Personal glucose meters coupled with signal amplification technologies for quantitative detection of non-glucose targets: Recent progress and challenges in food safety hazards analysis

Feng He; Haijie Wang; Pengfei Du; Tengfei Li; Weiting Wang; Tianyu Tan; Yaobo Liu; Yanli Ma; Yuanshang Wang; A.M. Abd El-Aty

doi:10.1016/j.jpha.2023.02.005

Volume 13 Issue 3

Mar. 2023

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Article Navigation > Journal of Pharmaceutical Analysis > 2023 > 13(3): 223-238

Feng He, Haijie Wang, Pengfei Du, Tengfei Li, Weiting Wang, Tianyu Tan, Yaobo Liu, Yanli Ma, Yuanshang Wang, A.M. Abd El-Aty. Personal glucose meters coupled with signal amplification technologies for quantitative detection of non-glucose targets: Recent progress and challenges in food safety hazards analysis[J]. Journal of Pharmaceutical Analysis, 2023, 13(3): 223-238. doi: 10.1016/j.jpha.2023.02.005

Citation:

Feng He, Haijie Wang, Pengfei Du, Tengfei Li, Weiting Wang, Tianyu Tan, Yaobo Liu, Yanli Ma, Yuanshang Wang, A.M. Abd El-Aty. Personal glucose meters coupled with signal amplification technologies for quantitative detection of non-glucose targets: Recent progress and challenges in food safety hazards analysis[J]. Journal of Pharmaceutical Analysis, 2023, 13(3): 223-238. doi: 10.1016/j.jpha.2023.02.005

Citation:

Feng He, Haijie Wang, Pengfei Du, Tengfei Li, Weiting Wang, Tianyu Tan, Yaobo Liu, Yanli Ma, Yuanshang Wang, A.M. Abd El-Aty. Personal glucose meters coupled with signal amplification technologies for quantitative detection of non-glucose targets: Recent progress and challenges in food safety hazards analysis[J]. Journal of Pharmaceutical Analysis, 2023, 13(3): 223-238. doi: 10.1016/j.jpha.2023.02.005

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Personal glucose meters coupled with signal amplification technologies for quantitative detection of non-glucose targets: Recent progress and challenges in food safety hazards analysis

doi: 10.1016/j.jpha.2023.02.005

a. Institute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Agro-Products Processing Technology, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture, Jinan, 250100, China;
b. School of Life Sciences and Food Engineering, Hebei University of Engineering, Handan, Hebei, 056038, China;
c. College of Life Sciences, Yantai University, Yantai, Shandong, 264005, China;
d. College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China;
e. Department of Pharmacology, Faculty of Veterinary Medicine, Cairo University, 12211, Giza, Egypt;
f. Department of Medical Pharmacology, Medical Faculty, Ataturk University, 25240, Erzurum, Turkey

Funds:

This work was supported by the Natural Science Foundation of Shandong Province (Grant No.: ZR2020QC250), China Agriculture Research System (Grant No.: CARS-38), Modern Agricultural Technology Industry System of Shandong Province (Grant No.: SDAIT-10-10), and Key Technology Research and Development Program of Shandong (Grant Nos.: 2021CXGC010809 and 2021TZXD012).

Received Date: Nov. 28, 2022
Accepted Date: Feb. 09, 2023
Rev Recd Date: Jan. 19, 2023
Publish Date: Feb. 16, 2023

Abstract

Abstract

Ensuring food safety is paramount worldwide. Developing effective detection methods to ensure food safety can be challenging owing to trace hazards, long detection time, and resource-poor sites, in addition to the matrix effects of food. Personal glucose meter (PGM), a classic point-of-care testing device, possesses unique application advantages, demonstrating promise in food safety. Currently, many studies have used PGM-based biosensors and signal amplification technologies to achieve sensitive and specific detection of food hazards. Signal amplification technologies have the potential to greatly improve the analytical performance and integration of PGMs with biosensors, which is crucial for solving the challenges associated with the use of PGMs for food safety analysis. This review introduces the basic detection principle of a PGM-based sensing strategy, which consists of three key factors: target recognition, signal transduction, and signal output. Representative studies of existing PGM-based sensing strategies combined with various signal amplification technologies (nanomaterial-loaded multienzyme labeling, nucleic acid reaction, DNAzyme catalysis, responsive nanomaterial encapsulation, and others) in the field of food safety detection are reviewed. Future perspectives and potential opportunities and challenges associated with PGMs in the field of food safety are discussed. Despite the need for complex sample preparation and the lack of standardization in the field, using PGMs in combination with signal amplification technology shows promise as a rapid and cost-effective method for food safety hazard analysis.
- Food safety,
- Personal glucose meter,
- Signal amplification,
- Point-of-care testing,
- Detection principle

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References(117)

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