Progress of machine learning-based biosensors for the monitoring of food safety: A review

IF 10.7 1区生物学 Q1 BIOPHYSICS Biosensors and Bioelectronics Pub Date : 2024-09-12 DOI:10.1016/j.bios.2024.116782

Md Mehedi Hassan, Xu Yi, Jannatul Sayada, Muhammad Zareef, Muhammad Shoaib, Xiaomei Chen, Huanhuan Li, Quansheng Chen

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Abstract

Rapid urbanization and growing food demand caused people to be concerned about food safety. Biosensors have gained considerable attention for assessing food safety due to selectivity, and sensitivity but poor stability inherently limits their application. The emergence of machine learning (ML) has enhanced the efficiency of different sensors for food safety assessment. The ML combined with various noninvasive biosensors has been implemented efficiently to monitor food safety by considering the stability of bio-recognition molecules. This review comprehensively summarizes the application of ML-powered biosensors to investigate food safety. Initially, different detector-based biosensors using biological molecules with their advantages and disadvantages and biosensor-related various ML algorithms for food safety monitoring have been discussed. Next, the application of ML-powered biosensors to detect antibiotics, foodborne microorganisms, mycotoxins, pesticides, heavy metals, anions, and persistent organic pollutants has been highlighted for the last five years. The challenges and prospects have also been deliberated. This review provides a new prospect in developing various biosensors for multi-food contaminants powered by suitable ML algorithms to monitor in-situ food safety.

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基于机器学习的食品安全监控生物传感器的进展：综述

快速的城市化和不断增长的食品需求引起了人们对食品安全的关注。生物传感器因其选择性和灵敏度而在食品安全评估方面获得了广泛关注，但其稳定性较差，这从本质上限制了其应用。机器学习（ML）的出现提高了不同传感器在食品安全评估方面的效率。考虑到生物识别分子的稳定性，将 ML 与各种非侵入式生物传感器相结合，可有效监测食品安全。本综述全面总结了以 ML 为动力的生物传感器在食品安全研究中的应用。首先，讨论了使用生物分子的不同检测器生物传感器及其优缺点，以及与生物传感器相关的各种用于食品安全监控的 ML 算法。接下来，重点介绍了过去五年中应用 ML 驱动的生物传感器检测抗生素、食源性微生物、霉菌毒素、农药、重金属、阴离子和持久性有机污染物的情况。此外，还讨论了所面临的挑战和前景。本综述为利用合适的 ML 算法开发多种食品污染物生物传感器以监测现场食品安全提供了新的前景。

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来源期刊

Biosensors and Bioelectronics 工程技术-电化学

CiteScore

20.80

自引率

7.10%

发文量

1006

审稿时长

29 days

期刊介绍： Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.