraldehyde. The intensity of fluorescent light was directly proportional to the concentration of bacteria (6.6 × 102 to 6.6 × 104 CFU/mL, equation I = 0.1331 log C − 0.2017, R2 = 0.9974). The results showed a detection limit of 3.3 × 102 CFU/mL. This assay might also be used to detect other types of bacteria.
Cadmium sulfide (CdS) nanoparticles were prepared as fluorescent sensors for detection of sulfate-reducing bacteria (SRB) . The nanoparticles were analyzed by transmission electron microscopy, selected area electron diffraction (SAED), and fluorescence spectroscopy. The CdS nanoparticles demonstrated a linear response in SRB culture solution (1.0 × 102 to 1.0 × 107 CFU/mL). There was a direct relationship between bacterial concentration and the intensity of the spectra, with a greater detection of SRB at higher concentrations. Concentrations ranged from 1.0 × 102 to 1.0 × 107 CFU/mL. There was a regression slope of 104.23 and a correlation coefficient of 0.996 (FI = 104.23 × logNSRB + 30.63). This newly developed method for the detection of SRB might replace biological recognition elements, as it is cheaper, less time-consuming, and able to preserve specific recognition properties. In another study, cadmium tellurium quantum dots were proposed by Cihalova et al.  for the detection of S. aureus, MRSA and K. pneumoniae. By preparing complementary oligonucleotides for the specific bacterial genes (fnbA for S. aureus, mecA for MRSA and wcaG for K. pneumoniae) and labeling them for simultaneous detection the detection limit of the method was as low as 102 CFU/mL.
The present review aims to discuss the significance and current issues related to the detection of bacteria, discussing some of the most relevant nanoparticle-based assays for this process. We provide information regarding the various methods employed for the detection of bacteria using vancomycin-, daptomycin-, and antibody-modified nanoparticles, as well as details on the bioconjugation of different types of nanoparticles. The use of nanoparticle-based methods might lead to further advances in the development of highly sensitive and specific assays for bacterial detection.
LM, MC, CP and IC performed analysis of the literature, CM, OM, TP and DG wrote the paper, LAC designed the study; LM supervised and corrected the manuscript. All authors read and approved the final manuscript.
This work was supported by the Romanian National Authority for Scientific Research and Innovation, CNCS-UEFISCDI, Project Numbers PN-II-RU-TE-2014-4-2267; PN-II-PTPCCA-2011-3.1-1586; PN-II-PT-PCCA-2011-3.1-1551; PN-II-PT-PCCA-2011-3.2-1289;PN-II-PT-PCCA-2013-4-1553;PN-III-P2-2.1-BG-2016-0446; PN-III-P2-2.1-PED-2016-1742.
The authors declare that they have no competing interests.
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