Machine vision-based colorimetric sensor systems for food applications

被引：23

作者：

Jia, Xiaoxue ^{[1
]}

Ma, Peihua ^{[1
]}

Tarwa, Kevin ^{[1
]}

Wang, Qin ^{[1
]}

机构：

[1] Univ Maryland, Coll Agr & Nat Resources, Dept Nutr & Food Sci, College Pk, MD 20742 USA

来源：

JOURNAL OF AGRICULTURE AND FOOD RESEARCH | 2023年 / 11卷

关键词：

RECURRENT NEURAL-NETWORKS; ARRAY; CLASSIFICATION; PREDICTION;

D O I：

10.1016/j.jafr.2023.100503

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Food safety and quality are of importance in daily life. Colorimetric sensors can be used to rapidly and sensitively detect food safety and quality parameters. In this review, we summarize the recent developments and applications of colorimetric sensors in the field of food safety and quality determination. The principles, and advantage and disadvantage of machine vision are firstly discussed. Then, food application including food quality, food classification, and food poisoning related progress have been reviewed. In addition, the current challenges and future perspectives in the field of machine vision-based colorimetric sensor (MVBCS) for food safety and quality determination have also been highlighted. With the application of MVBCS in daily life, it is expected that food safety and quality can be improved in the near future.

引用

页数：8

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