ArticleInternational journal of food science2026
Guizhou Green Tea Metabolomics Analysis: Volatile Metabolites Based on HS-GC-IMS and UPLC-Q-TOF-MSMS and Quality Evaluation.
Article in International journal of food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Guizhou Green Tea Metabolomics Analysis: Volatile Metabolites Based on HS-GC-IMS and UPLC-Q-TOF-MSMS and Quality Evaluation.International journal of food science · 2026Article
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Authors and funding
10 authors.
Funding
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Abstract
This study identifies metabolite profiles associated with aroma variations among three Guizhou green teas (Meitan Cuiya, Meitan Maofeng, and Duyun Maojian) using integrated HS-GC-IMS and UPLC-Q-TOF-MSMS analysis. We identified 57 volatile organic compounds and 159 phenolic compounds, with 22 compounds exhibiting relative odor activity values (rOAVs) ≥ 1. A partial least squares regression (PLSR) model was developed to establish quantitative relationships between metabolite concentrations and electronic tongue sensory parameters, demonstrating predictive capability (
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Registered trials
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