可追溯性
化学计量学
计算机科学
认证(法律)
偏最小二乘回归
稳健性(进化)
葡萄酒
农业
样品(材料)
数据挖掘
机器学习
食品科学
化学
色谱法
生态学
生物化学
计算机安全
软件工程
生物
基因
作者
Hong Zhu,Dazhou Zhu,Junmao Sun
标识
DOI:10.3389/fnut.2023.1247695
摘要
Geographical indications (GI) are used to protect the brand value of agricultural products, foodstuffs, and wine and promote the sustainable development of the agricultural and food industries. Despite the necessity for the traceability and recognition of GI product characteristics, no rapid, non-destructive approaches currently exist to identify, classify, and predict these properties. The application of gas chromatography-ion mobility spectrometry (GC-IMS) has increased exponentially due to instrument robustness and simplicity. This paper provided a detailed overview of recent GC-IMS applications in China for the quality evaluation of GI products and food, including agricultural products, as well as traditional Chinese food and liquor. The general workflow of GC-IMS coupled with chemometric analysis is presented, including sample collection, model construction and interpretation, and data acquisition, processing, and fusion. Several conclusions are drawn to increase partial least squares-discriminant analysis (PLS-DA) model precision, a chemometric technique frequently combined with GC-IMS.
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