Characterization of the nonlinear optical properties of nanocrystals by Hyper Rayleigh Scattering
© Joulaud et al.; licensee BioMed Central Ltd. 2013
Published: 10 December 2013
Harmonic Nanoparticles are a new family of exogenous markers for multiphoton imaging exerting optical contrast by second harmonic (SH) generation. In this tutorial, we present the application of Hyper-Rayleigh Scattering (HRS) for a quantitative assessment of the nonlinear optical properties of these particles and discuss the underlying theory and some crucial experimental aspects.
The second harmonic properties of BaTiO3, KNbO3, KiTiOPO4 (KTP), LiNbO3 and ZnO nanocrystals (NCs) are investigated by HRS measurements after careful preparation and characterization of colloidal suspensions.
A detailed analysis of the experimental results is presented with emphasis on the theoretical background and on the influence of some experimental parameters including the accurate determination of the nanocrystal size and concentration. The SH generation efficiency and averaged nonlinear optical coefficients are then derived and compared for six different types of NCs.
After preparation of colloidal NC suspensions and careful examination of their size, concentration and possible aggregation state, HRS appears as a valuable tool to quantitatively assess the SH efficiency of noncentrosymmetric NCs. All the investigated nanomaterials show high SH conversion efficiencies, demonstrating a good potential for bio-labelling applications.
Imaging techniques are increasingly accompanied by nanotechnological developments aiming at the reliable, scalable, and efficient production of nanoparticle-based bio-markers with specific physical, optical, and chemical properties . The use of multiphoton microscopy combined with fluorescent labels has undoubtedly led to improvements in terms of spatial resolution, depth penetration in biological tissues, and reduction of photo-damage [2, 3]. However, these optical labels generally suffer from bleaching and blinking limiting optical contrast and observation time. A new generation of nanoparticles based on nonlinear optical response is being developed in this context to overcome these limitations and complement fluorescent labels. Second Harmonic emission from non-centrosymmetric nanocrystals (NCs) indeed presents appealing features for bio-imaging such as a long-term photostability and virtually unlimited wavelength flexibility[4–9].
In linear optics, we define the macroscopic polarization P induced on a medium by an electromagnetic field E (characterized by an oscillation frequency or a wavelength ) as . According to this relationship, the polarization is proportional to the incident field and the linear response of the medium is characterized by its susceptibility . The radiated intensity is proportional to the incident intensity and the frequency remains the same. In nonlinear optics, the intensity of the incident electric field being much higher, the induced polarization is no longer proportional to the incident field and additional nonlinear terms must be included, , where higher-order susceptibilities , are tensors referring to the medium characteristics which determine its nonlinear optical response. SH generation is a second-order optical process depending on where a fraction of the incident light wave is converted into radiations with frequency twice the incident one. It is worth noting that bulk SH generation is only observed in noncentrosymmetric media, limiting the choice of harmonic nanoparticles to a specific class of materials.
Optical contrast based on frequency doubling process can bring several benefits for bio-imaging. First of all, involving exclusively virtual electronic states, it does not imply energy absorption preventing bleaching usually observed with fluorescent and luminescent nanoparticles. Therefore, it is possible to achieve observations over long time durations with no decrease in signal quality . In addition, SH generation is a non-resonant process which can occur for any excitation wavelength [10–12]. Consequently, excitation wavelengths can be selected in spectral ranges where the biological tissue absorption and scattering are low so that photo-damage is limited and penetration depth increased . A wise choice of the excitation wavelength also allows avoiding hindrance by sample autofluorescence increasing image contrast. In terms of emitted intensity, the SH signal scattered by NCs is related to the square intensity of incident power. Detection and imaging of such individual bio-markers generally requires high peak-power excitation beams, a condition nowadays easy achievable with femtosecond lasers even for very moderate pulse energies [13, 14]. Practically, the preparation of SH nanocrystals as bio-labels involves a good knowledge in chemical synthesis and functionalization. Nanocrystals in the 10-100 nm size range with good crystallinity  and low cytotoxicity [10, 16, 17] are typically required as well as the development of conjugation techniques [18–20] for an efficient interaction between the NCs and the biomolecules of interest. Finally, the selection of optical labels with high SH efficiency requires the development of experimental techniques to quantitatively assess the nonlinear optical response of nanocrystals. SH generation is indeed well known in bulk crystals and can also be easily characterized in thin films and agglomerated powders. However, characterization techniques for nonlinear nanocrystal ensembles are sorely lacking. In this paper, we propose to apply the Hyper-Rayleigh Scattering (HRS) technique, originally developed for the investigation of harmonic light scattering in molecular solutions, in order to characterize the SH efficiency of solvent-dispersed non-centrosymmetric NCs.
