A comparison of spectroscopic analysis methods for microplastics: Manual, semi-automated, and automated Fourier transform infrared and Raman techniques
SCIE
SCOPUS
Cited 32 time in
WEB OF SCIENCE
Cited 33 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, Soeun(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
- Files in This Item:
-
There are no files associated with this item.
Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.