A comparison of microscopic and spectroscopic identification methods for analysis of microplastics in environmental samples SCIE SCOPUS

Cited 458 time in WEB OF SCIENCE Cited 575 time in Scopus
Title
A comparison of microscopic and spectroscopic identification methods for analysis of microplastics in environmental samples
Author(s)
Song, Young Kyoung; Hong, Sang Hee; Jang, Mi; Han, Gi Myung; Rani, Manviri; Lee, Jongmyoung; Shim, Won Joon
KIOST Author(s)
Hong, Sang Hee(홍상희)Jang, Mi(장미)Han, Gi Myung(한기명)Shim, Won Joon(심원준)
Alternative Author(s)
송영경; 홍상희; 장미; 한기명; MANVIRI; 심원준
Publication Year
2015-04-15
Abstract
The analysis of microplastics in various environmental samples requires the identification of microplastics from natural materials. The identification technique lacks a standardized protocol. Herein, stereomicroscope and Fourier transform infrared spectroscope (FT-IR) identification methods for microplastics (<1 mm) were compared using the same samples from the sea surface microlayer (SML) and beach sand. Fragmented microplastics were significantly (p < 0.05) underestimated and fiber was significantly overestimated using the stereomicroscope both in the SML and beach samples. The total abundance by FT-IR was higher than by microscope both in the SML and beach samples, but they were not significantly (p > 0.05) different. Depending on the number of samples and the microplastic size range of interest, the appropriate identification method should be determined; selecting a suitable identification method for microplastics is crucial for evaluating microplastic pollution. (C) 2015 Elsevier Ltd. All rights reserved.
ISSN
0025-326X
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/2502
DOI
10.1016/j.marpolbul.2015.01.015
Bibliographic Citation
MARINE POLLUTION BULLETIN, v.93, no.1-2, pp.202 - 209, 2015
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Subject
PLASTIC MARINE DEBRIS; PARTICLES; BEACHES; ACCUMULATION; SEDIMENTS; SEA; NORTH; OCEAN
Keywords
Microplastics; Identification; Stereomicroscope; FT-IR microscope
Type
Article
Language
English
Document Type
Article
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse