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The cosmetic industry endeavours to strengthen the greener and safer claims of processes to respond to the high demand from customers for natural and environmentally friendly products. High-frequency ultrasonication technology (HFUT) is a physical process enabling the stabilization of emulsions without requiring additional ingredients, such as emulsifying surfactants (ES) to be introduced into the formulations. In this study, key formulation characteristics of an emulsion synthesized by HFUT and a reference emulsion (RE) were compared, as well as the permeation kinetics of caffeine, used as a model active cosmetic ingredient, from both types of emulsions.The pH, droplet size and viscosity of emulsions prepared by the HFUT and the RE were determined and compared. The permeation of caffeine from the HFUT emulsion and the RE applied to the surface of reconstructed human epidermis (RHE) models was compared.The ES-free formulations prepared by HFUT displayed a nearly 2-fold lower average droplet size and over 3-fold greater viscosity, compared to the RE. Despite these differences, the absence of ES in the HFUT emulsion did not significantly alter the permeation kinetics of caffeine through RHE. The caffeine steady-state flux, lag time and permeability coefficients differed by 20%-30% only.This study demonstrates the potential of the HFUT to yield topical cosmetic products with lower requirements ingredients-wise, without losing efficacy, supporting the possible implementation of the technology in the cosmetic industry.l’industrie cosmétique œuvre à renforcer les revendications plus écologiques et plus sûres des processus pour répondre à la forte demande des clients de produits naturels et plus respectueux de l’environnement. La technologie d’ultrasons à haute fréquence (High-Frequency Ultrasonication Technology, HFUT) est un processus physique permettant de stabiliser les émulsions sans qu’il soit nécessaire d’ajouter des ingrédients supplémentaires, tels que des surfactants émulsifiants, aux formulations. Dans cette étude, les principales caractéristiques de formulation d’une émulsion synthétisée par HFUT et d’une émulsion de référence ont été comparées, ainsi que la cinétique de perméation de la caféine, utilisée comme ingrédient cosmétique actif modèle, dans les deux types d’émulsion. MÉTHODES: le pH, la taille des gouttelettes, et la viscosité de l’émulsion préparée par HFUT et de l’émulsion de référence ont été déterminés et comparés. La perméation de la caféine de l’émulsion HFUT et de l’émulsion de référence appliquées à la surface de modèles d’épiderme humain reconstruit a été comparée. RÉSULTATS: la formulation sans surfactants émulsifiants préparée par HFUT présentait une taille moyenne de gouttelettes presque 2 fois plus faible et une viscosité plus de 3 fois supérieure comparée à l’émulsion de référence. Malgré ces différences, l’absence de surfactants émulsifiants dans l’émulsion HFUT n’a pas significativement modifié la cinétique de perméation de la caféine dans l’épiderme humain reconstruit. Le flux à l’état d’équilibre de la caféine, le temps de latence et les coefficients de perméabilité différaient de 20 à 30 % uniquement.cette étude démontre le potentiel de la technologie HFUT à générer des produits cosmétiques topiques possédant des exigences plus faibles en termes d’ingrédients, sans perte d’efficacité, soutenant la mise en œuvre éventuelle de la technologie dans l’industrie cosmétique.

In this work, lipid-based nanoparticles (LBNP) were designed to combine tyrosine kinase inhibitor (TKI) Lapatinib (LAPA) with siRNA directed against apoptosis inhibitor protein Survivin (siSurvivin) in an injectable form. This nanosystem is based on lipid nanocapsules (LNCs) coated with a cationic polymeric shell composed of chitosan grafted through a transacylation reaction. The hydrophobic LAPA is solubilized in the inner oily core, while hydrophilic siRNA is associated electrostatically onto the nanocarrier’s surface. The co-loaded LBNP showed a narrow size distribution (polydispersity index (PDI) < 0.3), a size of 130 nm, and a slightly positive zeta potential (+21 mV). LAPA and siRNA were loaded in LBNP at a high rate of >90% (10.6 mM) and 100% (4.6 µM), respectively. The siRNA-LAPA_LBNP was readily uptaken by the human epidermal growth factor receptor 2 overexpressed (HER2+) breast cancer cell line SK-BR-3. Moreover, the cytotoxicity studies confirmed that the blank chitosan decorated LBNP is not toxic to the cells with the tested concentrations, which correspond to LAPA concentrations from 1 to 10 µM, at different incubation times up to 96 h. Furthermore, siCtrl.-LAPA_LBNP had a more cytotoxic effect than Lapatinib salt, while siSurvivin-LAPA_LBNP had a significant synergistic cytotoxic effect compared to siCtrl.-LAPA_LBNP. All these findings suggested that the developed modified LBNP could potentiate anti-Survivin siRNA and LAPA anti-cancer activity.

