{"title":"Advances in smartphone-based biosensors for food testing","authors":"Shoucheng Qin, Xueyan Sun, Xihong Zhao","doi":"10.1016/j.cofs.2024.101236","DOIUrl":null,"url":null,"abstract":"<div><div>Food is an essential part of human life, and with economic growth, the focus has shifted from quantity to quality and safety. Rapid food testing, which involves identifying suspicious samples from a large number of food samples quickly, is crucial. A promising approach is to integrate current food analysis techniques with smartphone-based detection systems. This review summarizes recent developments in smartphone-based biosensors for portable food detection, presenting both single-mode and dual-mode biosensors on smartphones, as well as common materials used for optical sensing biosensors. The advancements in smartphone-based biosensors are driven by artificial intelligence technology. In this review, we discuss not only the technical principles and applications but also the challenges and future perspectives for smartphone-based biosensors.</div></div>","PeriodicalId":54291,"journal":{"name":"Current Opinion in Food Science","volume":"61 ","pages":"Article 101236"},"PeriodicalIF":8.9000,"publicationDate":"2024-11-07","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/S2214799324001140","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
Food is an essential part of human life, and with economic growth, the focus has shifted from quantity to quality and safety. Rapid food testing, which involves identifying suspicious samples from a large number of food samples quickly, is crucial. A promising approach is to integrate current food analysis techniques with smartphone-based detection systems. This review summarizes recent developments in smartphone-based biosensors for portable food detection, presenting both single-mode and dual-mode biosensors on smartphones, as well as common materials used for optical sensing biosensors. The advancements in smartphone-based biosensors are driven by artificial intelligence technology. In this review, we discuss not only the technical principles and applications but also the challenges and future perspectives for smartphone-based biosensors.
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.
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