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作 者:王婷 陈富泓 罗莹 赵子彦 庞杰[1] 徐敦明 WANG Ting;CHEN Fu-Hon;LUO Ying;ZHAO Zi-Yan;PANG Jie;XU Dun-Ming(College of Food Science,Fujian Agriculture and Forestry University,Fuzhou 350002,China;Technical Center of Xiamen Customs,Xiamen 361026,China)
机构地区:[1]福建农林大学食品科学学院,福州350002 [2]厦门海关技术中心,厦门361026
出 处:《食品安全质量检测学报》2025年第8期189-198,共10页Journal of Food Safety and Quality
基 金:国家重点研发计划项目(2023YFF1104900);厦门海关科技项目(XMHG2024012)。
摘 要:食品非法添加非食用物质引发的安全问题已成为威胁公众健康的重大隐患,但现有检测技术体系尚存在检测盲区与检测能力不足等显著局限性问题。非靶向检测技术凭借其可进行高通量筛查和识别未知物的优势,已在新兴污染物、农兽药多残留检测等领域取得重大进展。本文介绍了光谱、色谱及色谱-质谱等非食用物质靶向检测技术,详细阐述了非靶向检测技术的原理、应用以及基于数据库、质谱裂解特征、代谢组学3大分析策略的非靶向检测筛查的应用与局限性,探讨了非靶向检测技术在实际应用存在的问题与挑战,并创新性地提出推动非靶向检测技术实用化转型建议和基于非靶向检测技术分析策略与大数据算法融合的优化路径。本文旨在为建立高效、精准、绿色的食品中非食用物质非靶向检测方法学体系提供理论依据。The safety problem caused by the illegal addition of non edible substances to food has beco me a major threat to public health.However,there are still some significant limitations in the existing dete ction technology system,such as blind areas and a lack of detection ability.With the advantages of high-th roughput screening and identification of unknown substances,non targeted detection technology has made gr eat progress in the fields of emerging contaminants,multi-residue detection of agricultural and veterinary dr ugs and among others.This paper introduced the detection techniques of non-edible substances such as spec trum,chromatography and chromatography-mass spectrometry.The principle and application of non targeted detection technology and the application and limitation of non targeted detection screening based on databas e,mass spectrometry splitting characteristics and metabonomics were described in detail.The problems and challenges of non targeted detection technology in practical application were discussed.And innovatively put forward suggestions to promote the practical transformation of non targeted detection technology and the o ptimization path based on the fusion of non targeted detection technology analysis strategy and big data alg orithm.The purpose of this paper was to provide a theoretical basis for the establishment of an efficient,a ccurate and green methodology system for non targeted detection of non-edible substances in food.
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