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12 results for “surface-enhanced Raman scattering”
Bolaform Surfactant-Induced Au Nanoparticle Assemblies for Reliable Solution-Based Surface-Enhanced Raman Scattering Detection
<p>Related publication: García-Lojo, D; Méndez-Merino, D; Pérez-Juste, I; Acuña, A; García-Río, L; Rodríguez-Patón, A; Pastoriza-Santos, I; Pérez-Juste, J. Bolaform surfactant-induced Au nanoparticle assemblies for reliable solution-based SERS detection. Adv.Mater. Technol. 2022, 2101726. <a href="https://doi.org/10.1002/admt.202101726">https://doi.org/10.1002/admt.202101726</a></p> <p> </p> <p> </p> <p>Abstract:</p> <p>Solution-based surface-enhanced Raman scattering (SERS) detection typically involves the aggregation of citrate-stabilized Au nanoparticles into colloidal assemblies. Although this sensing methodology offers excellent prospects for sensitivity, portability, and speed, it is still challenging to control the assembly process by a salting-out effect, which affects the reproducibility of the assemblies and, therefore, the reliability of the analysis. This work presents an alternative approach that uses a bolaform surfactant, B<sub>20</sub>, to induce the plasmonic assembly. The decrease of the surface charge and the bridging effect, both promoted by the adsorption of B<sub>20</sub>, are hypothesized as the key points governing the assembly. Furthermore, molecular dynamic simulations supported the bridging effect of the B<sub>20</sub> by showing the preferential bridging of surfactant monomers between two adjacent Au(111) slabs. The colloidal assemblies showed excellent SERS capabilities towards the rapid, on-site detection and quantification of beta-blockers and analgesic drugs in the nanomolar regime, with a portable Raman device. Interestingly, the application of state-of-the-art convolutional neural networks, such as ResNet, allows a 100% accuracy in classifying the concentration of different binary mixtures. Finally, the colloidal approach was successfully implemented in a millifluidic chip allowing the automation of the whole process, as well as improving the performance of the sensor in terms of speed, reliability, and reusability without affecting its sensitivity.</p>
Raw datasets and media accompanying the manuscript: Homogenous high enhancement surface-enhanced Raman scattering (SERS) substrates by simple hierarchical tuning of gold nanofoams
<p>Raw datasets and media accompanying the manuscript: Homogenous high enhancement surface-enhanced Raman scattering (SERS) substrates by simple hierarchical tuning of gold nanofoams</p>
Dataset for "Spectroscopic investigation of faeces with surface-enhanced Raman scattering: a case study with coeliac patients on gluten-free diet"
<p>This dataset contains all the spectra and OTU table data used in the paper "Spectroscopic investigation of faeces with surface-enhanced Raman scattering: a case study with coeliac patients on gluten-free diet", plus the R code to import the TXT (ASCII) files into a dataset, preprocess data, analzye data and generate the figures shown in the paper.</p> <p>Spectral data are available in 2 different format:</p> <p>- the original TXT files (as generated from the Raman instrument, 1 file = 1 spectrum)</p> <p>- as RData file (an hyperSpec object including metadata), directly to be opened in R</p> <p>The OTU table is available either as a single XLSX file or as a RData file to be opened in R.</p> <p>The R code used to generate the figures is available as a single file "Rcode.R".</p>
Dataset for Enantioselective molecular Detection by Surface-Enhanced Raman Scattering at Chiral Gold Helicoids on Grating Surface
<p>This is a dataset for a paper "Enantioselective molecular Detection by Surface-Enhanced Raman Scattering at Chiral Gold Helicoids on Grating Surface". All details about the data are included in the readme file.</p>
Detection of Silver Nanoparticles in Seawater Using Surface-Enhanced Raman Scattering
<p>Nanomaterials significantly contribute to the development of new solutions to improve consumer products properties. Silver nanoparticles (AgNPs) are one of the most used, and as human exposure to such NPs increases, there is a growing need for analytical methods to identify and quantify nanoparticles present in the environment. Here we designed a detection strategy for AgNPs in seawater using surface-enhanced Raman Scattering (SERS). Three commercial AgNPs coated with polyvinylpyrrolidone (PVP) were used to determine the relative impact of size (PVP-15nmAgNPs and PVP-100nmAgNPs) and aggregation degree (predefined Ag aggregates, PVP-50–80nmAgNPs) on the SERS-based detection method. The study of colloidal stability and dissolution of selected AgNPs into seawater was carried out by dynamic light scattering and UV-vis spectroscopy. We showed that PVP-15nmAgNPs and PVP-100nmAgNPs remained colloidally stable, while PVP-50–80nmAgNPs formed bigger aggregates. We demonstrated that the SERS-based method developed here have the capacity to detect and quantify single and aggregates of AgNPs in seawater. The size had almost no effect on the detection limit (2.15 ± 1.22 mg/L for PVP-15nmAgNPs vs. 1.51 ± 0.71 mg/L for PVP-100nmAgNPs), while aggregation caused an increase of 2.9-fold (6.08 ± 1.21 mg/L). Our results demonstrate the importance of understanding NPs transformation in seawater since this can influence the detection method performance.</p>
