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A silver Toyota Sera and red Datsun 240Z parked in a garden next to a flowering cherry tree

A silver Toyota Sera and red Datsun 240Z parked in a garden next to a flowering cherry tree

Gratuitous JDM and flowering cherry tree photo #Sers #240Z

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Nanoparticles as SERS substrates: recent progress in hormone sensing

Nanoparticles as SERS substrates: recent progress in hormone sensing

An overview of #Nanoparticle-based #SERS substrates for ultra-sensitive hormone #Biosensing, highlighting how strategic surface functionalization facilitates high-precision analytical performance for clinical diagnostics.

#Nanotechnology Reviews #OpenAccess: doi.org/10.1515/ntre...

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Green synthesis of Ag@Cu and silver nanowire using Pterospermum heterophyllum extracts for surface-enhanced Raman scattering

Green synthesis of Ag@Cu and silver nanowire using Pterospermum heterophyllum extracts for surface-enhanced Raman scattering

This study reports #greensynthesis of Ag@Cu #nanoparticles & #AgNWs using Pterospermum heterophyllum extract, achieving optimal morphology & strong #SERS enhancement, showing #ecofriendly methods rival chemical routes for sensing.

Green Processing and Synthesis: doi.org/10.1515/gps-...

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SERS Substrate Fabrication via Rapid Triboelectrification‐Driven Self‐Assembly of Close‐Packed Colloidal Monolayers Triboelectrification-driven self-assembly of dry colloidal powder offers a promising dry approach to rapidly (<20$<20$ s) attain ordered monolayer colloidal particles for surface-enhanced Raman spect....

Our #OA article on #SERS substrates is online in #SmallMethods. These substrates are made using #tribocharged #colloidal #assembly of #ordered #monolayers. #sensing #particletechnology #contactelectrification #analyticalchemistry #granularcharging. Link: onlinelibrary.wiley.com/doi/10.1002/...

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Welcome to Issue 4! Please read the cover article:

Spatiotemporal identification of therapeutic markers 𝘷𝘪𝘢 dual-targeted #SERS bioprobes for assessing breast cancer progression by Xiaoxia Wu, Dong Xu, Aiguo Wu, Jie Lin 𝘦𝘵 𝘢𝘭.

#Free_to_read #BreastCancer #CancerDiagnostics
doi.org/10.1039/D5QM...

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#OEA_highlight Timeshare surface-enhanced Raman scattering platform with sensitive and quantitative mode doi.org/10.29026/oea... by Prof. #Qianqian_Ding #Shikuan_Yang #Ningtao_Cheng @ZJU_China #timeshare #SERS #sensing #hydrogel #gold #nanosphere

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Efficient concentration of trace analyte with ordered hotspot construction for a robust and sensitive SERS platform

Efficient concentration of trace analyte with ordered hotspot construction for a robust and sensitive SERS platform

Demonstrating a bilayer Ag/F-HA substrate—combining #FemtosecondLaser-processed microarmours for analyte concentration and AAO-templated hot spots—to achieve trace-level #SERS detection with high environmental robustness.

#IJEM #OpenAccess: doi.org/10.1088/2631...

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This #IJEM study demonstrates a groundbreaking tunable #Plasmonic platform design achieved through MAPLD to generate densely packed, ultrafine #Nanoparticles for #SERS #Sensors with high sensitivity & robust sensing capabilities.
#OpenAccess: doi.org/10.1088/2631...

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Abstract:  Surface-enhanced Raman scattering (SERS) spectroscopy represents a powerful analytical platform that combines non-destructive, label-free molecular identification with exceptional sensitivity for trace-level detection. Its capacity to generate information-rich spectral fingerprints makes SERS particularly advantageous for simultaneous multi-analyte analysis across diverse sample matrices, including complex biological systems. This study addresses the analytical challenges associated with identifying and quantifying multiple molecular species in complex environments by integrating SERS with advanced machine learning methodologies. We developed a hierarchical analytical framework that leverages the complementary strengths of deep learning and regression techniques: A multi-label convolutional neural network (CNN) for discriminating structurally similar analytes from SERS spectral data, coupled with a support vector regression (SVR) model for semi-quantitative determination of relative concentration ratios among identified species. The methodology was systematically validated using binary mixtures of short-chain fatty acids (SCFAs) as representative biomolecular targets, with performance rigorously benchmarked against established multivariate statistical methods and conventional machine learning approaches. Experimental validation demonstrated robust classification accuracy for both analytes at physiologically relevant concentrations, maintaining consistent performance across simple aqueous media and complex cell culture environments. These results establish the viability of the integrated SERS-CNN-SVR approach for advanced mixture analysis applications where precise identification and quantification of multiple biomarkers is essential.

