离子迁移光谱法
食品工业
污染
食品安全
食品质量
食品
气相色谱-质谱法
气相色谱法
风味
食品加工
环境科学
生化工程
化学
色谱法
质谱法
食品科学
工程类
生物
生态学
作者
Shuang Gu,Jing Zhang,Jun Wang,Xiangyang Wang,Dongdong Du
标识
DOI:10.1016/j.trac.2021.116435
摘要
The volatile profiles of agri-food products change dramatically during storage, processing and distribution. Rapid and non-destructive detection of volatiles is critical for flavor quality evaluation and science-based classification. Headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) has emerged as a promising technology for the accurate characterization and detection of volatile organic compounds (VOCs) in agri-food products. Due to its relatively simple system setup, sensitivity, stability, and robustness, HS-GC-IMS technology developed rapidly in the field of VOCs analysis. This paper provides a brief overview of the working principles and common used feature extraction methods for 3D HS-GC-IMS fingerprint. A literature update on the applications of HS-GC-IMS for ensuring quality and safety in food industry is presented, including agri-food products classification and adulteration, flavor change monitoring in agri-food products during storage and processing, and detection of microbial contamination in agri-food products. Perspectives on future trends and challenges are addressed.
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