Identification of different degrees of processed Ginger using GC-IMS combined with machine learning

IF 6.1 1区医学 Q1 PHARMACOLOGY & PHARMACY

Journal of Pharmaceutical Analysis Pub Date : 2023-10-01 DOI:10.1016/j.jpha.2023.10.005

Shuang Liu, Hongjing Dong, Minmin Zhang, Wei Geng, Xiao Wang

引用次数: 0

Abstract

• GC-IMS can analyze VOCs in different ginger processed products nondestructively and quickly • Nine indicator compounds are uncovered to distinguish different grades of processing ginger • Three machine learning models were built, with an accuracy of > 90% • These models were successfully validated in testing set

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GC-IMS结合机器学习对生姜不同加工程度的鉴别

•GC-IMS可以无损、快速地分析不同生姜加工产品中的挥发性有机化合物•发现了9种指标化合物来区分不同等级的生姜加工•建立了3个机器学习模型，准确率> 90%•这些模型在测试集中得到了成功的验证

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Pharmaceutical Analysis Chemistry-Electrochemistry

CiteScore

16.20

自引率

2.30%

发文量

674

审稿时长

22 weeks

期刊介绍： The Journal of Pharmaceutical Analysis (JPA), established in 2011, serves as the official publication of Xi'an Jiaotong University. JPA is a monthly, peer-reviewed, open-access journal dedicated to disseminating noteworthy original research articles, review papers, short communications, news, research highlights, and editorials in the realm of Pharmacy Analysis. Encompassing a wide spectrum of topics, including Pharmaceutical Analysis, Analytical Techniques and Methods, Pharmacology, Metabolism, Drug Delivery, Cellular Imaging & Analysis, Natural Products, and Biosensing, JPA provides a comprehensive platform for scholarly discourse and innovation in the field.