Identification of common textile microplastics <i>via</i> autofluorescence spectroscopy coupled with k-means cluster analysis-Reference-Cited by-同舟云学术

Identification of common textile microplastics via autofluorescence spectroscopy coupled with k-means cluster analysis

Published:2024 Issue:18 Volume:149 Page:4747-4756
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Johns Marcus A.¹^ORCID,Zhao Hongying²^ORCID,Gattrell Mike²,Lockhart James²,Cranston Emily D.¹³⁴^ORCID

Affiliation:

1. Department of Wood Science, The University of British Columbia, 2424 Main Mall, Vancouver, BC, Canada V6T 1Z4

2. BC Research Inc., 12920 Mitchell Road, Richmond, BC, Canada V6 V 1M8

3. Department of Chemical and Biological Engineering, The University of British Columbia, 2360 East Mall, Vancouver, BC, Canada V6T 1Z3

4. UBC BioProducts Institute, 2385 East Mall, Vancouver, BC, Canada V6T 1Z4

Abstract

This research proposes autofluorescence spectroscopy for the successful identification of common polymers present in greywater from a minimal input data set. The effects of photooxidation and dyes are also considered.

Funder

Mitacs

Natural Sciences and Engineering Research Council of Canada

E.W.R. Steacie Memorial Fund

University of British Columbia

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/AN/D4AN00658E

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