We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Papers
61,005 resultsShowing papers similar to SERS-Based Local Field Enhancement in Biosensing Applications
ClearAdvanced microplastic monitoring using Raman spectroscopy with a combination of nanostructure-based substrates
Researchers reviewed advances in Raman spectroscopy and surface-enhanced Raman scattering (SERS) — a technique that amplifies light signals using metallic nanostructures — for detecting micro- and nanoplastics at trace concentrations in environmental samples, highlighting new plasmonic materials, 3D substrates, and microfluidic chip platforms that enable on-site monitoring.
Research Progress of Surface-Enhanced Raman Scattering (SERS) Technology in Food, Biomedical, and Environmental Monitoring
This review covers advances in SERS (Surface-Enhanced Raman Scattering) technology, a powerful detection method that can identify trace amounts of contaminants at the molecular level. The technology has been applied to detecting microplastics, pesticide residues, heavy metals, and disease biomarkers in food, medical, and environmental samples. Better detection tools like SERS are important because they could help scientists measure exactly how much microplastic contamination is present in food and water.
Latest Advances and Developments to Detection of Micro‐ and Nanoplastics Using Surface‐Enhanced Raman Spectroscopy
This review examines the latest developments in using surface-enhanced Raman spectroscopy (SERS) to detect micro- and nanoplastics in various environmental samples. Researchers found that SERS offers significantly improved sensitivity compared to conventional methods, enabling detection of smaller plastic particles. The study suggests that SERS-based approaches hold promise for advancing nanoplastic detection, though challenges around standardization and reproducibility remain.
Advances in Surface‐Enhanced Raman Spectroscopy for Detection of Aquatic Environmental Pollutants
This review examines surface-enhanced Raman scattering (SERS) as a technique for detecting aquatic pollutants, highlighting its exceptional sensitivity and molecular fingerprinting capability for identifying microplastics and other contaminants at trace concentrations.
Applications of surface‐enhanced Raman spectroscopy in environmental detection
This review covers recent advances in surface-enhanced Raman spectroscopy, a highly sensitive analytical technique being applied to detect environmental contaminants including microplastics, heavy metals, pesticides, and pathogens. Researchers highlight effective substrate designs and detection methods that could enable faster, more accurate environmental monitoring. The technology shows promise for real-world applications but still faces challenges in moving from laboratory settings to field deployment.
Trapping tiny pollutants: SERS-driven strategies for microplastics and nanoplastics detection
This review explores how surface-enhanced Raman spectroscopy (SERS) is being developed as a highly sensitive tool for detecting and identifying micro- and nanoplastics in environmental and biological samples. Researchers highlight recent advances in sensor design, the integration of machine learning for improved accuracy, and the technique's potential for real-world monitoring. The study also identifies key challenges, including signal variability and the lack of standardized methods, that need to be resolved for broader adoption.
A review of recent progress in the application of Raman spectroscopy and SERS detection of microplastics and derivatives
This review covers advances in using Raman spectroscopy and surface-enhanced Raman spectroscopy (SERS) to detect and identify microplastics in the environment. These techniques offer high resolution and sensitive detection that can identify specific plastic types even at very small sizes. Better detection methods are essential for understanding the true extent of microplastic contamination and its potential risks to human health.
Advancing SERS-based detection of micro and nanoplastics in Agroecosystems: Current progress, challenges, and future directions
This review examines the potential of surface-enhanced Raman spectroscopy (SERS) as a point-of-care detection tool for micro- and nanoplastics in agroecosystems, highlighting its sensitivity advantages over conventional methods. It covers SERS substrate design, pre-treatment strategies, and recent applications in soil and plant matrices.
Hydrogel‐based surface‐enhanced Raman spectroscopy for food contaminant detection: A review on classification, strategies, and applications
This review covers hydrogel-based surface-enhanced Raman spectroscopy (SERS) substrates for detecting food contaminants. It is not about microplastics and is not relevant to microplastic research.
Strategies and Challenges of Identifying Nanoplastics in Environment by Surface-Enhanced Raman Spectroscopy
Researchers reviewed the use of surface-enhanced Raman spectroscopy (SERS) as a tool for detecting nanoplastics, which are plastic particles smaller than one micrometer. The study found that SERS offers high sensitivity for identifying individual nanoparticles, but significant challenges remain in applying this technique to complex environmental samples. The review outlines strategies for improving SERS-based nanoplastic detection to better assess environmental and health risks.
Development of SERS metal sensors
This French-language doctoral thesis reviews the development of SERS-based metal sensors for detecting environmental pollutants. Surface-enhanced Raman spectroscopy is an emerging analytical tool for identifying and measuring microplastics and chemical contaminants in environmental samples.
LSP-SPP Coupling Structure Based on Three-Dimensional Patterned Sapphire Substrate for Surface Enhanced Raman Scattering Sensing
This paper is not relevant to microplastics research — it describes a surface-enhanced Raman scattering (SERS) sensor substrate fabricated using three-dimensional patterned sapphire and silver nanoparticles for chemical detection applications.
In situ surface-enhanced Raman spectroscopy for detecting microplastics and nanoplastics in aquatic environments
This study evaluated surface-enhanced Raman spectroscopy (SERS) as a method for detecting and identifying microplastics and nanoplastics in aquatic environments, demonstrating its potential for detecting particles too small for conventional spectroscopy while noting remaining challenges for field deployment.
