Evidence map›Paper›PMID 38633742›Full record

ArticleFood chemistry: X2024

The manufacturing process provides green teas with differentiated nonvolatile profiles and influences the deterioration of flavor during storage at room temperature.

Hanchen Zhou, Yaqin Liu, Qiong Wu, Xiaolei Zhang, Hui Wang, Pandeng Lei

Abstract read
In one paragraph

Article in Food chemistry: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Multidimensional Profiling of Chinese Sweet TeaFoods (Basel, Switzerland) · 2025
    Article
  6. Effects of Solid-State Fermentation withFoods (Basel, Switzerland) · 2025
    Article
  7. Article
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

6 authors.

Hanchen ZhouTea Research Institute, Anhui Academy of Agricultural Sciences, Huangshan 245000, China.
Yaqin LiuTea Research Institute, Anhui Academy of Agricultural Sciences, Huangshan 245000, China.
Qiong WuTechnology Center of Hefei Customs, Anhui Province Key Laboratory of Analysis and Detection for Food Safety, Hefei 230022, China.
Xiaolei ZhangTea Research Institute, Anhui Academy of Agricultural Sciences, Huangshan 245000, China.
Hui WangTea Research Institute, Anhui Academy of Agricultural Sciences, Huangshan 245000, China.
Pandeng LeiTea Research Institute, Anhui Academy of Agricultural Sciences, Huangshan 245000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hundreds of green tea products are available on the tea market and exhibit different characteristics. In the present study, seven types of green tea were processed, and their nonvolatile profiles were analyzed by liquid chromatography-mass spectrometry. Non-spreading green tea contained higher concentrations of catechins and flavonoid glycosides, but lower concentrations of amino acids, caffeine, and theaflavins. Non-rolling green teas with a straight appearance contained higher concentrations of flavonoid glycosides and theaflavins. In contrast, leaf-rolling green teas contained much lower concentrations of flavonoid glycosides and catechins. These seven green tea qualities all decreased following prolonged storage, concurrent with increasing concentrations of proanthocyanidins, catechins dimers, theaflavins, and organic acids. The leaf-rolling green teas exhibited reduced levels of deterioration during storage in terms of their nonvolatile profile and sensory quality. Findings show that moderate destruction on tea leaves during green tea processing is beneficial to both tea flavor and quality maintenance during storage.

Indexed as

DeteriorationGreen teaStorageTea processingUPLC-QTRAP-MS/MS

Identifiers

PMID38633742
PMCPMC11021834

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.