The theory and first experimental detection of Hyper-Rayleigh Scattering were first exposed in 1965 [21, 22]. In a series of experiments, HRS was later used to determine the second-order nonlinear optical properties of molecules including species with no permanent dipole moments [23, 24]. The HRS intensity is defined as the incoherent sum of SH signals scattered by different sources excited by an incident field of intensity : , where the subscript i refers to the different species in solution. stands for which is the average amplitude of the second-order molecular hyperpolarizability and brackets indicate isotropic orientational averaging. This quantity describes the molecular nonlinear optical response considering that local microscopic fields Eloc induce dipole moments that can be written as where β is here a third-rank tensor. N i is the species concentration, F a local field factor depending on the surrounding medium refractive index, and G an experimental proportionality constant. From the above HRS intensity equation, the square dependence on the incident intensity and the linear behaviour with the concentration species can be noticed. Besides, quantitative assessment of the hyperpolarizability of nonlinear species with the external reference method is specifically based on this linear trend [23, 24]. By varying the molecule concentration (Ni) and measuring the corresponding HRS intensity (IHRS), one can obtain the slope α defined as from the curve . Hyperpolarizability is then derived by comparison with the experimental slope measured from a reference solution containing molecules of known hyperpolarizability. The above procedure assumes that the parameter G remains unchanged for defined experimental conditions whereas local field factors can be calculated from solvent indices.
Second harmonic NC characterization from HRS
The external reference method can again be applied to determine provided that the suspension concentration is known. In addition, quantitative assessment of the parameter also assumes that the nanocrystal size is independently estimated.
Our HRS experimental set-up  is based on a Q-switched Nd:YAG laser (Wedge HB, Bright solutions, 1 mJ/1 ns). The vertically polarized beam is focused by a 20 cm focal length lens into a glass cuvette containing the NCs suspension. Scattered SH signal is collected at 90° from the laser beam axis with a 5 cm focal length lens and measured by a photomultiplier tube. A colored glass filter (short pass) and an interferometric filter (532 nm) are placed before the photomultiplier to remove unwanted signals. The unpolarized HRS signal is finally processed by a boxcar amplifier after integration and averaging over typically 1000 laser shots.
Preparation of NC suspensions
Different types of particles are investigated in this work: agglomerated BaTiO3 and KNbO3 nanopowders obtained by ball grinding of bulk crystals (kindly supplied by FEE GmbH, Idar-Oberstein, Germany), KTP nanocrystals extracted from raw powder at the end of the flux-growth process (kindly provided by Cristal Laser, Messein, France) . LiNbO3 nanocrystals synthesised by a hydrolysis method  supplied by the SRSMC laboratory (Nancy, France), and, two commercial batches of ZnO with different average nominal sizes of 20 nm and 90-200 nm purchased from NanoAmor Inc. (Houston, USA).
Colloidal suspensions with low size dispersion and good stability are obtained following a specified protocol [10, 37]. Dry nanopowders are first dispersed in water or ethanol at 0.5 mg/mL concentration and sonicated (Vibra Cell 75043, Bioblock Scientific) during 25 min in pulsed mode (1 s on, 4 s off). Large particles and remaining aggregates are then excluded by leaving the solution settling down during a period of 1 to 7 days depending on the NCs type. As-obtained supernatants have a typical concentration of 0.1 mg/mL. Size and size dispersion are then characterized by Dynamic Light Scattering (Malvern ZetasizerNanoZS). Concentration of solvent-dispersed NCs is measured after evaporation of a precise volume of the obtained suspension and weighing the residual.
Hyper-Rayleigh Scattering Data Analysis
, the Lorentz-Lorenz local field factor correction, is given by with the refractive index of methanol. The internal field factor is expressed as where and are the refractive indices (considered here without index dispersion i.e., ) of solvent and NCs, respectively. The reference value of the pNA molecular hyperpolarizability is  from which the orientationally averaged hyperpolarisability corresponds to in our experimental configuration (vertical input polarization and no analyser).
