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Latest Advances and Developments to Detection of Micro‐ and Nanoplastics Using Surface‐Enhanced Raman Spectroscopy
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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.
Abstract The increasing demand for single‐use plastic‐based products worldwide has generated immense waste during the last decade. This review aims to summarize the current developments of surface‐enhanced Raman spectroscopy (SERS) for detecting micro‐ and nanoplastics in a variety of samples and environments. Despite the SERS technique being very recent for this purpose, its robustness has already been discussed in a few analyses focused on well‐known pollutants such as phthalates, plasticizers, and xenobiotic contaminants from commercially available water bottles. Here, the latest advances, obstacles, and perspectives are reviewed using SERS detection as a robust alternative for analyzing complex samples containing nanoplastic particles present in daily consumer products such as wine and vegetables. Moreover, this paper describes different SERS substrates developed to overcome the limitations for identifying polymer particles at low concentrations. Factors contributing to the sensitivity of SERS substrates are discussed to show the advantages and limitations of this technique. The broader role of SERS as a tool in environmental research is currently explored from polluted air and aquatic environments, which can be relevant for other fields, such as clinical monitoring and nanotoxicology.
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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.
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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
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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.
Surface-enhanced raman scattering technique for nanoplastics detection
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This study developed an improved surface-enhanced Raman scattering (SERS) method for detecting and quantifying nanoplastics, overcoming the size-dependent limitations that previously hindered this technique. The method successfully quantified polystyrene nanoplastics ranging from 100 nm to 1 µm in size, offering a new analytical tool for environmental nanoplastic monitoring.
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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.
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