Attenuated total reflectance-infrared spectroscopy (ATR-IR) coupled with partial least squares regression (PLSR) was evaluated as a rapid, label free and cost-effective tool to quantify water content in extracts obtained from spirulina wet biomass using a glucose glycerol natural deep eutectic solvent (NADES). NADESs are green, renewable and biodegradable solvents with unique properties outcompeting existing organic solvents, for instance, for plant or biomass extraction. The properties of NADESs depend critically on their water concentration, and therefore, it is essential to develop methods to monitor it, to ensure optimal extraction efficiency and experimental repeatability to achieve a better standardization of extraction protocols. First, Karl Fischer titration was performed on a set of 20 NADES extracts in order to obtain reference water concentrations. Secondly, ATR-IR spectra were collected and subjected to datamining to construct PLSR predictive models. An

Confocal Raman microscopy (CRM) has become a versatile technique that can be applied routinely to monitor skin penetration of active molecules. In the present study, CRM coupled to multivariate analysis (namely PLSR—partial least squares regression) is used for the quantitative measurement of an active ingredient (AI) applied to isolated (ex vivo) human stratum corneum (SC), using systematically varied doses of resorcinol, as model compound, and the performance is quantified according to key figures of merit defined by regulatory bodies (ICH, FDA, and EMA). A methodology is thus demonstrated to establish the limit of detection (LOD), precision, accuracy, sensitivity (SEN), and selectivity (SEL) of the technique, and the performance according to these key figures of merit is compared to that of similar established methodologies, based on studies available in literature. First, principal components analysis (PCA) was used to examine the variability within the spectral data set collected. Second, ratios calculated from the area under the curve (AUC) of characteristic resorcinol and proteins/lipids bands (1400–1500 cm−1) were used to perform linear regression analysis of the Raman spectra. Third, cross-validated PLSR analysis was applied to perform quantitative analysis in the fingerprint region. The AUC results show clearly that the intensities of Raman features in the spectra collected are linearly correlated to resorcinol concentrations in the SC (R2 = 0.999) despite a heterogeneity in the distribution of the active molecule in the samples. The Root Mean Square Error of Cross-Validation (RMSECV) (0.017 mg resorcinol/mg SC), The Root Mean Square of Prediction (RMSEP) (0.015 mg resorcinol/mg SC), and R2 (0.971) demonstrate the reliability of the linear regression constructed, enabling accurate quantification of resorcinol. Furthermore, the results have enabled the determination, for the first time, of numerical criteria to estimate analytical performances of CRM, including LOD, precision using bias corrected mean square error prediction (BCMSEP), sensitivity, and selectivity, for quantification of the performance of the analytical technique. This is one step further towards demonstrating that Raman spectroscopy complies with international guidelines and to establishing the technique as a reference and approved tool for permeation studies.

MicroRNAs (miRs) belong to a family of short non-coding endogenous RNAs. Their over-expression correlates with various pathologies: for instance, miRNA-155 (miR-155) is over-expressed upon the development of breast cancers. However, the detection of miRs as disease biomarkers suffers from insufficient sensitivity. In the present study, we propose a protocol for a rapid and efficient generation of magnetic nanoprobes able to capture miR-155, with the aim of increasing its concentration. As a nanoprobe precursor, we first synthesized superparamagnetic iron oxide nanoparticles (SPIONs) coated with covalently attached polyethylene glycol carrying a free biotin terminus (PEG-bi). Using streptavidin-biotin interactions, the nanoprobes were formulated by functionalizing the surface of the nanoparticles with the miR sequence (CmiR) complementary to the target miR-155 (TmiR). The two-step formulation was optimized and validated using several analytical techniques, in particular with Size-Exclusion High Performance Liquid Chromatography (SE-HPLC). Finally, the proof of the nanoprobe affinity to TmiR was made by demonstrating the TmiR capture on model solutions, with the estimated ratio of 18 : 22 TmiR : CmiR per nanoprobe. The nanoprobes were confirmed to be stable after incubation in serum.

International audience; Natural deep eutectic solvents (NADES) are ionic solutions, of great interest for extraction from biomass, biocatalysis, and nanoparticle synthesis. They are easily synthesised and eco-friendly, have low volatility and high dissolution power, and are biodegradable. However, water content in NADES is a critical parameter, affecting their optimal use and extraction efficiency. Vibrational spectroscopic techniques are rapid, label-free, non-destructive, non-invasive, and cost-effective analytical tools that can probe the molecular composition of samples. A direct comparison between a previous study using attenuated total reflectance infrared (ATR-IR) spectroscopy for water quantification in NADES and the same investigation performed with Raman spectroscopy is presently reported. Three NADES systems, namely betaine-glycerol (BG), choline chloride-glycerol (CCG), and glucose-glycerol (GG), containing a range of water concentrations between 0% (w/w) and 40% (w/w), have been analysed with Raman spectroscopy coupled to partial least squares regression multivariate analysis. The values of root mean square error of cross-validation (RMSECV) obtained from analysis performed on the pre-processed spectra over the full spectral range (150–3750 cm−1) are respectively 0.2966% (w/w), 0.4703% (w/w), and 0.2351% (w/w) for BG, GG, and CCG. While the direct comparison to previous ATR-IR results shows essentially similar outcomes for BG, the RMSECV is 33.14% lower and 65.84% lower for CG and CCG. Furthermore, mean relative errors obtained with Raman spectroscopy, and calculated from a set of samples used as independent samples, were 1.452% (w/w), 1.175% (w/w), and 1.188% (w/w). Ultimately, Raman spectroscopy delivered performances for quantification of water in NADES with similar accuracy to ATR-IR. The present demonstration clearly highlights the potential of Raman spectroscopy to support the development of new analytical protocols in the field of green chemistry.