Applications of Raman spectroscopy for microplastic detection and characterization: a comprehensive spectral reference
This review evaluates Raman spectroscopy as a tool for detecting and identifying microplastics across water, soil, air, and biological samples. The study consolidates reference spectra for common plastic polymers and discusses recent innovations like surface-enhanced Raman techniques that improve detection sensitivity, while also addressing challenges like fluorescence interference in complex samples.
Recent advances in the functionalization of cellulose substrates for SERS sensors with improved performance
This review covered advances in functionalizing cellulose substrates for surface-enhanced Raman spectroscopy (SERS) sensors, focusing on metal nanoparticle functionalization strategies that improve sensitivity and reproducibility. Cellulose-based SERS substrates are relevant for environmental microplastic detection given their sustainability and ease of functionalization.
Thermoelectrically Driven Dual-Mechanism Regulation on SERS and Application Potential for Rapid Detection of SARS-CoV-2 Viruses and Microplastics
Researchers developed a highly sensitive thermoelectrically driven surface-enhanced Raman scattering (SERS) substrate for detecting trace-level contaminants. The study demonstrated that applying a temperature gradient to the substrate dramatically enhanced detection sensitivity, with potential applications for rapid identification of microplastics and other environmental contaminants at very low concentrations.
Development of Gold Nanostars Doped Flexible Substrate for Polystyrene Microplastic Detection Using Surface-enhanced Raman Scattering (sers)
Detecting microplastics in the environment requires fast, sensitive analytical tools, and this study developed a low-cost sensor using gold nanostars on a flexible substrate to detect polystyrene microplastics via surface-enhanced Raman scattering (SERS). The gold nanostar structures amplify the Raman signal of plastic particles, enabling detection at very low concentrations. This kind of portable, affordable detection technology could help expand microplastic monitoring beyond well-equipped research labs.
A Simple Method for the Fabrication of Silicon Inverted Pyramid Substrates for Surface-Enhanced Raman Spectroscopy
Researchers developed a simple, low-cost method using silver-assisted chemical etching to fabricate silicon inverted pyramid substrates for surface-enhanced Raman spectroscopy (SERS). SERS is one of the sensitive analytical tools used to detect and identify microplastics at very small particle sizes in environmental samples.
Development of a simple SERS substrate for the detection of pollutants and nanoplastics
Researchers fabricated silver- and gold-coated silicon SERS substrates and demonstrated their ability to detect nanoplastic particles as small as 50 nm by Raman mapping, achieving picomolar sensitivity for model compounds and showing strong potential for environmental monitoring of nanoplastics in food and water.
Fabrication of Bowl Array Surface-Enhanced Raman Scattering Substrates via Ag Nanoparticle Self-Assembly on Polymer UV-Imprinted Microbowls for Enhanced Raman Detection of Microplastics
Researchers fabricated bowl-array surface-enhanced Raman scattering substrates by depositing silver nanoparticles via self-assembly onto UV-imprinted polymer microbowls, creating 50-micrometre diameter bowl structures that combine SERS enhancement with light-trapping to enable highly sensitive detection of micrometer-sized microplastics.
Detection of nanoplastics through low-cost SERS substrates, based on 3D islands of aggregated gold nanoparticles on aluminum foil, for wide ranging applications
Researchers developed a low-cost surface-enhanced Raman spectroscopy (SERS) substrate by combining aluminium foil with 3D aggregates of gold nanoparticles stabilised by cucurbit[5]uril, enabling sensitive nanoplastic detection through plasmonic coupling. The substrate achieved trace-level analyte detection and offers a practical, scalable approach for nanoplastic identification across a wide range of environmental and analytical applications.
Nanostructured Raman substrates for the sensitive detection of submicrometer-sized plastic pollutants in water
Researchers developed nanostar-dimer-embedded nanopore substrates for surface-enhanced Raman scattering (SERS) and showed they can detect submicron polystyrene microplastic particles as small as 0.4 micrometers at concentrations of 50 ppm within minutes and without sample pretreatment, offering a sensitive and rapid analytical tool for detecting the smallest plastic pollutants in water.
Meniscus‐Confined 3D Printed Nanoparticles: A Comparative Study of Quantitative SERS Detection of Microplastics
Detecting microplastics accurately in environmental samples is technically challenging, and this study introduces a new approach using 3D-printed silver and gold nanoparticle surfaces that amplify the light signal from microplastics when analyzed by Raman spectroscopy. Both types of printed substrates could detect plastic particles at concentrations as low as 0.3–1.2 micrograms per milliliter, with high reproducibility across dozens of repeated measurements. This technology could make routine, sensitive microplastic monitoring faster and more practical for environmental agencies and researchers.
Flexible 3D Plasmonic Web Enables Remote Surface Enhanced Raman Spectroscopy
Researchers developed a flexible three-dimensional plasmonic web embedded in a biohybrid material that enables highly sensitive remote detection of chemicals using surface-enhanced Raman spectroscopy. The technology creates abundant electromagnetic hot spots that can detect molecules at extremely low concentrations. The study suggests this sensing platform could be applied to environmental monitoring, including the detection of microplastic-associated contaminants.