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Cited 18 time in webofscience Cited 25 time in scopus
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Metal organic framework based sensors for the detection of food contaminants

Authors
Marimuthu, MurugaveluArumugam, Selva SharmaJiao, TianhuiSabarinathan, DevarajLi, HuanhuanChen, Quansheng
Issue Date
1-Sep-2022
Publisher
ELSEVIER SCI LTD
Keywords
Metal-organic frameworks (MOFs); Food contamination; Sensors; Pesticide; Antibiotic; Mycotoxin; Pathogen
Citation
TRAC-TRENDS IN ANALYTICAL CHEMISTRY, v.154
Journal Title
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
Volume
154
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88426
DOI
10.1016/j.trac.2022.116642
ISSN
0165-9936
Abstract
Food contamination is a global concern. Therefore, it is necessary to identify, remove, and control persistent hazards and harmful constituents from products. Metal organic frameworks (MOF) are a class of compounds with unique chemical and physical properties offered in food safety standards. MOF-based sensors have emerged as promising complementary and alternative analysis methods to conventional detection methods, owing to their high absorbency, strong luminous features, and cost-effectiveness. In this review, we summarize various MOF-based sensors, describe their principles, and explore their applications in detecting pesticides, antibiotics, pathogens, and mycotoxins in terms of their sensitivity and multiplexing capability. The limitations and challenges of using MOF-based sensors for efficient and precise evaluation of food are also discussed. Finally, we discuss the purpose of developing and improving MOF material sensors, in the context of food security.(c) 2022 Elsevier B.V. All rights reserved.
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ARUMUGAM, SELVA SHARMA
Graduate School (Dept. of Nano Science and Technology)
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