人工智能在食品安全中的最新应用及进展  

Advancements and Modern Applications of Artificial Intelligence in Ensuring Food Safety

作　　者：左敏[1,2] 纪慧卓 苏礼君 张玉玉 颜文婧[1,4] 张青川 孔建磊 Zuo Min;Ji Huizhuo;Su Lijun;Zhang Yuyu;Yan Wenjing;Zhang Qingchuan;Kong Jianlei(National Engineering Research Center for Agri-Product Quality Traceability,Beijing Technology and Business University,Beijing 100048;School of Information,Beijing Wuzi University,Beijing 101126;School of Food and Health,Beijing Technology and Business University,Beijing 100048;School of Computer and Artificial Intelligence,Beijing Technology and Business University,Beijing 100048)

机构地区：[1]北京工商大学、农产品质量安全追溯技术及应用国家工程研究中心,北京100048 [2]北京物资学院信息学院,北京101126 [3]北京工商大学食品与健康学院,北京100048 [4]北京工商大学计算机与人工智能学院,北京100048

出　　处：《中国食品学报》2024年第10期1-13,共13页Journal of Chinese Institute Of Food Science and Technology

基　　金：国家自然科学基金项目(62433002,62476014,62473008);北京市科技新星计划项目(20240484710);国家重点研发计划项目(2021YFD2100605,2022YFF0606803);北京市属高校教师队伍建设支持计划高水平科研创新团队项目(BPHR20220104);北京学者计划项目(099);中华全国供销合作总社课题项目(202407)。

摘　　要：食品安全关乎国计民生,对社会经济稳健发展和人类健康至关重要。随着食品工业的快速发展与全球化趋势的加速推进,食品安全问题愈发严峻,成为亟待全球共同应对的重大议题。随着科技的飞速进步,以人工智能(AI)为代表的新兴技术在食品安全领域的应用日益广泛,展现出巨大的潜力与价值。AI以其强大的数据处理能力、精准的模式识别与预测分析功能,为食品安全问题预测与监管提供了强有力的技术支持,有效提升了食品安全管理的效率与精确度。AI实现了食品病原体检测与鉴定、新鲜度评估、保质期预测、食品掺假识别及食品安全预警等。本文综述AI在食品安全领域的研究进展。主要介绍AI在食品安全风险因素检测中的应用,尤其聚焦在食品中的微生物污染检测。同时,系统总结AI在食品质量安全评估中的应用,包括食品掺假识别、货架期预测及食品标签真实性检验。此外,阐述AI在食品安全监管中的应用,即食品安全预警系统的构建和食品安全追溯技术的智能化,并讨论当前AI在食品安全领域应用中面临的局限性和未来应用前景,旨在为保障公众健康,促进食品产业健康发展提供支撑。Food safety is a critical national concern,essential for promoting robust socio-economic development and protecting human health.As the food industry undergoes rapid expansion and globalization intensifies at an unprecedented pace,the issue of food safety has become an increasingly pressing concern.It has become a major issue that requires an urgent global response.With rapid advancements in science and technology,emerging technologies,notably artificial intelligence(AI),are increasingly being utilized in the field of food safety,showing substantial potential and significant value.With its powerful data processing capability,accurate pattern recognition and predictive analytics,AI provides strong technical support for the prediction and supervision of food safety issues,effectively improving the efficiency and accuracy of food safety management.Artificial intelligence has facilitated the detection of food pathogens,assessment of freshness,prediction of shelf life,identification of food adulteration,and issuance of food safety alerts.Therefore,this review summarizes the research progress of AI in the field of food safety.Firstly,the study primarily introduces the applications of AI in the detection of food safety risk factors,with a particular focus on the detection of microbial contamination in food.Furthermore,summarizes the applications of AI in the evaluation of food quality and safety,including the identification of food adulteration,the prediction of shelf life and the verification of food label authenticity.Additionally,the application of AI in food safety supervision is elaborated,including the development of an early warning system for food safety and the enhancement of food safety traceability technology through intelligent solutions.Finally,the current study discusses the current limitations of AI applications in the field of food safety and envisions future prospects,aiming to provide support for safeguarding public health and promoting the healthy development of the food industry.

关 键 词：人工智能 食品安全检测 食品安全监管 食品追溯 食品掺假 

分 类 号：TS201.6[轻工技术与工程—食品科学] TP18[轻工技术与工程—食品科学与工程]