Evidence map›Paper›PMID 42291810›Full record

ArticleFood chemistry: X2026

Flavor enhancement of summer-autumn black tea through synergistic processing with mixed fruit juice: a metabolomics analysis.

Baogui Liu, Mengfan Niu, Yunxian Wang, Renyuan Qin, Hongchun Cui, Yunxiong Zhao, Jingjing Yang, Zongyou Wei, Guangzhi Liang, Zhihui Feng and 2 more

Abstract read
In one paragraph

Article in Food chemistry: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Baogui LiuGuangxi South Subtropical Agricultural Science Research Institute, Chongzuo 532415, China.
Mengfan NiuState Key Laboratory of Tea Plant Germplasm Innovation and Resource Utilization, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China.
Yunxian WangGuangxi South Subtropical Agricultural Science Research Institute, Chongzuo 532415, China.
Renyuan QinGuangxi South Subtropical Agricultural Science Research Institute, Chongzuo 532415, China.
Hongchun CuiTea Research Institute, Hangzhou Academy of Agricultural Science, Hangzhou 310024, China.
Yunxiong ZhaoGuangxi South Subtropical Agricultural Science Research Institute, Chongzuo 532415, China.
Jingjing YangGuangxi South Subtropical Agricultural Science Research Institute, Chongzuo 532415, China.
Zongyou WeiGuangxi South Subtropical Agricultural Science Research Institute, Chongzuo 532415, China.
Guangzhi LiangGuangxi South Subtropical Agricultural Science Research Institute, Chongzuo 532415, China.
Zhihui FengState Key Laboratory of Tea Plant Germplasm Innovation and Resource Utilization, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China.
Junfeng YinState Key Laboratory of Tea Plant Germplasm Innovation and Resource Utilization, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China.
Lianfeng LuoGuangxi South Subtropical Agricultural Science Research Institute, Chongzuo 532415, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tea processed from the leaves harvested in the summer and autumn is often characterized by a pronounced bitterness and astringency, coupled with an aroma profile that lacks complexity. This study aimed to enhance the flavor of summer-autumn black tea by incorporating a mixed fruit juice (

Indexed as

AromaC. anisum-olensMetabonomicsShanhuangpi (SHP)Siraitia grosvenoriiSummer-autumn black tea

Identifiers

PMID42291810
PMCPMC13253201

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.