Volatile Profiling of Tongcheng Xiaohua Tea from Different Geographical Origins: A Multimethod Investigation Using Sensory Analysis, E-Nose, HS-SPME-GC-MS, and Chemometrics

Volatile Profiling of Tongcheng Xiaohua Tea from Different Geographical Origins: A Multimethod Investigation Using Sensory Analysis, E-Nose, HS-SPME-GC-MS, and Chemometrics

The evaluation of region-specific aroma characteristics in green tea remains critical for quality control. This study systematically analyzed eight Tongcheng Xiaohua tea samples (standard and premium batches) originating from four distinct regions using sensory analysis, electronic nose (E-nose), he...

Full description

Saved in:
Bibliographic Details
Main Authors: Ge Jin, Chenyue Bi, Anqi Ji, Jieyi Hu, Yuanrong Zhang, Lumin Yang, Sunhao Wu, Zhaoyang Shen, Zhou Zhou, Xiao Li, Huaguang Qin, Dan Mu, Ruyan Hou, Yan Wu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Foods
Subjects:
green tea
volatile components
E-nose
HS-SPME-GC-MS
odor activity value
Online Access:https://www.mdpi.com/2304-8158/14/11/1996
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The evaluation of region-specific aroma characteristics in green tea remains critical for quality control. This study systematically analyzed eight Tongcheng Xiaohua tea samples (standard and premium batches) originating from four distinct regions using sensory analysis, electronic nose (E-nose), headspace solid-phase microextraction coupled with gas chromatography–mass spectrometry (HS-SPME-GC-MS), and chemometrics. The E-nose results demonstrated that the volatile characteristics of Tongcheng Xiaohua tea exhibit distinct geographical signatures, confirming the regional specificity of its aroma. HS-SPME-GC-MS identified 66 volatile metabolites across samples, with 18 key odorants (OAV > 1) including linalool, geraniol, (<i>Z</i>)-jasmone, and <i>β</i>-ionone driving aroma profiles. The partial least squares–discriminant analysis (PLS-DA) model, combined with variable importance in projection (VIP) scores and OAV, identified seven compounds that effectively differentiate the origins, among which <i>α</i>-pinene and <i>β</i>-cyclocitral emerged as novel markers imparting unique regional characteristics. Further comparative analysis between standard and premium grades revealed 2-methyl butanal, 3-methyl butanal, and dimethyl sulfide as main differential metabolites. Notably, the influence of geographical origin on metabolite profiles was found to be more significant than batch effects. These findings establish a robust analytical framework for origin traceability, quality standardization, and flavor optimization in tea production, providing valuable insights for the tea industry.
ISSN:2304-8158

Similar Items