| Title: | Headspace GC/MS and fast GC e-nose combined with chemometric analysis to identify the varieties and geographical origins of ginger (Zingiber officinale Roscoe) |
| Author(s): | Yu DX; Zhang X; Guo S; Yan H; Wang JM; Zhou JQ; Yang J; Duan JA; |
| Address: | "National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China. College of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing 210023, China. National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China. Electronic address: guosheng@njucm.edu.cn. State Key Laboratory of Dao-di Herbs Breeding Base, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China. National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China. Electronic address: dja@njucm.edu.cn" |
| DOI: | 10.1016/j.foodchem.2022.133672 |
| ISSN/ISBN: | 1873-7072 (Electronic) 0308-8146 (Linking) |
| Abstract: | "Food authenticity regarding different varieties and geographical origins is increasingly becoming a concern for consumers. In this study, headspace gas chromatography-mass spectrometry (HS-GC-MS) and fast gas chromatography electronic nose (fast GC e-nose) were used to successfully distinguish the varieties and geographical origins of dried gingers from seven major production areas in China. By chemometric analysis, a distinct separation between the two varieties of ginger was achieved based on HS-GC-MS. Furthermore, flavor information extracted by fast GC e-nose realized the discrimination of geographical origins, and some potential flavor components were selected as important factors for origin certification. Moreover, several pattern recognition algorithms were compared in varietal and regional identification, and random forest (RF) led to the highest accuracies for discrimination. Overall, a rapid and precise method combining multivariate chemometrics and algorithms was developed to determine varieties and geographical origins of ginger, and it could also be applied to other agricultural products" |
| Keywords: | Chemometrics China Electronic Nose Gas Chromatography-Mass Spectrometry/methods *Ginger/chemistry *Volatile Organic Compounds/analysis Geographical origin discrimination Ginger Hs-gc-ms fast GC e-nose; |
| Notes: | "MedlineYu, Dai-Xin Zhang, Xia Guo, Sheng Yan, Hui Wang, Jie-Mei Zhou, Jia-Qi Yang, Jian Duan, Jin-Ao eng England 2022/07/26 Food Chem. 2022 Dec 1; 396:133672. doi: 10.1016/j.foodchem.2022.133672. Epub 2022 Jul 12" |
