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Microextraction techniques for sampling and determination of polychlorinated biphenyls: A comprehensive review

Citation

Jalili, V and Ghanbari Kakavandi, M and Ghiasvand, A and Barkhordari, A, Microextraction techniques for sampling and determination of polychlorinated biphenyls: A comprehensive review, Microchemical Journal, 179 Article 107442. ISSN 0026-265X (2022) [Refereed Article]

Copyright Statement

2022 Elsevier B.V. All rights reserved.

DOI: doi:10.1016/j.microc.2022.107442

Abstract

Polychlorinated biphenyls (PCBs) are a class of synthetic organic compounds that are used in a wide range of industrial and commercial applications. It has been shown that these molecules are exceptionally stable in the environment, are carcinogenic and neurotoxic, and can cause dermal and ocular complications. Consequently, exposure to PCBs, even at trace levels, can have severe adverse effects on human health and the entire ecosystems. On the other hand, the conventional methods used for the extraction and quantification of PCBs face challenges that have limited their application. Some of such limitations include high consumption of organic solvents, complex multiple-step processes, and low sensitivity. To address these shortcomings, microextraction techniques have been developed as more efficient and greener procedures for the trace analysis of PCBs from different matrices. This research aims at conducting a comprehensive review of the microextraction techniques and analytical methods used for sample preparation and analysis of PCBs in different matrices, along with discussions about the challenges and future prospects.

Item Details

Item Type:Refereed Article
Keywords:analytical methods, microextraction techniques, sample preparation, polychlorinated biphenyls
Research Division:Chemical Sciences
Research Group:Analytical chemistry
Research Field:Separation science
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the chemical sciences
UTAS Author:Ghiasvand, A (Professor Alireza Ghiasvand)
ID Code:153655
Year Published:2022
Web of Science® Times Cited:4
Deposited By:Chemistry
Deposited On:2022-09-30
Last Modified:2022-11-17
Downloads:0

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