Evidence map›Paper›PMID 40430404›Full record

ArticleMolecules (Basel, Switzerland)2025

Analysis of Volatile Compounds with Odor Characteristics in Dianhong, Chuanhong, and Keemunhong Based on SPME-GC×GC-MS.

Sinuo Li, Qi Meng, Chunli Huang, Peihan Zhou, Sirui Yao, Yamin Guo, Xiaojun Wang

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sinuo LiCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China.ORCID 0009-0006-5919-1173
Qi MengLaboratory of Molecular Sensory Science, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China.
Chunli HuangCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Peihan ZhouLaboratory of Molecular Sensory Science, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China.
Sirui YaoCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Yamin GuoCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Xiaojun WangCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China.

Funding

Science Research Fund Project of the Yunnan Provincial Department of Education 2023J0431Yunnan Agricultural Basic Research Joint Special Project 202401BD070001-041Yunnan Fundamental Research Projects 202301AU070106
6 · The paper itself

Abstract

China is the place of origin and main producer of black tea worldwide, with Dianhong (DH), Chuanhong (CH), and Keemunhong (KH) being the famous Chinese black teas. The contents of various odor components in black teas differ with their origins. However, the effects of these differences on the presentation of distinctive odor characteristics in various products remain unclear. We aimed to elucidate the odor characteristics and odor compounds of these three black teas; to this end, we performed a sensory evaluation and multivariate statistical analysis based on comprehensive two-dimensional gas chromatography-mass spectrometry (GC×GC-MS) results. The sensory evaluation revealed that the odor characteristics of DH were floral and fruity, whereas sweet and herbal-like odors were more intense in CH and QH. A total of 119 volatile compounds were detected, with alcohols, aldehydes, and esters being the main volatile compounds. Among them, 41 volatile compounds were identified with an odor activity value (OAV) of >1, and 24 of them were selected through principal component analysis, hierarchical cluster analysis, and orthogonal partial least squares discriminant analysis as marker substances to distinguish the three teas; thus, 24 volatile compounds are important odor compounds of DH, CH, and QH.

Indexed as

black teaGC×GC-MSkey odor compoundsOAVsensory evaluation

Identifiers

PMID40430404
PMCPMC12114277

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