International audience; Analytical Quality Control (AQC) in centralised preparation units of oncology centers is a common procedure relying on the identification and quantification of the prepared chemotherapeutic solutions for safe intravenous administration to patients. Although the use of Raman spectroscopy for AQC has gained much interest, in most applications it remains coupled to a flow injection analyser (FIA) requiring withdrawal of the solution for analysis. In addition to current needs for more rapid and cost-effective analysis, the risk of exposure of clinical staff to the toxic molecules during daily handling is a serious concern to address. Raman spectroscopic analysis, for instance by Confocal Raman Microscopy (CRM), could enable direct analysis (non-invasive) for AQC directly in infusion bags. In this study, 3 anticancer drugs, methotrexate (MTX), 5-fluorouracil (5-FU) and gemcitabine (GEM) have been selected to highlight the potential of CRM for withdrawal free analysis. Solutions corresponding to the clinical range of each drug were prepared in 5% glucose and data was collected from infusion bags placed under the Raman microscope. Firstly, 100% discrimination has been obtained by Partial Least Squares Discriminant Analysis (PLS-DA) confirming that the identification of drugs can be performed. Secondly, using Partial Least Squares Regression (PLSR), quantitative analysis was performed with mean % error of predicted concentrations of respectively 3.31%, 5.54% and 8.60% for MTX, 5-FU and GEM. These results are in accordance with the 15% acceptance criteria used for the current clinical standard technique, FIA, and the Limits of Detection for all drugs were determined to be substantially lower than the administered range, thus highlighting the potential of confocal Raman spectroscopy for direct analysis of chemotherapeutic solutions.

International audience; Recently, active targeting using nanocarriers with biological ligands has emerged as a novel strategy for improving the delivery of therapeutic and/or imaging agents to tumor cells. The presence of active targeting moieties on the surface of nanomedicines has been shown to play an important role in enhancing their accumulation in tumoral cells and tissues versus healthy ones. This property not only helps to increase the therapeutic index but also to minimize possible side effects of the designed nanocarriers. Since the overexpression of epidermal growth factor receptors (EGFR) is a common occurrence linked to the progression of a broad variety of cancers, the potential application of anti-EGFR immunotherapy and EGFR-targeting ligands in active targeting nanomedicines is getting increasing attention. Henceforth, the EGFR-targeted nanomedicines were extensively studied in vitro and in vivo but exhibited both satisfactory and disappointing results, depending on used protocols. This review is designed to give an overview of a variety of EGFR-targeting ligands available for nanomedicines, how to conjugate them onto the surface of nanoparticles, and the main analytical methods to confirm this successful conjugation.

In a clinical setting, analytical quality control of the administration of chemotherapeutic preparations is required to ensure patient safety with respect to the dose and more importantly the correct anticancer drug. As such, analytical tools enabling both qualitative and quantitative verification of the composition of prepared solutions can greatly benefit the hospital workflow, reducing cost and ultimately ensuring optimum patient care and outcome. Raman and infrared spectroscopy are rapid and cost-effective techniques, delivering label free molecular characterisation of samples. A comparative study has been conducted using four commercial intravenous formulations, DOXORUBICINE TEVA®, CERUBIDINE®, HOLOXAN® and METHOTREXATE MYLAN®, respectively containing doxorubicin, daunorubicin, ifosfamide and methotrexate as active drugs. Using clinically relevant concentration ranges prepared in 0.9 % NaCl or 5% glucose solutions, it is demonstrated that 100 % discrimination can be achieved for all formulations using either Raman or IR spectroscopic techniques, combined with multivariate discriminant analysis. Employing a partial least square regression analysis, Raman spectroscopy performed on liquid samples delivers a better accuracy compared to infrared for quantification, based on the mean squared error of cross validation. However, it is demonstrated that, despite the strong contribution of glucose and mannitol, an excipient found in CERUBIDINE®, infrared spectroscopy remains an equally viable option for translation into clinics.

International audience; This work relies on the use of dip-coating at various withdrawal speeds to form nanocomposite films, with a detailed analysis of the influence of the mode of deposition on the nanoparticle (NP) concentration in the dried film. While the deposition of polymer solutions on the one hand and colloidal suspensions of NPs on the other hand have been separately studied by dip coating, their combination is far being a simple superposition of the two separate behaviors. The formation of nanocomposite thin films composed of model water-soluble biocompatible polymers (polyvinyl alcohol - PVA and polyvinylpyrrolidone - PVP) loaded with poly(lactic-co-glycolic acid) (PLGA) nanoparticles (NPs) was studied through a dip coating process. Flat silicon substrates were removed at a controlled withdrawal speed from an aqueous colloidal suspension. Thin films of PLGA NPs with concentrations ranging from 1 to 10 % wt./wt. in PVA or PVP matrices were prepared. The presence of nanoparticles on the well-established process of thin film deposition was examined, as well as the influence of the deposition regime on the nanoparticle concentration in the deposited coating. We demonstrate that the presence of colloidal dispersion of PLGA nanoparticles in water solution of PVA and PVP does not modify the process of film deposition by dip coating. A typical “V” shaped curve was observed, with two well-known deposition regimes: capillary and draining modes respectively obtained at low and high withdrawal speeds. Due to crystallization at low withdrawal speed (favored by slow evaporation of the solvent) it was not possible to identify individual PLGA nanoparticles by AFM in the case of the PVA matrice. Amorphous PVP nanocomposite films were successfully prepared by dip coating, and allowed us to identify individual PLGA nanoparticles with AFM. Because of the prevalence of an evaporation-driven phenomenon at low withdrawal speed, incorporation of NPs was observed over the whole range of withdrawal speeds, showing original behavior compared to recent studies relying on a pure Landau-Levich regime (i.e. non-evaporative systems). Our results indicate that the nanoparticles were not equally retrieved from the solution in the capillary and the draining regimes. This suggests that the balance between the viscous drag and the interfacial effects depends on the deposition mode and calls for a more detailed analysis of the physical processes involved in both regimes.

