Journal
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
Volume 157, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.trac.2022.116819
Keywords
Sample preparation; Validation; Mass spectrometry; Vibrational spectroscopy; Microscopy; FTIR; Raman; AFM-IR
Categories
Funding
- European Union [860775]
- Marie Curie Actions (MSCA) [860775] Funding Source: Marie Curie Actions (MSCA)
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This article reviews the widespread contamination of microplastics and nanoplastics in the environment and discusses current analytical techniques. While various methods have been developed for the detection and characterization of these plastic particles, there is still a lack of a unique method that can provide comprehensive information. It is crucial to establish rigorous best practices to obtain reliable data and understand the occurrence of plastic particles in food.
Since microplastics (MPs) and nanoplastics (NPs) have started emerging as ubiquitous contaminants in the environment, a variety of analytical techniques has been developed and tested for the detection and characterization of polymer particles at a micro-and nano-scale. Yet, no unique method stands out for its ability to yield all the relevant information required to properly address MP and NP contamination in the environment, and even less so in food material.In this review, several approaches to sample preparation and isolation of MPs from food matrices are reported, well-established and promising emerging analytical techniques for the detection and charac-terization of MPs and NPs are described and discussed.The information reported in this review shows that even the most widely used methods are still under development and MP/NP analysis is still far away from method validation and standardization. The establishment of rigorous best practices to yield reliable data and build a comprehensive knowledge of MP and NP occurrence in food is essential for the implementation of strategies and policies to address MP/NP pollution. Therefore, an outlook of the field towards harmonization and quality improvement of MP/NP analysis is included in this review.(c) 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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