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Applications of Raman spectroscopy for microplastic detection and characterization: a comprehensive spectral reference
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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.
Microplastics (MPs), plastic particles smaller than 5 mm, represent an escalating global concern due to their persistence, ubiquity, and potential risks to ecosystems and human health. This review critically examines the application of Raman spectroscopy as a possibly non-destructive vibrational technique for detecting and characterizing MPs in environmental and biological matrices. The main objective is to consolidate Raman spectral signatures of common polymers such as polystyrene, polyester, and polyethylene terephthalate and to evaluate methodological advances that improve analytical precision and detection sensitivity. By summarizing Raman-based approaches across water, sediment, air, and biological tissues, this review identifies major analytical challenges including fluorescence interference and matrix complexity and discusses recent innovations such as coherent anti-Stokes Raman spectroscopy (CARS), surface-enhanced Raman spectroscopy (SERS), and compressive Raman technology (CRT). Overall, this work provides a comprehensive reference for Raman spectral data and offers practical insights to guide future research aimed at advancing MP detection and pollution mitigation.
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This review summarizes the latest advances in using Raman spectroscopy to identify microplastics in environmental samples, highlighting improvements in speed, sensitivity, and the ability to characterize plastic type and surface chemistry.
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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.
Microplastic identification using Raman microsocpy
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Researchers developed and implemented a Raman spectroscopy system for rapid detection and identification of microplastic particles on substrates. The system enables efficient chemical characterization of microplastics found across diverse environmental matrices including ocean, lakes, soil, beach sediment, and human blood.
Multivariate classification of Raman spectra from synthetic polymers – an approach for the improved detection of microplastics
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Multivariate classification of Raman spectral data was applied to identify common synthetic polymers, advancing the use of Raman spectroscopy as a tool for detecting and quantifying microplastics in environmental samples. The approach addresses limitations of traditional infrared spectroscopy by enabling analysis of wet samples, though fluorescence interference remains a challenge.
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This review summarized recent advances in Raman spectroscopy for fast and reliable microplastic identification, covering improvements in speed, sensitivity, and automation that are making the technique more practical for routine environmental monitoring. Raman-based methods are increasingly able to identify microplastics in complex environmental matrices including biological tissues.
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