Abstract: Surface-enhanced Raman scattering (SERS) spectroscopy represents a powerful analytical platform that combines non-destructive, label-free molecular identification with exceptional sensitivity for trace-level detection. Its capacity to generate information-rich spectral fingerprints makes SERS particularly advantageous for simultaneous multi-analyte analysis across diverse sample matrices, including complex biological systems. This study addresses the analytical challenges associated with identifying and quantifying multiple molecular species in complex environments by integrating SERS with advanced machine learning methodologies. We developed a hierarchical analytical framework that leverages the complementary strengths of deep learning and regression techniques: A multi-label convolutional neural network (CNN) for discriminating structurally similar analytes from SERS spectral data, coupled with a support vector regression (SVR) model for semi-quantitative determination of relative concentration ratios among identified species. The methodology was systematically validated using binary mixtures of short-chain fatty acids (SCFAs) as representative biomolecular targets, with performance rigorously benchmarked against established multivariate statistical methods and conventional machine learning approaches. Experimental validation demonstrated robust classification accuracy for both analytes at physiologically relevant concentrations, maintaining consistent performance across simple aqueous media and complex cell culture environments. These results establish the viability of the integrated SERS-CNN-SVR approach for advanced mixture analysis applications where precise identification and quantification of multiple biomarkers is essential.

New from Applied Spectroscopy!
Surface-Enhanced Raman Spectroscopy Semi-Quantitative Molecular Profiling with a Convolutional Neural Network
Read more: https://doi.org/10.1177/00037028251377474
#SAS #Spectroscopy #Raman #SERS #CNN #SVR

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Femtosecond laser-induced nanoparticle implantation into flexible substrate for sensitive and reusable microfluidics SERS detection

Femtosecond laser-induced nanoparticle implantation into flexible substrate for sensitive and reusable microfluidics SERS detection

This #IJEM study introduces a femtosecond laser-implanted Au-NPA #Microfluidic system, achieving high #SERS detection sensitivity and superior reusability for real-time monitoring of chemical and biological analytes.

#OpenAccess: doi.org/10.1088/2631...

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#OES_highlight Enrichment strategies in surface-enhanced Raman scattering: theoretical insights and optical design for enhanced light-matter interaction doi.org/10.29026/oes... by #Zhen_Li #Jing_Yu #Chao_Zhang #Shandong_Normal_University #SERS #Chemical #Physical #Macroscopic

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🚨 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭 🚨

💡SERSµDrop: A Platform to Study Cell–Cell Communication via SERS Imaging

📄 Small 

👉  https://doi.org/10.1002/smll.202508020

#SERS #IntercellularCommunication

@lizmarzan-lab.bsky.social

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Sensor-integrated food wrapper can facilitate real-time, non-destructive detection of nutritional components Food quality and safety are crucial. However, conventional food-monitoring methods, including ribotyping and polymerase chain reaction, tend to be destructive and lengthy. These shortcomings limit their potential for broad applications. In this regard, surface-enhanced Raman scattering (SERS) sensing, with real-time, non-destructive, and high sensitivity capabilities, is a highly promising alternative.

✨Can we *see* food safety? New tech uses light to scan & reveal hidden details—instantly & without harm!🔬 A revolution in food monitoring! #SERS 🤩

Source: phys.org/news/2025-11-sensor-food...

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New from @appliedspec.bsky.social!

Plasmonic Hybrid Heterostructure Based on Reduced #Graphene Oxide–Gold #Nanostars Composite for Sensitive Surface-Enhanced #Raman Spectroscopy #SERS Sensing

Full article here: https://loom.ly/RF1ZPDg

#SAS #spectroscopy

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🚨 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭 🚨

💡dECM-Supported Printing of Plasmonic Pillars for SERS Monitoring of Chemotherapy in 3D Tumor Models

📄 ACS Sensors 2025

👉https://doi.org/10.1021/acssensors.5c02344

#3Dtumours #SERS #TherapeuticScreening

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Reduction of Spectral Overlap in Spectral Surface-Enhanced #Raman Spectroscopy #SERS Imaging Using a Dove Prism #SAS #spectroscopy

Read the full article here: https://loom.ly/bfbaedg

@appliedspec.bsky.social

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Portable SERS test detects harmful bacteria in beef within minutes A breakthrough method combines silver nanoparticles and Raman spectroscopy for quick detection of foodborne pathogens in beef, improving safety standards.

Portable #SERS test detects harmful #bacteria in #beef within minutes ...

| #microbes | #food | #slaughterhouse | #supermarket | Via @newsmedical.bsky.social

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#OEA_highlight Coulomb attraction driven spontaneous molecule-hotspot pairing enables universal, fast, and large-scale uniform single-molecule Raman spectroscopy doi.org/10.29026/oea... by Prof. #Zhiyuan_Li @SCUT1918
#Raman #spectroscopy #SERS #near_infrared #laser #illumination

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#OEA_highlight Quantitative detection of trace nanoplastics (down to 50 nm) via surface-enhanced Raman scattering based on the multiplex-feature coffee ring doi.org/10.29026/oea... by Prof. #Chao_Zhang @ #Shandong_Normal_University #quantitative #nanoplastics #SERS #machine_learning

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🦠 Las infecciones bacterianas exigen detección rápida y accesible. 🔬 Este estudio propone una técnica SERS con nanoestructuras de oro y concanavalina A para identificar glicanos bacterianos. 📊 Señales Raman específicas permiten diferenciar especies. #SERS #nanotecnologia

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New to ‪appliedspec.bsky.social‬!

