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Identification and Evaluation of Microplastics from Tea Filter Bags Based on Raman Imaging

Microplastic (MP) contamination is a public issue for the environment and for human health. Plastic-based food filter bags, including polyethylene terephthalate, polypropylene, nylon 6 (NY6), and polyethylene, are widely used for soft drink sub-packaging, increasing the risk of MPs in foods and the...

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Autores principales: Mei, Tingna, Wang, Jiahua, Xiao, Xiaofeng, Lv, Jingwen, Li, Qiaocong, Dai, Huang, Liu, Xiaodan, Pi, Fuwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497986/
https://www.ncbi.nlm.nih.gov/pubmed/36140997
http://dx.doi.org/10.3390/foods11182871
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author Mei, Tingna
Wang, Jiahua
Xiao, Xiaofeng
Lv, Jingwen
Li, Qiaocong
Dai, Huang
Liu, Xiaodan
Pi, Fuwei
author_facet Mei, Tingna
Wang, Jiahua
Xiao, Xiaofeng
Lv, Jingwen
Li, Qiaocong
Dai, Huang
Liu, Xiaodan
Pi, Fuwei
author_sort Mei, Tingna
collection PubMed
description Microplastic (MP) contamination is a public issue for the environment and for human health. Plastic-based food filter bags, including polyethylene terephthalate, polypropylene, nylon 6 (NY6), and polyethylene, are widely used for soft drink sub-packaging, increasing the risk of MPs in foods and the environment. Three types of commercially available filter bags, including non-woven and woven bags, were collected, and MPs released after soaking were mapped using Raman imaging combined with chemometrics. Compared with peak area imaging at a single characteristic peak, Raman imaging combined with direct classical least squares calculation was more efficient and reliable for identifying MP features. Up to 94% of the bags released MPs after soaking, and there was no significant correlation with soaking conditions. Most MPs were tiny fragments and particles, and a few were fibrous MPs 620–840 μm in size. Woven NY6 filter bags had the lowest risk of releasing MPs. Source exploration revealed that most MPs originated from fragments and particles adsorbed on the surface of bags and strings. The results of this study are applicable to filter bag risk assessment and provide scientific guidance for regulating MPs in food.
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spelling pubmed-94979862022-09-23 Identification and Evaluation of Microplastics from Tea Filter Bags Based on Raman Imaging Mei, Tingna Wang, Jiahua Xiao, Xiaofeng Lv, Jingwen Li, Qiaocong Dai, Huang Liu, Xiaodan Pi, Fuwei Foods Article Microplastic (MP) contamination is a public issue for the environment and for human health. Plastic-based food filter bags, including polyethylene terephthalate, polypropylene, nylon 6 (NY6), and polyethylene, are widely used for soft drink sub-packaging, increasing the risk of MPs in foods and the environment. Three types of commercially available filter bags, including non-woven and woven bags, were collected, and MPs released after soaking were mapped using Raman imaging combined with chemometrics. Compared with peak area imaging at a single characteristic peak, Raman imaging combined with direct classical least squares calculation was more efficient and reliable for identifying MP features. Up to 94% of the bags released MPs after soaking, and there was no significant correlation with soaking conditions. Most MPs were tiny fragments and particles, and a few were fibrous MPs 620–840 μm in size. Woven NY6 filter bags had the lowest risk of releasing MPs. Source exploration revealed that most MPs originated from fragments and particles adsorbed on the surface of bags and strings. The results of this study are applicable to filter bag risk assessment and provide scientific guidance for regulating MPs in food. MDPI 2022-09-16 /pmc/articles/PMC9497986/ /pubmed/36140997 http://dx.doi.org/10.3390/foods11182871 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mei, Tingna
Wang, Jiahua
Xiao, Xiaofeng
Lv, Jingwen
Li, Qiaocong
Dai, Huang
Liu, Xiaodan
Pi, Fuwei
Identification and Evaluation of Microplastics from Tea Filter Bags Based on Raman Imaging
title Identification and Evaluation of Microplastics from Tea Filter Bags Based on Raman Imaging
title_full Identification and Evaluation of Microplastics from Tea Filter Bags Based on Raman Imaging
title_fullStr Identification and Evaluation of Microplastics from Tea Filter Bags Based on Raman Imaging
title_full_unstemmed Identification and Evaluation of Microplastics from Tea Filter Bags Based on Raman Imaging
title_short Identification and Evaluation of Microplastics from Tea Filter Bags Based on Raman Imaging
title_sort identification and evaluation of microplastics from tea filter bags based on raman imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497986/
https://www.ncbi.nlm.nih.gov/pubmed/36140997
http://dx.doi.org/10.3390/foods11182871
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