International audience; Confocal Raman mapping (CRM) is a powerful, label free, non‐destructive tool, enabling molecular characterization of human skin with applications in the dermo‐cosmetic field. Coupling CRM to multivariate analysis can be used to monitor the penetration and permeation of active cosmetic ingredients (ACI) after topical application. It is presently illustrated how multivariate curve resolution alternating least squares (MCR‐ALS) can be applied to detect and semi‐quantitatively describe the diffusion profile of Delipidol, a commercially available slimming ACI, from Raman spectral maps. Although the analysis outcome can be critically dependent on the a priori selection of the number of regression components, it is demonstrated that profiling of the kinetics of diffusion into the skin can be established with or without additionnal spectral equality constraints in the multivariate analysis, with similar results. Ultimately, MCR‐ALS, applied without spectral equality contraints, specifically identifies the ACI as one of main spectral components enabling to investigate its distribution and penetration into the stratum corneum and underlying epidermis layers.

The development and characterization of reconstructed human epidermis (RHE) is an active area of R&amp, D. RHE can replace animal tissues in pharmaceutical, toxicological and cosmetic sciences, yielding scientific and ethical advantages. RHEs remain costly, however, due to consumables and time required for their culture and a short shelf-life. Storing, i.e., freezing RHE could help reduce costs but to date, little is known on the effects of freezing on the barrier function of RHE. We studied such effects using commercial EpiSkin&trade, RHE stored at &minus, 20, &minus, 80 and &minus, 150 &deg, C for 1 and 10 weeks. We acquired intrinsic Raman spectra in the stratum corneum (SC) of the RHEs as well as spectra obtained following topical application of resorcinol in an aqueous solution. In parallel, we quantified the effects of freezing on the permeation kinetics of resorcinol from time-dependent permeation experiments. Principal component analyses discriminated the intrinsic SC spectra and the spectra of resorcinol-containing RHEs, in each case on the basis of the freezing conditions. Permeation of resorcinol through the frozen RHE increased 3- to 6-fold compared to fresh RHE, with the strongest effect obtained from freezing at &minus, 20 &deg, C for 10 weeks. Due to the extensive optimization and standardization of EpiSkin&trade, RHE, the effects observed in our work may be expected to be more pronounced with other RHEs.

International audience; The use of Raman spectroscopy for analytical quality control of anticancer drug preparations in clinical pharmaceutical dispensing units is increasing in popularity, notably supported by commercially available, purpose designed instruments. Although not legislatively compulsory, analytical methods are frequently used post-preparation to verify the accuracy of a preparation in terms of identity and quantity of the drug in solution. However, while the rapid, cost effective and label free analysis achieved with Raman spectroscopy is appealing, it is important to understand the molecular origin of the spectral contributions collected from the solution of actives and excipients, to evaluate the strength and limitation for the technique, which can be used to identify and quantify either the prescribed commercial formulation, and/or the active drug itself, in personalised solutions. In the current study, four commercial formulations, Erbitux®, Truxima®, Ontruzant® and Avastin® of monoclonal antibodies (mAbs), corresponding respectively to cetuximab, rituximab, trastuzumab and bevacizumab have been used to highlight the key role of excipients in discrimination and quantification of the formulations. It is demonstrated that protein based anticancer drugs such as mAbs have a relatively weak Raman response, while excipients such as glycine, trehalose or histidine contribute significantly to the spectra. Multivariate analysis (partial least square regression and partial least square discriminant analysis) further demonstrates that the signatures of the mAbs themselves are not prominent in mathematical models and that those of the excipients are solely responsible for the differentiation of formulation and accurate determination of concentrations. While Raman spectroscopy can successfully validate the conformity of mAbs intravenous infusion solutions, the basis for the analysis should be considered, and special caution should be given to excipient compositions in commercial formulations to ensure reliability and reproducibility of the analysis.

Natural Deep Eutectic solvents (NADES) are green, ionic solutions prepared by mixing vegetal cellular constituents. They are renewable and biodegradable solvents composed of hydrogen bonded donor and acceptor compounds. NADES have a wide range of applications, mainly as solvents for extraction of plants, biocatalysis, and nanoparticle synthesis. Water content is very critical, impacting significantly on NADES properties. Therefore, controlling H2O concentration appears essential for optimal use of NADES. In the present study, Attenuated Total Reflectance – infrared spectroscopy (ATR-IR) coupled to multivariate analysis, namely Partial Least Square s regression (PLSR), was investigated as a rapid, label free and cost-effective tool for measuring the water concentration of NADES. Betaine_Glycerol (BG), Choline Chloride_Glycerol (CCG) and Glucose_Glycerol (GG) were the selected model systems, each over a range of concentrations between 0% (w/w) and 40% (w/w). PLSR results demonstrate the robustness of the analysis, yielding R2 values of 0.99 and Root Mean Square Error of Cross Validation (RMSECV) of respectively 0.2602% w/w, 0.6883% w/w and 0.7034% w/w. Moreover, the % relative error achieved is below a 5% threshold, further highlighting the suitability of ATR-IR for water content monitoring. This preliminary work demonstrates the appropriateness of developing easily accessible analytical tools to support the development of green chemistry solvents, which currently represent a major focus of interest in both research and industrial environments.