Gold #Nanorod Surface-Enhanced Raman Spectroscopy #SERS Substrate for l-DOPA Detection: Experimental and Theoretical Approaches

Read the full article here: https://loom.ly/4mx0yIc

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Eglise Saint-Vincent à #Sers (#HautesPyrénées) Petit édifice présentant les caractères du style roman, construit en pierre de moye...
Suite 👉 https://monumentum.fr/monument-historique/pa00095424/sers-eglise-saint-vincent

Eglise Saint-Vincent à #Sers (#HautesPyrénées) Petit édifice présentant les caractères du style roman, construit en pierre de moye... Suite 👉 https://monumentum.fr/monument-historique/pa00095424/sers-eglise-saint-vincent

Eglise Saint-Vincent à #Sers (#HautesPyrénées) Petit édifice présentant les caractères du style roman, construit en pierre de moye...
Suite 👉 monumentum.fr/monument-historique/pa00...

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We have also presented the power of bidimensional #spectroelectrochemistry to understand the generation of CuCl #SERS substrates

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🚨𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭 🚨

Wavelength-Dependent Differential Amplification of Raman Scattering by Chiral Gold Nanorods for Multiplexed Encoding.

📄 Journal: Advanced Functional Materials. 2025

🔗https://tinyurl.com/mr3tuvzn

#nanoparticles #AuNanorods #chiral #SERS

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Logis de Nanteuil à #Sers (#Charente) Le fief de Nanteuil relevait de l'évêché d'Angoulême. Quelques éléments attestent les origin...
Suite 👉 https://monumentum.fr/monument-historique/pa16000009/sers-logis-de-nanteuil

Logis de Nanteuil à #Sers (#Charente) Le fief de Nanteuil relevait de l'évêché d'Angoulême. Quelques éléments attestent les origin... Suite 👉 https://monumentum.fr/monument-historique/pa16000009/sers-logis-de-nanteuil

Logis de Nanteuil à #Sers (#Charente) Le fief de Nanteuil relevait de l'évêché d'Angoulême. Quelques éléments attestent les origin...
Suite 👉 monumentum.fr/monument-historique/pa16...

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The Role of Chloride in Raman Signal Enhancement by Electrochemical Silver Oxidation Revealed by Dark Field Microscopy Raman spectroscopy is a widely used technique in several contexts, including chemical analysis, materials characterization, and catalysis. However, to exploit the high capacities of this technique, signal enhancement is needed. For this purpose, several methodologies can be used, and those known as surface enhanced Raman scattering (SERS), or resonance Raman (RR) have been widely used. However, there are some new strategies, such as electrochemical surface oxidation enhanced Raman scattering (EC-SOERS), that require further understanding for optimum exploitation in diverse analytical contexts. In EC-SOERS, the enhancement of the Raman signal is observed during the electrochemical oxidation of silver in the presence of a precipitating agent, but only for specific concentrations of this agent. In this work, we use electrochemical dark-field microscopy (DFM) to explore and reveal the origin of this concentration dependency by monitoring the oxidative formation of EC-SOERS substrates in solutions of different chloride concentrations. These operando studies provide a complete picture of the processes taking place on the electrode surface and at the solution adjacent to it with a high time resolution, showing that the formation of the EC-SOERS substrate requires sufficient Cl– to generate AgCl nanocrystals without blocking the surface and allowing the release of Ag+ cations. Thanks to the gained mechanistic insights, the selection of a suitable precipitation agent concentration can move from a trial and error selection process to a knowledge-based selection, allowing the rational design of different SOERS substrates that will facilitate the efficient application of SOERS in different research contexts

Growing our knowledge of EC-SOERS. #SERS. The Role of Chloride in Raman Signal Enhancement by Electrochemical Silver Oxidation Revealed by Dark Field Microscopy | Analytical Chemistry pubs.acs.org/doi/10.1021/...

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CFATA UNAM | #polymlab 📑
Acoplar #celulosa 🌱con nanopartículas de Au ✨, procesadas en un disolvente eutéctico profundo #DES🧪 , permite preparar #aerogeles plasmónicos para detectar analitos mediante #SERS.
Todos los detalles de la síntesis están aquí:
👉 doi.org/10.1016/j.xp...

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Emerging biomedical applications of surface-enhanced Raman spectroscopy integrated with artificial intelligence and microfluidic technologies The integration of surface-enhanced Raman spectroscopy (SERS), artificial intelligence (AI), and microfluidics represent a transformative approach for…

Excited to share our new article!
This review highlights the powerful synergy between SERS, AI, and Microfluidic technologies and how their integration is transforming the landscape of biomedical field.
www.sciencedirect.com/science/arti...
#SERS #AI #Microfluidics #Biophotonics #RamanSpectroscopy

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Excited to join Dr. Alan O'Riordan as external evaluator for Dr. Alida Russo’s #PhDdefense @TyndallInstitut! A brilliant thesis on #SERS_based_LF #antibioticdetection in #milk. Congrats, Dr. Russo! More ICN2–Tyndall collabs to come! 🎓🧪🥛
#SERS #WomenInSTEM #NanoTech #MilkSafety #ICN2 #Tyndall #UCC

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