Evidence map›Paper›PMID 37174277›Full record

ArticleFoods (Basel, Switzerland)2023

Chemical and Quality Analysis of Beauty Tea Processed from Fresh Leaves of Tieguanyin Variety with Different Puncturing Degrees.

Mingjin Li, Yunzhi Zhang, Chunmei Chen, Sitong Zhong, Minxuan Li, Kai Xu, Yanyu Zhu, Pengchun Li, Shijun You, Shan Jin

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Impact of tea green leafhopper (Food chemistry: X · 2025
    Article
  4. The Cytotoxic Activity and Metabolic Profiling ofMolecules (Basel, Switzerland) · 2024
    Article
  5. Article
  6. 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

10 authors.

Mingjin LiCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Yunzhi ZhangCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Chunmei ChenFujian Fengyuan Tea Industry Co., Ltd., Sanming 366100, China.
Sitong ZhongCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Minxuan LiCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0009-0004-0216-0371
Kai XuCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0000-0001-9674-8774
Yanyu ZhuCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Pengchun LiFujian Jiangshan Beauty Tea Co., Ltd., Sanming 366100, China.
Shijun YouCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0000-0001-7340-1524
Shan JinCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.

Funding

Fujian Sparking plan Project 2022S0031the China Agriculture Research System of MOF and MARA CARS-19the Natural Science Foundation of Fujian Province KJD20028Athe Science and Technology Innovation Fund of Fujian Zhang Tianfu Tea Development Foundation FJZTF01the State Key Laboratory of Crop Pest Ecological Prevention and Control of Fujian and Taiwan PTJH1600105the University-Enterprise Cooperation Horizontal Project of Datian County KH200145AYouth Academic Backbone Training Fund of College of Horticulture, Fujian Agriculture and Forestry University 102/72202011
6 · The paper itself

Abstract

Beauty tea with special flavor can be affected by the degree of leafhopper puncturing. The present research adopted widely targeted metabolomics to analyze the characteristic metabolites of fresh tea leaves and beauty tea with different degrees of leafhopper puncturing. Low-puncturing beauty tea (LPBT) exhibited a superior quality. Altogether, 95 and 65 differential metabolites, including tea polyphenols, saccharides, and lipids, were identified from fresh leaves and beauty tea, respectively. The partial least squares regression (PLSR) analysis results showed that isomaltulose, theaflavic acid, and ellagic acid, may be the characteristic metabolites that form the different taste outlines of beauty tea. Based on odor activity values (OAVs) and partial least squares discriminant analysis (PLS-DA), dihydrolinalool and cis-linalool oxide were identified as characteristic volatile components, which may be essential for the formation of the different aroma characteristic of beauty tea. The results provide a theoretical basis for selecting raw materials, performing quality research, and developing beauty tea industrially.

Indexed as

beauty teaGC-MSleafhopper puncturing degreemetabolitequalityUPLC-Q-TOF/MS

Identifiers

PMID37174277
PMCPMC10178084

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Registered trials

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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.