A comparison of spectroscopic analysis methods for microplastics: Manual, semi-automated, and automated Fourier transform infrared and Raman techniques SCIE SCOPUS

Cited 3 time in WEB OF SCIENCE Cited 3 time in Scopus
Title
A comparison of spectroscopic analysis methods for microplastics: Manual, semi-automated, and automated Fourier transform infrared and Raman techniques
Author(s)
Song, Young Kyoung; Hong, Sang Hee; Eo, So Eun; Shim, Won Joon
KIOST Author(s)
Hong, Sang Hee(홍상희)Eo, So Eun(어소은)Shim, Won Joon(심원준)
Alternative Author(s)
송영경; 홍상희; 어소은; 심원준
Publication Year
2021-12
Abstract
This study was conducted to establish the best practice for microplastic analysis by reducing the time demand and human bias and comparing the characteristics of μ-FTIR and Raman techniques. A manual analysis, semi-automated method, and fully automatic identification method were compared. Fully automated identification took the shortest time to analyze a whole filter paper (Ø25 mm), but its false positive identification rate was 80 ± 15%. The semi-automated analysis using spectrum profiling was suitable for all aspects of microplastic analysis. It was less time consuming than the manual analysis (manual: 6.1 ± 0.8 h, semi-automated: 4.0 ± 0.6 h), and 22 ± 12% more microplastic particles were detected using the semi-automated method compared to the manual analysis due to the reduction in false negative results. Raman microscopy was suitable for small microplastic (>5 μm) identification, although the Raman analysis took nine times longer than the semi-automated analysis. © 2021 Elsevier Ltd
ISSN
0025-326X
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/42090
DOI
10.1016/j.marpolbul.2021.113101
Bibliographic Citation
Marine Pollution Bulletin, v.173, 2021
Publisher
Elsevier Ltd
Keywords
Microplastic; Raman; Semi-automated method; Ultrafast mapping
Type
Article
Language
English
Document Type
Article
Publisher
Elsevier Ltd
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