Optical considerations for a correct HRS measurement
Influence of the NC size, concentration and possible aggregation state
Size characterization of NCs is of paramount importance for the correct determination of SH efficiencies. As previously described, the averaged nonlinear optical coefficient <d> is retrieved from and the mean NC volume. Combination of eq.1 with eq.2 shows a dependence of HRS intensity with the squared NCs volume , emphasizing the requirement of a precise size characterization. In addition, assessment of the suspension concentration also relies on the NC size. As detailed hereafter, a mass concentration is indeed first measured and the unit particle concentration then estimated according to the NC volume.
Other critical issues complicating the interpretation of DLS results are related to the nanoparticles shape and the presence of aggregates. DLS indeed detects the hydrodynamic volume of objects and uses spherical models making the size characterization less relevant for non-spherical particles. Complementary observations of NCs by electron microscopy may help to obtain more information about the NC shape polydispersity. In particular, the discrimination between eventual aggregates and large individual NCs is not possible with DLS. As an exemplary result, ageing of the initial water-based solutions may result in a slow aggregation if electro-steric repulsions are too weak after the initial preparation of NC suspensions. From our experience, the long term stability of water-dispersed NCs is particularly difficult to achieve with BaTiO3, ZnO and KTP NCs and the use of ethanol as a solvent is generally preferred.
Finally, accuracy of concentration measurements should also be clarified. In our experience, the weighting method used to determine the mass concentration is satisfactory provided that the evaporated volume is sufficient. Typically, a 30 mL suspension is evaporated in several successive steps in light containers of 7 g. The resulting relative uncertainties in the mass concentration are between 1 and 5%. , the unit particle concentration, is then calculated from the mass concentration with where is the material density and the mean NC volume. As individual NCs are monitored with the NTA analysis (for which the preparation of very diluted suspensions is a prerequisite), comparison between the two approaches is straightforward. Deviations by a factor of 1.5 were noticed in the best cases, which is acceptable considering the inherent size polydispersity that affects the accuracy of the weighing procedure.
Influence of the NC size distribution
Another point of interest is that the sizes used for derivation of the nonlinear optical parameters are actually the mean values of distributions. In other words, HRS intensity is considered as a nonlinear elastic scattering from exactly monodisperse samples. Because of the already mentioned size polydispersity, the HRS signal (that depends quadratically on Vnc) indicates that a mean value is not commensurate with the real scattered SH intensity. In order to evaluate the influence of the actual size distribution width, we have compared the HRS intensities of a virtual (or ideal) monodisperse suspension to an actual polydisperse one. To begin, we only take the volume into consideration. We also assume that both distributions of spherical NCs (with diameter D) have the same mean size, , but a non-zero standard deviation for the actual suspension. To that end, DLS distributions by number are fitted by using a normal probability density function (). Ratios of the HRS intensities between polydisperse and monodisperse samples can be then calculated as: . In the case of the LiNbO3 suspension A of Figure 3a, the calculated HRS intensity (with a 125 nm mean diameter and a 25 nm standard deviation) is for instance twice higher than a monodisperse suspension containing exclusively 125 nm NCs.
The statistical approach being introduced, our final aim is to evaluate the effect of the NC size distribution on the derived averaged nonlinear optical coefficient . Concentration (Nnc) and volume (Vnc) are thus to be considered. Combination of eq.1 with eq.2 allows to write . As discussed above for the concentration determination, is inversely proportional to the NC volume so that the effect of a size-dispersion on the calculated concentration can be obtained from . Taking into account the squared volume, the final effect of a size dispersion for spherical NCs with diameter D on the averaged coefficient can be expressed as:
Interestingly, the whole effect of the NC-size dispersion for the LiNbO3 A suspension is relatively weak. A factor of about 0.8 is indeed found between the "polydisperse" and the "monodisperse" averaged coefficient showing that is generally overestimated when the size distribution is ignored.
Finally and after consideration of the previous recommendations and precautions, our experimental results for the 6 different NC type are summarized in table 1. The mean NC size (Dm) is obtained from a DLS distribution by number whereas the effective hyperpolarizabilities are derived from eq.3. The averaged nonlinear optical coefficient calculated with monodisperse and polydisperse (when available) suspensions are then compared with the literature values of the different material. Note that literal expressions of (corresponding to our experimental polarization configuration) can be found in footnote of table 1. They have been calculated assuming Kleinman conditions and the symmetry class of each material [24, 44].
