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Alcohol Pretreatment to Eliminate the Interference of Micro Additive Particles in the Identification of Microplastics Using Raman Spectroscopy
[Image: see text] Raman spectroscopy is an indispensable tool in the analysis of microplastics smaller than 20 μm. However, due to its limitation, Raman spectroscopy may be incapable of effectively distinguishing microplastics from micro additive particles. To validate this hypothesis, we characteri...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454250/ https://www.ncbi.nlm.nih.gov/pubmed/36006854 http://dx.doi.org/10.1021/acs.est.2c01551 |
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author | Li, Dunzhu Sheerin, Emmet D. Shi, Yunhong Xiao, Liwen Yang, Luming Boland, John J. Wang, Jing Jing |
author_facet | Li, Dunzhu Sheerin, Emmet D. Shi, Yunhong Xiao, Liwen Yang, Luming Boland, John J. Wang, Jing Jing |
author_sort | Li, Dunzhu |
collection | PubMed |
description | [Image: see text] Raman spectroscopy is an indispensable tool in the analysis of microplastics smaller than 20 μm. However, due to its limitation, Raman spectroscopy may be incapable of effectively distinguishing microplastics from micro additive particles. To validate this hypothesis, we characterized and compared the Raman spectra of six typical slip additives with polyethylene and found that their hit quality index values (0.93–0.96) are much higher than the accepted threshold value (0.70) used to identify microplastics. To prevent this interference, a new protocol involving an alcohol treatment step was introduced to successfully eliminate additive particles and accurately identify microplastics. Tests using the new protocol showed that three typical plastic products (polyethylene pellets, polyethylene bottle caps, and polypropylene food containers) can simultaneously release microplastic-like additive particles and microplastics regardless of the plastic type, daily-use scenario, or service duration. Micro additive particles can also adsorb onto and modify the surfaces of microplastics in a manner that may potentially increase their health risks. This study not only reveals the hidden problem associated with the substantial interference of additive particles in microplastic detection but also provides a cost-effective method to eliminate this interference and a rigorous basis to quantify the risks associated with microplastic exposure. |
format | Online Article Text |
id | pubmed-9454250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-94542502022-09-09 Alcohol Pretreatment to Eliminate the Interference of Micro Additive Particles in the Identification of Microplastics Using Raman Spectroscopy Li, Dunzhu Sheerin, Emmet D. Shi, Yunhong Xiao, Liwen Yang, Luming Boland, John J. Wang, Jing Jing Environ Sci Technol [Image: see text] Raman spectroscopy is an indispensable tool in the analysis of microplastics smaller than 20 μm. However, due to its limitation, Raman spectroscopy may be incapable of effectively distinguishing microplastics from micro additive particles. To validate this hypothesis, we characterized and compared the Raman spectra of six typical slip additives with polyethylene and found that their hit quality index values (0.93–0.96) are much higher than the accepted threshold value (0.70) used to identify microplastics. To prevent this interference, a new protocol involving an alcohol treatment step was introduced to successfully eliminate additive particles and accurately identify microplastics. Tests using the new protocol showed that three typical plastic products (polyethylene pellets, polyethylene bottle caps, and polypropylene food containers) can simultaneously release microplastic-like additive particles and microplastics regardless of the plastic type, daily-use scenario, or service duration. Micro additive particles can also adsorb onto and modify the surfaces of microplastics in a manner that may potentially increase their health risks. This study not only reveals the hidden problem associated with the substantial interference of additive particles in microplastic detection but also provides a cost-effective method to eliminate this interference and a rigorous basis to quantify the risks associated with microplastic exposure. American Chemical Society 2022-08-25 2022-09-06 /pmc/articles/PMC9454250/ /pubmed/36006854 http://dx.doi.org/10.1021/acs.est.2c01551 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Li, Dunzhu Sheerin, Emmet D. Shi, Yunhong Xiao, Liwen Yang, Luming Boland, John J. Wang, Jing Jing Alcohol Pretreatment to Eliminate the Interference of Micro Additive Particles in the Identification of Microplastics Using Raman Spectroscopy |
title | Alcohol Pretreatment
to Eliminate the Interference
of Micro Additive Particles in the Identification of Microplastics
Using Raman Spectroscopy |
title_full | Alcohol Pretreatment
to Eliminate the Interference
of Micro Additive Particles in the Identification of Microplastics
Using Raman Spectroscopy |
title_fullStr | Alcohol Pretreatment
to Eliminate the Interference
of Micro Additive Particles in the Identification of Microplastics
Using Raman Spectroscopy |
title_full_unstemmed | Alcohol Pretreatment
to Eliminate the Interference
of Micro Additive Particles in the Identification of Microplastics
Using Raman Spectroscopy |
title_short | Alcohol Pretreatment
to Eliminate the Interference
of Micro Additive Particles in the Identification of Microplastics
Using Raman Spectroscopy |
title_sort | alcohol pretreatment
to eliminate the interference
of micro additive particles in the identification of microplastics
using raman spectroscopy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454250/ https://www.ncbi.nlm.nih.gov/pubmed/36006854 http://dx.doi.org/10.1021/acs.est.2c01551 |
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