• Flavor components detection an...

Treffer: Flavor components detection and discrimination of isomers in Huaguo tea using headspace-gas chromatography-ion mobility spectrometry and multivariate statistical analysis.

Title:
Flavor components detection and discrimination of isomers in Huaguo tea using headspace-gas chromatography-ion mobility spectrometry and multivariate statistical analysis.
Authors:
Lu W; Key Laboratory of Forensic Science, Ministry of Justice (Academy of Forensic Science), PR China; Key Laboratory of Evidence Identification in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, PR China., Chen J; Key Laboratory of Colloid and Interface Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, Shandong Province, PR China., Li X; Key Laboratory of Forensic Science, Ministry of Justice (Academy of Forensic Science), PR China; Key Laboratory of Evidence Identification in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, PR China. Electronic address: lixuebo@sdupsl.edu.cn., Qi Y; Key Laboratory of Evidence Identification in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, PR China., Jiang R; Key Laboratory of Evidence Identification in Universities of Shandong Province, Shandong University of Political Science and Law, Jinan, 250014, Shandong Province, PR China.
Source:
Analytica chimica acta [Anal Chim Acta] 2023 Feb 22; Vol. 1243, pp. 340842. Date of Electronic Publication: 2023 Jan 14.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0370534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4324 (Electronic) Linking ISSN: 00032670 NLM ISO Abbreviation: Anal Chim Acta Subsets: MEDLINE
Imprint Name(s):
Publication: Amsterdam : Elsevier
Original Publication: Amsterdam.
MeSH Terms:
Ion Mobility Spectrometry* , Volatile Organic Compounds*/analysis, Gas Chromatography-Mass Spectrometry/methods ; Multivariate Analysis ; Odorants/analysis ; Tea/chemistry
Contributed Indexing:
Keywords: Headspace-gas chromatography-ion mobility (HS-GC-IMS); Huaguo tea; Isomers; Multivariate statistical analysis; Volatile organic compounds
Substance Nomenclature:
0 (Volatile Organic Compounds)
0 (Tea)
Entry Date(s):
Date Created: 20230125 Date Completed: 20230127 Latest Revision: 20230202
Update Code:
20250114
DOI:
10.1016/j.aca.2023.340842
PMID:
36697178
Database:
MEDLINE

Weitere Informationen

Aroma components are one of the crucial factors in dynamic processes analysis, quality control, and origin traceability. Various categories of Huaguo Tea possessed different taste due to the generation of aroma. In this study, a comprehensive analysis of volatiles was conducted for five popular Huaguo Tea samples (Lemon Slices, Bitter Gourd Slices, Citri Reticulatae Pericarpium, Red Lycium Barbarum, and Black Lycium Barbarum) via gas chromatography-ion mobility spectrometry (GC-IMS) combining with multivariate statistical strategies. Comparison analysis was achieved with the properties of visually and intuitively by drawing of topography plots. A total of one hundred and eighty volatiles were distinguished. Aliphatic isomers were identified simultaneously by fingerprint spectra. Alcohols, aldehydes, esters, and ketones were the most abundant volatiles in Huaguo Tea samples. To characterize the Huaguo Tea precisely and establish an analysis model for their classification, multivariate statistical analysis was applied to distinguish different Huaguo Tea. Satisfied discrimination was obtained by principal component analysis (PCA) and orthogonal partial least squares discrimination analysis (OPLS-DA) based on the HS-GC-IMS results with the robustness parameter (R <sup>2</sup> Y) of 99.4%, and prediction ability parameter (Q <sup>2</sup> ) of 98.6%, respectively. The results provide a theoretical basis for aroma discrimination, isomer identification, and categories analysis of Huaguo Tea.
(Copyright © 2023 Elsevier B.V. All rights reserved.)

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.