Among the different experimental optical parameters, let us remind that is characteristic of the NC SH efficiency. The effective hyperpolarizabilities indeed linearly depend on the NC volume whereas the averaged nonlinear optical coefficient is an intensive physical property of each material. This distinction is readily observed with the two ZnO samples that display similar coefficients confirming that the bulk contribution is predominant in the measured HRS signal. Consistently, large-size NCs (ZnO 90-200) have a higher hyperpolarizability than small NCs (ZnO 20). For KTP NCs, the highest measured effective hyperpolarizability of esu is to be related to the relative large NC volume and not to especially efficient intrinsic properties.
In addition, it can be noticed that the coefficients for the different materials are otherwise very similar (a few pm/V) and that the comparison with literature values obtained from bulk crystals is also very consistent. Such an agreement is in favour of the HRS technique as a quantitative characterization method and also confirms the absence of a significant surface contribution in the scattered SH intensity. On the other hand, if the apparent hierarchy between bulk properties of the different materials seems preserved, a systematic discrepancy can be noticed. Literature bulk crystal and experimental NCs coefficients indeed differ by a factor 2 to 3 and several explanations can be suggested. Our quantitative assessment is first based on the external reference method with pNA molecules for which various different nominal hyperpolarizabilities have been published. Similarly, the literature nonlinear optical coefficients differ for bulk materials. For the NCs, the possible presence of impurities and amorphous phases has not been evidenced through X-Ray diffraction (data not shown) but slight deviations from the chemical stoichiometry could also alter the SH properties. Finally, it is our opinion that this systematic shift most probably results from the inherent size- and shape-distributions together with the likely presence of aggregates that inevitably leads to an underestimation of the nonlinear optical coefficient . The likelihood of different ferroelectric domains in the investigated materials (except ZnO for which the experimental and literature are well consistent) also points out to the necessity to improve current strategies for producing NCs with accurate size, shape and composition.
Application of the HRS technique on NC suspensions allows to achieve a reliable assessment of the SH efficiencies of noncentrosymmetric nanomaterials in the context of their promising application for bio-imaging as nonlinear optical markers. Limitations and experimental caveats of the method have been thoroughly discussed, with special attention to the crucial size and concentration issues. Our conclusions emphasize the importance of the preparation of aggregate-free NC suspensions with ideally monodisperse samples in terms of size and shape. These recommendations should rapidly improve accuracy of these quantitative measurements. To date, we can however assert that the different investigated NCs all present very similar nonlinear optical coefficients and thus comparable SH efficiencies at a given NC size. A pertinent selection of a NC type for bio-imaging also weakly depends on the nonlinear optical properties. In the future, the reliable and scalable chemical synthesis of size- and shape-controlled NCs as well as their cytotoxicity and biocompatibility are the relevant parameters to consider.
This research has been conducted under the Interreg IV France-Suisse Naomi and European FP7 Namdiatream (NMP4-LA-2010-246479, http://www.namdiatream.eu) research projects. The authors are grateful to FEE for supplying BaTiO3 and KNbO3 NCs and to the SRSMC laboratory for supplying LiNbO3 NCs. We are also grateful to Patrick Hole at Nanosight Ltd. (UK) for the Nanoparticle Tracking Analysis.