Gold nanochips with molecularly imprinted polymer coating for explosives sensing: Surface-enhanced Raman scattering approach
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Plasmonic Au@Ag@mSiO2 Nanorattles for In Situ Imaging of Bacterial Metabolism by Surface-Enhanced Raman Scattering Spectroscopy
<p>Related publication: De Marchi, S; García-Lojo, D; Bodelón, G; Pérez-Juste, J; Pastoriza-Santos, I. Plasmonic Au@Ag@mSiO<sub>2</sub> Nanorattles for In Situ Imaging of Bacterial Metabolism by Surface-Enhanced Raman Scattering Spectroscopy. <em>ACS Applied Materials & Interfaces</em> 2021. <a href="http://doi.org/10.1021/acsami.1c21812">DOI: 10.1021/acsami.1c21812</a>.</p> <p> </p> <p>Abstract:</p> <p>It is well known that microbial populations and their interactions are largely influenced by their secreted metabolites. Noninvasive and spatiotemporal monitoring and imaging of such extracellular metabolic byproducts can be correlated with biological phenotypes of interest and provide new insights into the structure and development of microbial communities. Herein, we report a surface-enhanced Raman scattering (SERS) hybrid substrate consisting of plasmonic Au@Ag@mSiO<sub>2</sub> nanorattles for optophysiological monitoring of extracellular metabolism in microbial populations. A key element of the SERS substrate is the mesoporous silica shell encapsulating single plasmonic nanoparticles, which furnishes colloidal stability and molecular sieving capabilities to the engineered nanostructures, thereby realizing robust, sensitive, and reliable measurements. The reported SERS-based approach may be used as a powerful tool for deciphering the role of extracellular metabolites and physicochemical factors in microbial community dynamics and interactions.</p>
Data from: Facile fabrication of microfluidic surface-enhanced raman scattering devices via lift-up lithography
We describe a facile and low-cost approach for flexible integration surface-enhanced Raman scattering (SERS) substrate in microfluidic chips. Briefly, a SERS substrate was fabricated by electrostatic assembly of gold nanoparticles, and shaped into designed patterns by the subsequent lift-up soft lithography. The SERS micropattern could be further integrated within microfluidic channels conveniently. The resulting microfluidic SERS chip allows one to ultrasensitively in-situ SERS monitor from the transparent glass window. With its advantages in simplicity, functionality, and cost-effectivity, this method can be readily expanded in optical microfluidic fabrication for biochemical applications.
Data from: Portable bacteria-capturing chip for direct surface-enhanced Raman scattering identification of urinary tract infection pathogens
Acute urinary tract infections (UTIs) are one of the most common nosocomial bacterial infections, which affect almost 50% of the population at least once in their lifetime. UTIs may lead to lethal consequences if they are left undiagnosed and untreated properly. Early, rapid and accurate uropathogens detection methods play a pivotal role in clinical process. In this work, a portable bacteria-grasping surface-enhanced Raman scattering (SERS) chip for identification of three species of uropathogens (E. coli CFT 073, P. aeruginosa PAO1, and P. mirabilis PRM1) directly from culture matrix was reported. The chip was firstly modified with a positively-charged NH3+ group, which enable itself grasp the negatively-charged bacterial cells through the electrostatic adsorption principle. After the bacterial cells were captured by the chip, concentrated Ag nanoparticles (NPs) were used to obtain their Raman fingerprint spectra with recognizable characteristic peaks and good reproducibility. With the help of chemometric method such as discriminant analysis (DA), the SERS based chip allows a rapid, successful identification of three species of UTI bacteria with a minimal bacterial concentration (105 cells/mL) required for clinical diagnostics. In addition, this chip could spot the bacterial SERS fingerprints information directly from LB culture medium and artificial urine without sample pre-treatment. The portable bacteria-grasping SERS based chip provides a possibility for fast and easy detection of uropathogens, and viability of future development in healthcare applications.
Preventing Memory Effects in Surface-Enhanced Raman Scattering Substrates by Polymer Coating and Laser-Activated Deprotection
<p>Related publication: Plou, J; Charconnet, M; García, I; Calvo, J; Liz-Marzán, LM. Preventing Memory Effects in Surface-Enhanced Raman Scattering Substrates by Polymer Coating and Laser-Activated Deprotection. <em>ACS Nano</em> 2021, <em>15</em>, 8984-8995. 10.1021/acsnano.1c01878</p>
Data from: Facile fabrication of microfluidic surface-enhanced raman scattering devices via lift-up lithography
Open the record for dataset details and reuse information.
Data from: Portable bacteria-capturing chip for direct surface-enhanced Raman scattering identification of urinary tract infection pathogens
Open the record for dataset details and reuse information.
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OpenNeuro
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