Cosmetic films and patches are interesting forms to promote skin penetration of active ingredients as they ensure their long stay on the treated zone of the skin. Nevertheless, currently developed films and patches are most of all hydrophilic and are not adapted to the hydrophobic molecules. The aim of this study was to establish whether nanodispersion of fatty acid-based active cosmetic ingredients (ACI) could be a manner to introduce high concentrations of those ACI in hydrophilic films.Punica granatum seed oil hydroxyphenethyl esters (PHE) constitute a commercialized lipolytic cosmetic ingredient obtained by enzymatic conjugation of tyrosol to long-chain fatty acids and to enhance its skin diffusion. Nanodispersions of PHE were prepared by a green emulsion-solvent evaporation process and dispersed in polyvinyl alcohol films. Raman imaging coupled to multivariate analysis was used to study the distribution of PHE in the films.Nanodispersions of PHE combined with antioxidant vitamin E and stabilized by Pluronic® F127 were successfully prepared. The nanodispersions show a spherical shape and a hydrodynamic diameter close to 100 nm. Raman images analysis with multivariate approaches showed a very homogeneous distribution of PHE nanodispersions in the films compared to free PHE introduced as an ethanol solution.Nanodispersions of hydrophobic fatty acid-based ingredients seem to be relevant method to introduce this type of ingredient in hydrophilic film matrix. The co-suspension with vitamin E limits their degradation in time.Les films et patchs cosmétiques sont des formes intéressantes pour augmenter la pénétration cutanée des actifs cosmétiques car ils assurent une exposition prolongée de la zone de peau traitée ce qui favorise la diffusion. Néanmoins, les films et patchs actuellement développés sont majoritairement de nature hydrophile et ne sont pas adaptés aux molécules hydrophobes. Le but de cette étude est d'établir si la nanodispersion d'actifs cosmétiques à base d'acides gras peut être un moyen d'introduire des concentrations élevées de ces actifs dans des films hydrophiles. MÉTHODES: Les esters hydroxyphénéthyliques de l'huile de graines de grenade Punica granatum (PHE) sont commercialisés comme un agent lipolytique. Cet actif obtenu par conjugaison enzymatique du tyrosol à des acides gras à longue chaîne ce qui favorise sa pénétration cutanée. Des nanodispersions de PHE ont été préparées par un procédé d'émulsion- évaporation développé avec un solvant vert. Ces nanosystèmes sont ensuite dispersées dans des films d'alcool polyvinylique. L'imagerie Raman couplée à une méthode d’analyse statistique multivariée a été utilisée pour étudier la distribution des PHE dans les films. RÉSULTATS: Des nanodispersions de PHE associées à de la vitamine E antioxydante et stabilisées par Pluronic® F127 ont été préparées avec succès. Les nanodispersions présentent une forme sphérique et un diamètre hydrodynamique proche de 100 nm. L'analyse d'images Raman au moyen d’une approche multivariée a montré une distribution très homogène des nanodispersions dans les films par rapport aux PHE libres introduits sous forme de solution éthanolique.Les nanodispersions d'ingrédients hydrophobes à base d'acides gras semblent être une méthode pertinente pour introduire ce type d'ingrédient dans la matrice de film hydrophile. L'introduction de vitamine E dans les nanodispersion ralentit leur dégradation.

International audience; Attenuated total reflectance-infrared (ATR-IR) spectroscopy is a robust tool for molecular characterisation of matter. Applied to semi-solid formulations, it enables rapid and reliable data collection without pre-analytical requirements. Based on nano-encapsulated Omegalight®, a skin-lightening active cosmetic ingredient (ACI), incorporated in a hydrogel, it is first demonstrated that, despite the high water content and the chemical complexity of the samples (i.e. number of ingredients), the spectral features of the ACI can be detected and monitored. Secondly, with a total of 105 samples divided into a training set (n = 60) and an unknown set (n = 45) covering a 0.5% w/w-5% w/w concentration range, the study further investigates the quantitative performance of ATR-IR coupled with partial least squares regression (PLSR). Through a step-by-step approach in testing different cross-validation protocols, accuracy (root mean square error of cross-validation (RMSECV)) and linearity between the experimental and predicted concentrations (R2) of ATR-IR are consistently evaluated to be respectively 0.097% (w/w) and 0.995 with a lower LOD = 0.067% (w/w). Subsequently, further evaluation of the accuracy (relative error of the predicted concentration compared with the true value, expressed as %) of the analysis was undertaken with the 45 unknown samples that were defined as unknown and analysed by PLSR. The outcome of the analysis demonstrates the ruggedness and the consistency of the determination performed using the ATR-IR data. With an average relative error of 2.5% w/w and only 5 samples out of 45 blind samples exhibiting a relative error above the 5% threshold, high accuracy quantification of the nano-encapsulated ACI can be unambiguously achieved by means of the label-free and non-destructive technique of ATR-IR spectroscopy. Ultimately, the study demonstrates that the analytical capabilities of ATR-IR hold significant potential for applications in the cosmetics industry, and although the path remains long, the present study is one step further to support validation of the technique, albeit for the specific case of Omegalight®.