This article has been published as part of Journal of Nanobiotechnology Volume 11 Supplement 1, 2013: Nanophysics for Health. The full contents of the supplement are available online at http://www.jnanobiotechnology.com/supplements/11/S1. Publication charges for this tutorial were funded by the CNRS School "Nanophysics for Health", 5 - 9 November 2012, Mittelwhir, France
- Resch-Genger U, Grabolle M, Cavaliere-jaricot S, Nitschke R, Nann T: Quantum dots versus organic dyes as fluorescent labels. Nature Methods. 2008, 5:Google Scholar
- Zipfel WR, Williams RM, Webb WW: Nonlinear magic: multiphoton microscopy in the biosciences. Nature biotechnology. 2003, 21: 1369-77. 10.1038/nbt899.View ArticleGoogle Scholar
- Larson DR, Zipfel WR, Williams RM, Clark SW, Bruchez MP, Wise FW, Webb WW: Water-Soluble Quantum Dots for Multiphoton Fluorescence Imaging in Vivo. Science. 2003, 300: 1434-1436. 10.1126/science.1083780.View ArticleGoogle Scholar
- Bonacina L, Mugnier Y, Courvoisier F, Le Dantec R, Extermann J, Lambert Y, Boutou V, Galez C, Wolf J-P: Polar Fe(IO3)3 nanocrystals as local probes for nonlinear microscopy. Applied Physics B. 2007, 87: 399-403. 10.1007/s00340-007-2612-z.View ArticleGoogle Scholar
- Brasselet S, Zyss J: Nano-crystals for quadratic nonlinear imaging: characterization and applications. Nanocrystals. Edited by: Masuda Y. 2010, 249-270.Google Scholar
- Dempsey WP, Fraser SE, Pantazis P: SHG nanoprobes: Advancing harmonic imaging in biology. BioEssays. 2012, 34: 351-360. 10.1002/bies.201100106.View ArticleGoogle Scholar
- Bonacina L: Nonlinear Nanomedecine: Harmonic Nanoparticles toward Targeted Diagnosis and Therapy. Molecular Pharmaceutics. 2012, 10: 783-792.View ArticleGoogle Scholar
- Kim E, Steinbrück A, Buscaglia MT, Buscaglia V, Pertsch T, Grange R: Second-Harmonic Generation of Single BaTiO3 Nanoparticles down to 22 nm Diameter. ACS Nano. 2013, 7: 5343-5349. 10.1021/nn401198g.View ArticleGoogle Scholar
- Mayer L, Slablab A, Geraldine D, Jacques V, Lepagnol-Bestel A-M, Perruchas S, Spinicelli P, Thomas A, Chauvat D, Simonneau M, Gacoin T, Roch J-F: Single KTP nanocrystals as second-harmonic generation biolabels in cortical neurons. Nanoscale. 2013Google Scholar
- Staedler D, Magouroux T, Hadji R, Joulaud C, Extermann J, Schwung S, Passemard S, Kasparian C, Clarke G, Gerrmann M, Dantec R Le, Mugnier Y, Rytz D, Ciepielewski D, Galez C, Gerber-Lemaire S, Juillerat-Jeanneret L, Bonacina L, Wolf JP: Harmonic Nanocrystals for Biolabeling: A Survey of Optical Properties and Biocompatibility. ACS Nano. 2012, 6: 2542-2549. 10.1021/nn204990n.View ArticleGoogle Scholar
- Kachynski A V, Kuzmin AN, Nyk M, Roy I, Prasad PN: Zinc Oxide Nanocrystals for Nonresonant Nonlinear Optical Microscopy in Biology and Medicine. The Journal of Physical Chemistry C. 2008, 112: 10721-10724.View ArticleGoogle Scholar
- Extermann J, Bonacina L, Cuña E, Kasparian C, Mugnier Y, Feurer T, Wolf J-P: Nanodoublers as deep imaging markers for multi-photon microscopy. Optics express. 2009, 17: 15342-9. 10.1364/OE.17.015342.View ArticleGoogle Scholar
- Grange R, Lanvin T, Hsieh C-L, Pu Y, Psaltis D: Imaging with second-harmonic radiation probes in living tissue. Biomedical Optics Express. 2011, 2: 2532-2539. 10.1364/BOE.2.002532.View ArticleGoogle Scholar
- König K, So PTC, Mantulin WW, Gratton E: Cellular response to near-infrared femtosecond laser pulses in two-photon microscopes. Optics Letters. 1997, 22: 135-136. 10.1364/OL.22.000135.View ArticleGoogle Scholar
- Ladj R, Bitar A, Eissa M, Mugnier Y, Dantec R Le, Fessi H, Elaissari A: Individual inorganic nanoparticles: preparation, functionalization and in vitro biomedical diagnostic applications. Journal of Materials Chemistry B. 2013, 1: 1381-1396. 10.1039/c2tb00301e.View ArticleGoogle Scholar
