Metal organic framework based sensors for the detection of food contaminants
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Marimuthu, Murugavelu | - |
dc.contributor.author | Arumugam, Selva Sharma | - |
dc.contributor.author | Jiao, Tianhui | - |
dc.contributor.author | Sabarinathan, Devaraj | - |
dc.contributor.author | Li, Huanhuan | - |
dc.contributor.author | Chen, Quansheng | - |
dc.date.accessioned | 2023-07-11T06:40:51Z | - |
dc.date.available | 2023-07-11T06:40:51Z | - |
dc.date.created | 2023-07-11 | - |
dc.date.issued | 2022-09-01 | - |
dc.identifier.issn | 0165-9936 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88426 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.relation.isPartOf | TRAC-TRENDS IN ANALYTICAL CHEMISTRY | - |
dc.title | Metal organic framework based sensors for the detection of food contaminants | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000803560100001 | - |
dc.identifier.doi | 10.1016/j.trac.2022.116642 | - |
dc.identifier.bibliographicCitation | TRAC-TRENDS IN ANALYTICAL CHEMISTRY, v.154 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85129940225 | - |
dc.citation.title | TRAC-TRENDS IN ANALYTICAL CHEMISTRY | - |
dc.citation.volume | 154 | - |
dc.contributor.affiliatedAuthor | Arumugam, Selva Sharma | - |
dc.type.docType | Review | - |
dc.subject.keywordAuthor | Metal-organic frameworks (MOFs) | - |
dc.subject.keywordAuthor | Food contamination | - |
dc.subject.keywordAuthor | Sensors | - |
dc.subject.keywordAuthor | Pesticide | - |
dc.subject.keywordAuthor | Antibiotic | - |
dc.subject.keywordAuthor | Mycotoxin | - |
dc.subject.keywordAuthor | Pathogen | - |
dc.subject.keywordPlus | EFFICIENT LUMINESCENT SENSOR | - |
dc.subject.keywordPlus | COLORIMETRIC DETECTION | - |
dc.subject.keywordPlus | 3-NITROPROPIONIC ACID | - |
dc.subject.keywordPlus | SENSITIVE DETECTION | - |
dc.subject.keywordPlus | RAPID DETECTION | - |
dc.subject.keywordPlus | QUANTITATIVE-DETERMINATION | - |
dc.subject.keywordPlus | ELECTROCHEMICAL SENSOR | - |
dc.subject.keywordPlus | TOXIC MYCOTOXIN | - |
dc.subject.keywordPlus | MOF | - |
dc.subject.keywordPlus | ANTIBIOTICS | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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