International audience; Changes in protein concentrations within human blood are used as an indicator for nutritional state, hydration and underlying illnesses. They are often measured at regular clinical appointments and the current analytical process can result in long waiting times for results and the need for return patient visits. Attenuated total reflectance – Fourier transform infrared (ATR-FTIR) spectroscopy has the ability to detect minor molecular differences, qualitatively and quantitatively, in biofluid samples, without extensive sample preparation. ATR-FTIR can return an analytical measurement almost instantaneously and therefore could be deemed as an ideal technique for monitoring molecular alterations in blood within the clinic.To determine the suitability of using ATR-FTIR spectroscopy to enable protein quantification in a clinical setting, pooled human serum samples spiked with varying concentrations of human serum albumin (HSA) and immunoglobulin G (IgG) were analysed, before analysing patient clinical samples. Using a validated partial least squares method, the spiked samples (IgG) produced a linearity as high as 0.998 and a RMSEV of 0.49 ± 0.05 mg mL−1, with the patient samples producing R2 values of 0.992 and a corresponding RMSEV of 0.66 ± 0.05 mg mL−1. This claim was validated using two blind testing models, leave one patient out cross validation and k-fold cross validation, achieving optimum linearity and RMSEV values of 0.934 and 1.99 ± 0.79 mg mL−1, respectively.This demonstrates that ATR-FTIR is able to quantify protein within clinically relevant complex matrices and concentrations, such as serum samples, rapidly and with simple sample preparation. The ability to provide a quantification step, along with rapid disease classification, from a spectroscopic signature will aid clinical translation of vibrational spectroscopy to assist with problems currently faced with patient diagnostic pathways.

International audience; Biocompatible multifunctional nanomedicines (NMs) are known to be an attractive platform for targeted anticancer theranosis. However, these nanomedicines are of interest only if they efficiently target diseased cells and accumulate in tumors. Here we report the synthesis of a new generation of immunotargeted nanomedicines composed of a superparamagnetic iron oxide nanoparticle (SPION) core, polyethylene glycol coating and the anti-HER2 single chain fragment variable (scFv) of Trastuzumab antibody. We developed two novel bioengineered scFv carrying two cysteines located (i) at the end (4D5.1-cys2) or (ii) at the beginning (4D5.2-cys2) of its hexahistidine tag. The scFv bioconjugation was controlled via heterobifunctional linkers including a second generation maleimide (SGM). Our data indicated that the insertion of cysteines at the beginning of the hexahistidine tag was allowed to obtain nearly 2-fold conjugation efficiency (13 scFv/NP) compared to NMs using classical maleimide. As a result, the NMs-4D5.2 built using the optimal 4D5-cys2 and linkers equipped with SGM showed the enhanced recognition of HER2 in an ELISA format and on the surface of SK-BR-3 breast cancer cells in vitro. Their stability in serum was also significantly improved compared to the NMs-4D5. Our results showed the fundamental importance of the controlled ligand conjugation in the perspective of rational design of NMs with tailored physicochemical and biological properties.

Gene therapy and particularly small interfering RNA (siRNA) is a promising therapeutic method for treatment of various human diseases, especially cancer. However the lack of an ideal delivery system limits its clinical applications. Effective anticancer drug development represents the key for translation of research advances into medicines. Previously we reported, the optimization of magnetic siRNA nanovectors (MSN) formulation based on superparamagnetic iron oxide nanoparticles (SPION) and chitosan for systemic administration. This work aimed at using rational design to further optimize and develop MSN. Therefore, formulated MSN were first purified, then their physical and chemical properties were studied mainly through capillary electrophoresis. 95% of siRNA was found enclosed within the purified MSN (pMSN). pMSN showed colloidal stability at pH 7.4, effective protection of siRNA against ribonuclease degradation up to 24 hours and few siRNA release (less than 10%) at pH 7.4. These findings push toward further evaluation studies in vitro and/or in vivo, indicating the appropriateness of pMSN for cancer theranostics.

Core-shell nanocarriers are increasingly being adapted in cosmetic and dermatological fields, aiming to provide an increased penetration of the active pharmaceutical or cosmetic ingredients (API and ACI) through the skin. In the final form, the nanocarriers (NC) are usually prepared in hydrogels, conferring desired viscous properties for topical application. Combined with the high chemical complexity of the encapsulating system itself, involving numerous ingredients to form a stable core and quantifying the NC and/or the encapsulated active without labor-intensive and destructive methods remains challenging. In this respect, the specific molecular fingerprint obtained from vibrational spectroscopy analysis could unambiguously overcome current obstacles in the development of fast and cost-effective quality control tools for NC-based products. The present study demonstrates the feasibility to deliver accurate quantification of the concentrations of curcumin (ACI)-loaded alginate nanocarriers in hydrogel matrices, coupling partial least square regression (PLSR) to infrared (IR) absorption and Raman spectroscopic analyses. With respective root mean square errors of 0.1469 ± 0.0175% w/w and 0.4462 ± 0.0631% w/w, both approaches offer acceptable precision. Further investigation of the PLSR results allowed to highlight the different selectivity of each approach, indicating only IR analysis delivers direct monitoring of the NC through the quantification of the Labrafac®, the main NC ingredient. Raman analyses are rather dominated by the contribution of the ACI which opens numerous perspectives to quantify the active molecules without interferences from the complex core-shell encapsulating systems thus positioning the technique as a powerful analytical tool for industrial screening of cosmetic and pharmaceutical products. Graphical abstract Quantitative analysis of encapuslated active molecules in hydrogel-based samples by means of infrared and Raman spectroscopy.