- Ciofani G, Ricotti L, Canale C, DAlessandro D, Berrettini S, Mazzolai B, Mattoli V: Effects of barium titanate nanoparticles on proliferation and differentiation of rat mesenchymal stem cells. Colloids and Surfaces B: Biointerfaces. 2013, 102: 312-320.View ArticleGoogle Scholar
- Xia T, Kovochich M, Liong M, Maedler L, Gilbert B, Shi H, Yeh JI, Zink JI, Nel AE: Comparison of the Mechanism of Toxicity of Zinc Oxide and Cerium Oxide Nanoparticles Based on Dissolution and Oxidative Stress Properties. ACS Nano. 2008, 2: 2121-2134. 10.1021/nn800511k.View ArticleGoogle Scholar
- Hsieh C-L, Grange R, Pu Y, Psaltis D: Bioconjugation of barium titanate nanocrystals with immunoglobulin G antibody for second harmonic radiation imaging probes. Biomaterials. 2010, 31: 2272-2277. 10.1016/j.biomaterials.2009.11.096.View ArticleGoogle Scholar
- Čulić-Viskota J, Dempsey WP, Fraser SE, Pantazis P: Surface functionalization of barium titanate SHG nanoprobes for in vivo imaging in zebrafish. Nature Protocols. 2012, 7: 1618-1633. 10.1038/nprot.2012.087.View ArticleGoogle Scholar
- McCarthy S, Davies G-L, Gun'ko Y: Preparation of multifunctional nanoparticles and their assemblies. Nature Protocols. 2012, 7: 1677-1693. 10.1038/nprot.2012.082.View ArticleGoogle Scholar
- Cyvin SJ, Rauch JE, Decius JC: Theory of Hyper-Raman Effects (Nonlinear Inelastic Light Scattering): Selection Rules and Depolarization Ratios for the Second-Order Polarizability. The Journal of Chemical Physics. 1965, 43: 4083-4095. 10.1063/1.1696646.View ArticleGoogle Scholar
- Terhune RW, Maker PD, Savage CM: Measurements of Nonlinear Light Scattering. Physical Review Letters. 1965, 14: 681-684. 10.1103/PhysRevLett.14.681.View ArticleGoogle Scholar
- Clays K, Persoons A: Hyper-Rayleigh Scattering in solution. Physical Review Letters. 1991, 66:Google Scholar
- Hendrickx E, Clays K, Persoons A: Hyper-Rayleigh Scattering in Isotropic Solution. Accounts of Chemical Research. 1998, 31: 675-683. 10.1021/ar960233o.View ArticleGoogle Scholar
- Yan ECY, Liu Y, Eisenthal KB: New Method for Determination of Surface Potential of Microscopic Particles by Second Harmonic Generation. The Journal of Physical Chemistry B. 1998, 102: 6331-6336.View ArticleGoogle Scholar
- Jacobsohn M, Barin U: Size-dependance of Second Harmonic Generation in CdSe Nanocrystal quantum Dots. The Journal of Physical Chemistry B. 2000, 104: 1-5.View ArticleGoogle Scholar
- Zhang Y, Wang X, Fu D, Cheng J, Shen Y, Liu J, Lu Z: Second-order optical nonlinearity study of CdS nanoparticles via Hyper-Rayleigh scattering. Journal of Physics and Chemistry of Solids. 2001, 62: 903-906. 10.1016/S0022-3697(00)00249-3.View ArticleGoogle Scholar
- Russier-Antoine I, Benichou E, Bachelier G, Jonin C, Brevet PF: Multipolar Contributions of the Second Harmonic Generation from Silver and Gold Nanoparticles. The Journal of Physical Chemistry C. 2007, 111: 9044-9048. 10.1021/jp0675025.View ArticleGoogle Scholar
- Rodriguez EV, De Araujo CB, Brito-Silva AM, Ivanenko VI, Lipovskii AA: Hyper-Rayleigh scattering from BaTiO3 and PbTiO3 nanocrystals. Chemical Physics Letters. 2009, 467: 335-338. 10.1016/j.cplett.2008.11.021.View ArticleGoogle Scholar
- Le Dantec R, Mugnier Y, Djanta G, Bonacina L, Extermann J, Badie L, Joulaud C, Gerrmann M, Rytz D, Wolf J, Galez C: Ensemble and Individual Characterization of the Nonlinear Optical Properties of ZnO and BaTiO3 Nanocrystals. The Journal of Physical Chemistry C. 2011, 115: 15140-15146. 10.1021/jp200579x.View ArticleGoogle Scholar
- Roke S, Gonella G: Nonlinear light scattering and spectroscopy of particles and droplets in liquids. Annual review of physical chemistry. 2012, 63: 353-378. 10.1146/annurev-physchem-032511-143748.View ArticleGoogle Scholar
- Kuzyk M, Dirk C: Characterization Techniques and Tabulations for Organic Non Linear Optical Materials. 1998, Dekker. New YorkGoogle Scholar
