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Applications of Raman spectroscopy for microplastic detection and characterization: a comprehensive spectral reference

Environmental Science and Pollution Research 2025 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 58 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Yasemin Umurhan, Mackenzie Songsart-Power, Tej B. Limbu, Tuan Phan

Summary

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.

Study Type Environmental

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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