Evidence map›Paper›PMID 40231921›Full record

ArticleFoods (Basel, Switzerland)2025

Improving the Sensory Quality of Black Tea by Blending Varieties During Processing.

Wenxue Chen, Jiezhong Zan, Linfeng Yan, Haibo Yuan, Peiqiang Wang, Yongwen Jiang, Hongkai Zhu

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Wenxue ChenCollege of Horticulture, Qingdao Agricultural University, Qingdao 266109, China.
Jiezhong ZanKey Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture Tea Research Institute, China Academy of Agricultural Sciences, Hangzhou 310008, China.
Linfeng YanSichuan Tea Industry Group Co., Ltd., Yibin 644000, China.
Haibo YuanKey Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture Tea Research Institute, China Academy of Agricultural Sciences, Hangzhou 310008, China.
Peiqiang WangCollege of Horticulture, Qingdao Agricultural University, Qingdao 266109, China.ORCID 0000-0003-0814-2567
Yongwen JiangKey Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture Tea Research Institute, China Academy of Agricultural Sciences, Hangzhou 310008, China.
Hongkai ZhuKey Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture Tea Research Institute, China Academy of Agricultural Sciences, Hangzhou 310008, China.ORCID 0000-0002-5934-8592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tea blending technology is based on finished tea. Blending fresh leaves during processing has not been proposed and investigated anywhere. This study investigates the impact of blending fresh leaves from different varieties on the flavor quality of black tea. The main taste components, including catechins, theaflavins, and free amino acids, were analyzed using HPLC, while the volatile components were analyzed using GC-MS. The results show that adding fresh

Indexed as

fresh tea leavesnew processoolong varietiestea catechinsvolatile components

Identifiers

PMID40231921
PMCPMC11941214

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.