- Shaviv E, Banin U: Synergistic Effects on Second Harmonic Generation of Hybrid CdSe−Au Nanoparticles. ACS Nano. 2010, 4: 1529-1538. 10.1021/nn901778k.View ArticleGoogle Scholar
- Mugnier Y, Houf L, El-Kass M, Le Dantec R, Hadji R, Vincent B, Djanta G, Badie L, Joulaud C, Eschbach J, Rouxel D, Galez C: In Situ Crystallization and Growth Dynamics of Acentric Iron Iodate Nanocrystals in w/o Microemulsions Probed by Hyper-Rayleigh Scattering Measurements. The Journal of Physical Chemistry C. 2011, 115: 23-30. 10.1021/jp105638s.View ArticleGoogle Scholar
- Le Xuan L, Zhou C, Slablab A, Chauvat D, Tard C, Perruchas S, Gacoin T, Villeval P, Roch JF, Le XL: Photostable second-harmonic generation from a single KTiOPO4 nanocrystal for nonlinear microscopy. Small. 2008, 4: 1332-6. 10.1002/smll.200701093.View ArticleGoogle Scholar
- Aufray M, Menuel S, Fort Y, Eschbach J, Rouxel D, Vincent B: New Synthesis of Nanosized Niobium Oxides and Lithium Niobate Particles and Their Characterization by XPS Analysis. Journal of Nanoscience and Nanotechnology. 2009, 9: 4780-4785. 10.1166/jnn.2009.1087.View ArticleGoogle Scholar
- Nguyen VS, Rouxel D, Hadji R, Vincent B, Fort Y: Effect of ultrasonication and dispersion stability on the cluster size of alumina nanoscale particles in aqueous solutions. Ultrasonics Sonochemistry. 2011, 18: 382-388. 10.1016/j.ultsonch.2010.07.003.View ArticleGoogle Scholar
- Huyskens FL, Huyskens PL, Persoons AP: Solvent dependence of the first hyperpolarizability of p-nitroanilines: Differences between nonspecific dipole-dipole interactions and solute-solvent H-bonds. J Chem Phys. 1998, 108: 8161-10.1063/1.476171.View ArticleGoogle Scholar
- Joulaud C: Caractérisation par diffusion de second harmonique de nanocristaux pour l'imagerie biomédicale. PhD thesis. 2013, Université de GrenobleGoogle Scholar
- Houbrechts S, Clays K, Persoons A, Pikramenou Z, Lehn J-M: Hyper-Rayleigh scattering investigation of nitrobenzyl pyridine model compounds for optical modulation of the hyperpolarisability. Chemical Physics Letters. 1996, 258: 485-489. 10.1016/0009-2614(96)00676-8.View ArticleGoogle Scholar
- Carr B, Hole P, Malloy A, Nelson P, Smith J: Applications of nanoparticle tracking analysis in nanoparticle research-A mini-review. European Journal of Parenteral Sciences and Pharmaceutical Sciences. 2009, 14: 45-Google Scholar
- Basun SA, Cook G, Reshetnyak VY, Glushchenko A V, Evans DR: Dipole moment and spontaneous polarization of ferroelectric nanoparticles in a nonpolar fluid suspension. Phys Rev B. 2011, 84: 24105-View ArticleGoogle Scholar
- Evans DR, Basun SA, Cook G, Pinkevych IP, Reshetnyak VY: Electric field interactions and aggregation dynamics of ferroelectric nanoparticles in isotropic fluid suspensions. Phys Rev B. 2011, 84: 174111-View ArticleGoogle Scholar
- Brasselet S, Zyss J: Multipolar molecules and multipolar fields: probing and controlling the tensorial nature of nonlinear molecular media. Journal of Optical Society of America B. 1998, 15: 257-288. 10.1364/JOSAB.15.000257.View ArticleGoogle Scholar
- Nikogosyan D: Nonlinear Optical Crystals: a Complete Survey. New York. 2005Google Scholar
- Shoji I, Kondo T, Kitamoto A, Shirane M, Ito R: Absolute scale of second-order nonlinear-optical coefficients. Journal of the Optical Society of America B. 1997, 14: 2268-2294. 10.1364/JOSAB.14.002268.View ArticleGoogle Scholar
- Volk T, Wöhlecke M: Lithium Niobate: Defects, Photorefraction and Ferroelectric Switching. 2009, Springer Berlin HeidelbergGoogle Scholar
- Wang G, Wong GKL, Ketterson JB: Redetermination of Second-Order Susceptibility of Zinc Oxide Single Crystals. Applied optics. 2001, 40: 5436-5438. 10.1364/AO.40.005436.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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.