Dong Hoon Lee, Md Wadud Ahmed, Mohammed Kamruzzaman
{"title":"Nanoscale substance–integrated optical sensing platform for pesticide detection in perishable foods","authors":"Dong Hoon Lee, Md Wadud Ahmed, Mohammed Kamruzzaman","doi":"10.1016/j.cofs.2024.101227","DOIUrl":null,"url":null,"abstract":"<div><div>Engineered optical sensing platforms are emerging as promising technologies for on-demand detection and quantification of target molecules. In the past, nanoscale substance–integrated optical sensing platforms were closely connected with biomedical applications. However, their use has recently expanded into food and agriculture to overcome the drawbacks of conventional analytic tools while achieving the detection of toxic chemical residues. This review discusses current examples and perspectives on the detection of pesticides/herbicides residue in perishable food using a nanoscale substance–supported novel optical sensing platform. Additionally, representative types of nanoscale substance–supported optical sensing platforms applied to food and agriculture with their corresponding examples are also briefly illustrated. This review provides an in-depth analysis of the prospect and challenge, confirming their promising advance and potential for pesticides/herbicides detection in food and agriculture. The authors envision that nanoscale substances–integrated optical sensing platforms will play a significant role in enhancing food safety in the future.</div></div>","PeriodicalId":54291,"journal":{"name":"Current Opinion in Food Science","volume":"60 ","pages":"Article 101227"},"PeriodicalIF":8.9000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Food Science","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221479932400105X","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Engineered optical sensing platforms are emerging as promising technologies for on-demand detection and quantification of target molecules. In the past, nanoscale substance–integrated optical sensing platforms were closely connected with biomedical applications. However, their use has recently expanded into food and agriculture to overcome the drawbacks of conventional analytic tools while achieving the detection of toxic chemical residues. This review discusses current examples and perspectives on the detection of pesticides/herbicides residue in perishable food using a nanoscale substance–supported novel optical sensing platform. Additionally, representative types of nanoscale substance–supported optical sensing platforms applied to food and agriculture with their corresponding examples are also briefly illustrated. This review provides an in-depth analysis of the prospect and challenge, confirming their promising advance and potential for pesticides/herbicides detection in food and agriculture. The authors envision that nanoscale substances–integrated optical sensing platforms will play a significant role in enhancing food safety in the future.
期刊介绍:
Current Opinion in Food Science specifically provides expert views on current advances in food science in a clear and readable format. It also evaluates the most noteworthy papers from original publications, annotated by experts.
Key Features:
Expert Views on Current Advances: Clear and readable insights from experts in the field regarding current advances in food science.
Evaluation of Noteworthy Papers: Annotated evaluations of the most interesting papers from the extensive array of original publications.
Themed Sections: The subject of food science is divided into themed sections, each reviewed once a year.