食品中非食用物质检测技术研究进展

Research progress on detection technology for non edible substances in food

中文关键词:  非食用物质  检测技术  非靶向检测技术

英文关键词:non edible substances  detection technology  non targeted detection technology

中文摘要:

      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。

英文摘要:

      The safety problem caused by the illegal addition of non edible substances to food has become a major threat to public health. However, there are still some significant limitations in the existing detection technology system, such as blind areas and a lack of detection ability. With the advantages of high-throughput screening and identification of unknown substances, non targeted detection technology has made great progress in the fields of emerging contaminants, multi-residue detection of agricultural and veterinary drugs and among others. This paper introduced the detection techniques of non-edible substances such as spectrum, 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 database, 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 optimization path based on the fusion of non targeted detection technology analysis strategy and big data algorithm. The purpose of this paper was to provide a theoretical basis for the establishment of an efficient, accurate and green methodology system for non targeted detection of non-edible substances in food.