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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Marine & Wildlife Remediation Sign in to save

Microplastic identification using Raman microsocpy

Zenodo (CERN European Organization for Nuclear Research) 2022 Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Shiwani Shiwani, Shiwani Shiwani, Christoph Krafft Christoph Krafft Shiwani Shiwani, Shiwani Shiwani, Jürgen Popp, Christoph Krafft Jürgen Popp, Jürgen Popp, Jürgen Popp, Jürgen Popp, Christoph Krafft Christoph Krafft Christoph Krafft Iwan W. Schie, Christoph Krafft Iwan W. Schie, Christoph Krafft Jürgen Popp, Iwan W. Schie, Christoph Krafft Jürgen Popp, Christoph Krafft Christoph Krafft

Summary

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.

Models
Study Type Environmental

The manufacturing of plastics has expanded enormously over the previous half-century. Degradation of plastic leads to microplastics (MP's) which appear to have become increasingly common in the environment. They have been found almost everywhere, inlcuding ocean, lakes, soil beach, and even human blood [1]. Thus, in terms of identifying MP's, highly efficient analytical techniques need to be developed. We developed and implemented a Raman-system, which enables rapid detection of microplastics on a substrate. The presentation will demonstrate the setup's development and use of it for the detection of microplastics. [1] Leslie, H. A. et al. (2022) "Discovery and quantification of plastic particle pollution in human blood," Environment international, 163(107199), p. 107199. Also see: https://micro2022.sciencesconf.org/427205/document

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