Advances in smartphone-based biosensors for food testing

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.

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Publication Details

Journal
Current Opinion in Food Science
Published
2024-11-07
DOI
https://doi.org/10.1016/j.cofs.2024.101236
Citations
17
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
3.14

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article

Advances in smartphone-based biosensors for food testing

Xihong Zhao, S. Joe Qin, Xifeng Sun
17 citations
Current Opinion in Food Science
Biosensors and Analytical Detection
3.14
article

Advances in smartphone-based biosensors for food testing

Xihong Zhao, S. Joe Qin, Xifeng Sun
article en
17 citations

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.

Current Opinion in Food ScienceVol. 61
Wuhan Institute of Technology (CN)
Wuhan Institute of Technology
Zero hunger
Openalex Percentile: Top 8%
Biosensors and Analytical Detection
3.14
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