Identification of Meat Species by Gas Chromatography-Ion Mobility Spectrometry and Chemometrics

被引：0

作者：

Chen T. ^{[1
]}

Wu Z. ^{[2
]}

Wang Z. ^{[2
]}

Lu D. ^{[1
]}

Chen B. ^{[1
]}

机构：

[1] School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 213013, Jiangsu

[2] Jiangsu Agri-animal Husbandry Vocational College, School of Food Science and Technology, Taizhou, 225300, Jiangsu

来源：

Journal of Chinese Institute of Food Science and Technology | 2019年 / 19卷 / 07期

关键词：

Classification; GC-IMS; LDA; PCA;

D O I：

10.16429/j.1009-7848.2019.07.029

中图分类号：

学科分类号：

摘要：

A rapid and nondestructive headspace gas chromatography tandem ion mobility spectrometry(GC-IMS) method was established for the analysis of the volatile organic compounds in 3 kinds of meat. 59 samples were taken as the research object with beef, chicken and lamb, about 1 g tested sample was put into the standard sample bottle and sealed with magnetic cap for direct GC-IMS detection and analysis. The results show that the sample information area of characteristic peaks of GC-IMS 3D spectra corresponding to volatile organic substances can effectively characterize different types of meat, sectional intensity of area of the corresponding three-dimensional spectrum of 26 characteristic peaks were selected as variables. Principal component analysis (PCA) was used to reduce dimension of the selected variables of three kinds of meat and linear discrimination analysis (LDA) was further used to classify them. The accuracies of 98.3% were obtained by utilizing first two PCs and only 1 beef samples were misjudged as the lamb sample. GC-IMS is simple, rapid and nondestructive technology, and can be used for rapid identification of other food and agricultural products. © 2019, Editorial Office of Journal of CIFST. All right reserved.

引用

页码：221 / 226

页数：5

共 10 条

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