Section spéciale du Meeting SFNano 2018 : Nanomedicine- from particle design to applications (2018/12/03_2018/12/05, Montpellier, FRA), edited by Nathalie Mignet, Chantal Pichon et Marie-Pierre Rols; International audience; The association between superparamagnetic iron oxide nanoparticles (SPION), carrying small interfering RNA (siRNA) as therapeutic agents and humanized anti- human epidermal growth factor receptor-2 (HER2) single-chain antibody fragments (scFv) for the active delivery into HER2-overexpressing cells appears as an interesting approach for patients with HER2-overexpressing advanced breast cancer. The obtained Targeted Stealth Magnetic siRNA Nanovectors (TS-MSN) are formulated by combining: (i) the synthesis protocol of Targeted Stealth Fluorescent Particles (T-SFP) which form the core of TS-MSN and (ii) the formulation protocol allowing the loading of T-SFP with polyplexes (siRNA and cationic polymers). TS-MSN have suitable physico-chemical characteristics for intravenous administration and protect siRNA against enzymatic degradation up to 24 h. The presence of HER2-targeting scFv on TS-MSN allowed an improved internalization (3-4 times more compared to untargeted S-MSN) in HER2-overexpressing breast cancer cells (BT-474). Furthermore, anti-survivin siRNA delivered by TS-MSN in HER2-negative breast-cancer control cells (MDA-MB-231) allowed significant down-regulation of the targeted anti-apoptotic protein of about 70%. This protein down-regulation increased in HER2 + cells to about 90% (compared to 70% with S-MSN in both cell lines) indicating the contribution of the HER2-active targeting. In conclusion, TS-MSN are promising nanocarriers for the specific and efficient delivery of siRNA to HER2-overexpressing breast cancer cells.

International audience; The application of small interfering RNA (siRNA) cancer therapeutics is limited by several extra- and intracellular barriers including the presence of ribonucleases that degrade siRNA, the premature clearance, the impermeability of the cell membrane, or the difficulty to escape endo-lysosomal degradation. Therefore, several delivery systems have emerged to overcome these limitations and to successfully deliver siRNA to the tumor site. This review is focused on polymer-based siRNA nanovectors which exploit the negative charge of siRNA, representing a major challenge for siRNA delivery, to their advantage by loading siRNA via electrostatic assembly. These nanovectors are easy to prepare and to adapt for an optimal gene silencing efficiency. The ability of electrostatically assembled polymeric siRNA nanovectors (EPSN) to improve the half-life of siRNA, to favor the specificity of the delivery and the accumulation in tumor and to enhance the cellular uptake and endosomal escape for an efficient siRNA delivery will be discussed. Finally, the influence of the versatility of the structure of these nanovectors on the protein down-regulation will be evaluated.

International audience; A methodology is proposed, based on Raman spectroscopy coupled with multivariate analysis, to determine the Limit of Detection (LOD) and Limit of Quantification (LOQ) for therapeutic drug monitoring in human serum, using the examples of Busulfan, a cell cycle non-specific alkylating antineoplastic agent, and, Methotrexate, a chemotherapeutic agent and immune system suppressant. In this study, ultrafiltration is employed to fractionate spiked human pooled serum to efficiently recover the drug in the filtrate prior to performing Raman analysis. The drug concentration ranges were chosen to encompass the recommended therapeutic ranges and toxic levels in patients. Raman spectra were collected from the filtrates in the liquid form, using an inverted backscattering microscopic geometry, using 532 nm as source. Finally, prediction models were built by using Partial Least Squares Regression (PLSR) and LOD and LOQ were calculated directly from the linear prediction models. The LOD calculated for Busulfan is 0.0002 ± 0.0001 mg mL−1, 30–40 times lower than the level of toxicity, enabling the application of this method in target dose adjustment of Busulfan for patients undergoing, for example, bone marrow transplantation. The LOD and LOQ calculated for Methotrexate are 7.8 ± 5 μM and 26 ± 5 μM, respectively, potentially enabling high dose monitoring. The promising results obtained from this study suggest the potential of Raman spectroscopy for therapeutic drug monitoring of drugs in bodily fluids.

International audience; This study explores the suitability of Raman spectroscopy as a bioanalytical tool, when coupled with ultra-filtration and multivariate analysis, to detect imbalances in both high molecular weight (total protein content, γ globulins and albumin) and low molecular weight (urea and glucose) fractions of the same samples of human patient serum, in the native liquid form. Ultracentrifugation was employed to separate and concentrate the high and low molecular weight fractions of the serum. Initially, aqueous solutions of the respective molecular species, covering physiologically relevant concentration ranges, were analysed to optimise the measurement protocols. An adapted Extended Multiplicative Signal Correction (EMSC) algorithm was applied to raw spectra to remove water background signal and spectral interferents (β-carotene). Using a validated partial least squares regression modelling method, R2 values, Root Mean Square Error of Cross Validation (RMSECV) and standard deviations were established for the quantification of γ globulin, total protein, albumin, urea and glucose content of the patient serum samples. The study demonstrates that Raman spectroscopy in the liquid form is a viable alternative and/or adjunct to current clinical practice for the parallel analysis of high and low molecular weight fractions, and simultaneous analysis of multiple analytes in the low molecular weight fraction, of human serum for diagnostic applications.

