Headspace GC/MS and fast GC e-nose combined with chemometric analysis to identify the varieties and geographical origins of ginger (Zingiber officinale Roscoe)

被引:65
作者
Yu, Dai-xin [1 ]
Zhang, Xia [2 ]
Guo, Sheng [1 ]
Yan, Hui [1 ]
Wang, Jie-mei [1 ]
Zhou, Jia-qi [1 ]
Yang, Jian [3 ]
Duan, Jin-Ao [1 ]
机构
[1] Nanjing Univ Chinese Med, Natl & Local Collaborat Engn Ctr Chinese Med Reso, Jiangsu Collaborat Innovat Ctr Chinese Med Resour, Nanjing 210023, Peoples R China
[2] Nanjing Univ Chinese Med, Coll Artificial Intelligence & Informat Technol, Nanjing 210023, Peoples R China
[3] China Acad Chinese Med Sci, State Key Lab Dao Herbs Breeding Base, Natl Resource Ctr Chinese Mat Med, Beijing 100700, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Ginger; HS-GC-MS; fast GC e-nose; Chemometrics; Geographical origin discrimination; VIRGIN OLIVE OILS; GAS-CHROMATOGRAPHY;
D O I
10.1016/j.foodchem.2022.133672
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
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.
引用
收藏
页数:11
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共 33 条
[1]   Determination of Phenolic Compounds in Paprika by Ultrahigh Performance Liquid Chromatography-Tandem Mass Spectrometry: Application to Product Designation of Origin Authentication by Chemometrics [J].
Barbosa, Sergio ;
Campmajo, Guillem ;
Saurina, Javier ;
Puignou, Lluis ;
Nunez, Oscar .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2020, 68 (02) :591-602
[2]   Organosulfur volatile profiles in Italian red garlic (Allium Sativum L.) varieties investigated by HS-SPME/GC-MS and chemometrics [J].
Biancolillo, Alessandra ;
Aloia, Rosaria ;
Rossi, Leucio ;
D'Archivio, Angelo Antonio .
FOOD CONTROL, 2022, 131
[3]   Seeking a Fast Screening Method of the Varietal Origin of Olive Oil: The Usefulness of an NMR-Based Approach [J].
Cabrita, Maria Joao ;
Pires, Arona ;
Burke, Anthony J. ;
Garcia, Raquel .
FOODS, 2021, 10 (02) :1-9
[4]   Ginger (Zingiber officinale Roscoe) for the treatment and prevention of necrotizing enterocolitis [J].
Cakir, Ufuk ;
Tayman, Cuneyt ;
Serkant, Utku ;
Yakut, Halil Ibrahim ;
Cakir, Esra ;
Ates, Ufuk ;
Koyuncu, Ismail ;
Karaogul, Eyyup .
JOURNAL OF ETHNOPHARMACOLOGY, 2018, 225 :297-308
[5]   Aroma quality evaluation of Dianhong black tea infusions by the combination of rapid gas phase electronic nose and multivariate statistical analysis [J].
Chen, Jiayu ;
Yang, Yanqin ;
Deng, Yuliang ;
Liu, Zhengquan ;
Xie, Jialing ;
Shen, Shuai ;
Yuan, Haibo ;
Jiang, Yongwen .
LWT-FOOD SCIENCE AND TECHNOLOGY, 2022, 153
[6]   Authentication of Douro DO monovarietal red wines based on anthocyanin profile: Comparison of partial least squares ? discriminant analysis, decision trees and artificial neural networks [J].
Cosme, Fernanda ;
Milheiro, Juliana ;
Pires, Joana ;
Guerra-Gomes, Fernanda Isabel ;
Filipe-Ribeiro, Luis ;
Nunes, Fernando M. .
FOOD CONTROL, 2021, 125
[7]   Antimicrobial Activity of Ginger (Zingiber Officinale) and Its Application in Food Products [J].
Del Carmen Beristain-Bauza, Silvia ;
Hernandez-Carranza, Paola ;
Soledad Cid-Perez, Teresa ;
Avila-Sosa, Raul ;
Israel Ruiz-Lopez, Irving ;
Enrique Ochoa-Velasco, Carlos .
FOOD REVIEWS INTERNATIONAL, 2019, 35 (05) :407-426
[8]   Determination of the geographical origin of green coffee beans using NIR spectroscopy and multivariate data analysis [J].
Giraudo, A. ;
Grassi, S. ;
Savorani, F. ;
Gavoci, G. ;
Casiraghi, E. ;
Geobaldo, F. .
FOOD CONTROL, 2019, 99 :137-145
[9]   Rapid analysis of Baijiu volatile compounds fingerprint for their aroma and regional origin authenticity assessment [J].
He, Xi ;
Yangming, Huang ;
Gorska-Horczyczak, Elzbieta ;
Wierzbicka, Agnieszka ;
Jelen, Henryk H. .
FOOD CHEMISTRY, 2021, 337
[10]   Lipid Compositions and Geographical Discrimination of 94 Geographically Authentic Wheat Samples Based on UPLC-MS with Non-Targeted Lipidomic Approach [J].
Jin, Mengchu ;
Zheng, Wenhao ;
Zhang, Yaqiong ;
Gao, Boyan ;
Yu, Liangli .
FOODS, 2021, 10 (01)