Malignant melanoma is an aggressive tumor, associated with the presence of local and/or distant metastases. The development of gene therapy by the use of small interfering RNA (siRNA) represents a promising new treatment. However, the protection of this biomolecule is necessary in order for it to be intravenously administrated, for example

International audience; Analysis of biomarkers present in the blood stream can potentially deliver crucial information on patient health and indicate the presence of numerous pathologies. The potential of vibrational spectroscopic analysis of human serum for diagnostic purposes has been widely investigated and, in recent times, infrared absorption spectroscopy, coupled with ultra-filtration and multivariate analysis techniques, has attracted increasing attention, both clinical and commercial. However, such methods commonly employ a drying step, which may hinder the clinical work flow and thus hamper their clinical deployment. As an alternative, this study explores the use of Raman spectroscopy, similarly coupled with ultra-filtration and multivariate analysis techniques, to quantitatively monitor diagnostically relevant changes of glucose in liquid serum samples, and compares the results with similar analysis protocols using infrared spectroscopy of dried samples. The analysis protocols to detect the imbalances in glucose using Raman spectroscopy are first demonstrated for aqueous solutions and spiked serum samples. As in the case of infrared absorption studies, centrifugal filtration is utilised to deplete abundant analytes and to reveal the spectral features of Low Molecular Weight Fraction analytes in order to improve spectral sensitivity and detection limits. Improved Root Mean Square Error of Cross Validation (RMSECV) was observed for Raman prediction models, whereas slightly higher R2 values were reported for infrared absorption prediction models. Summarising, it is demonstrated that the Raman analysis protocol can yield accuracies which are comparable with those reported using infrared absorption based measurements of dried serum, without the need for additional drying steps.

International audience; Healthcare-associated infections resulting from bacterial attachment and biofilm formation on medical implants are posing significant challenges in particular with the emergence of bacterial resistance to antibiotics. Here, we report the design, synthesis and characterization of self-assembled nanostructures, which integrate on their surface antibacterial peptides. The antibacterial WMR peptide, which is a modification of the native sequence of the myxinidin, a marine peptide isolated from the epidermal mucus of hagfish, was used considering its enhanced activity against Gram-negative bacteria. WMR was linked to a peptide segment of aliphatic residues (AAAAAAA) containing a lipidic tail (C19H38O2) attached to the ε-amino of a terminal lysine to generate a peptide amphiphile (WMR PA). The self-assembly of the WMR PA alone, or combined with coassembling shorter PAs, was studied using spectroscopy and microscopy techniques. The designed PAs were shown to self-assemble into stable nanofiber structures and these nanoassemblies significantly inhibit biofilm formation and eradicate the already formed biofilms of Pseudomonas aeruginosa (Gram-negative bacteria) and Candida albicans (pathogenic fungus) when compared to the native WMR peptide. Our results provide insights into the design of peptide based supramolecular assemblies with antibacterial activity, and establish an innovative strategy to develop self-assembled antimicrobial materials for biomedical applications.

International audience; The use of small interfering RNA (siRNA) to regulate oncogenes appears as a promising strategy in the context of cancer therapy, especially if they are vectorized by a smart delivery system. In this study, we investigated the cellular trafficking of a siRNA nanovector (called CS-MSN) functionalized with the cell-penetrating peptide gH625 in a triple-negative breast cancer model. With complementary techniques, we showed that siRNA nanovectors were internalized by both clathrin- and caveolae-mediated endocytosis. The presence of gH625 at the surface of the siRNA nanovector did not modify the entry pathway of CS-MSN, but it increased the amount of siRNA found inside the cells. Results suggested an escape of siRNA from endosomes, which is enhanced by the presence of the peptide gH625, whereas nanoparticles continued their trafficking into lysosomes. The efficiency of CS-MSN to inhibit the GFP in MDA-MB-231 cells was 1.7-fold higher than that of the nanovectors without gH625.

Despite scientific progress, cancer still remains a challenge and therapies on the market present severe adverse effects which restrict applications and do not guarantee efficient treatments. Chemotherapeutics generally are highly toxic compounds with adverse effects on health, such as risk of damage to normal tissues or incomplete eradication of the cancer[1]. Doxorubicin (Dox)[2]is one of the most widely used and its long term application may cause dose dependent irreversible cardiomyopathy, liver damage and severe toxicity. Peptide drugs, in addition to having low toxicity, high specificity and ease of synthesis and modification, have the ability to develop self-assembling structures holding great promise for the development of functional nanomaterials. Here, we report the design, synthesis and characterization of selfassembled nanostructures, which integrate on their surface Dox and a cell penetrating peptide (gH625). gH625 was linked to a peptide segment of aliphatic residues (AAAAAAA) containing a lipidic tail (C19H38O2) attached to the ε-amino of a terminal lysine to generate a peptide amphiphile (gH625 PA). Dox was linked to the same lipidic tail through a labile linker (Dox PA). The self-assembly of the gH625 PA, Dox PA alone, or combined with coassembling shorter PA, was studied using spectroscopy and microscopy techniques. The designed PAs were shown to self-assemble. Our results provide insights into the design of an innovative concept of dynamic nanoplatforms, able to modulate their properties on demand, can be injectable and may be adapted to different cancers and also against other diseases.