Evidence map›Paper›PMID 37628097›Full record

ArticleFoods (Basel, Switzerland)2023

Quantitative Analysis of Bioactive Compounds in Commercial Teas: Profiling Catechin Alkaloids, Phenolic Acids, and Flavonols Using Targeted Statistical Approaches.

Yuan Chen, Lingling Lai, Youli You, Ruizhen Gao, Jiaxin Xiang, Guojun Wang, Wenquan Yu

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Antioxidants (Basel, Switzerland) · 2026
    Article
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  6. Article
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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.

Yuan ChenFujian Academy of Agricultural Sciences, Fuzhou 350003, China.
Lingling LaiFujian Tea Science Society, Fuzhou 350013, China.
Youli YouYongchun County Cultivation Service Center, Quanzhou 362699, China.
Ruizhen GaoFujian Academy of Agricultural Sciences, Fuzhou 350003, China.
Jiaxin XiangFujian Academy of Agricultural Sciences, Fuzhou 350003, China.
Guojun WangHarbor Branch Oceanographic Institute, Florida Atlantic University, Fort Pierce, FL 34946, USA.
Wenquan YuFujian Academy of Agricultural Sciences, Fuzhou 350003, China.

Funding

5511 Collaborative Innovation Project of germplasm resources nursery XTCXGC 2021019Foreign Cooperation Projects of Fujian Academy of Agricultural Sciences DWHZ-2-22-21Free exploration scientific and technological innovation project of Fujian Academy of Agricultural Sciences ZYTS 2019019Fujian Province Foreign Cooperation Projects 2021I0034
6 · The paper itself

Abstract

Tea, an extensively consumed and globally popular beverage, has diverse chemical compositions that ascertain its quality and categorization. In this investigation, we formulated an analytical and quantification approach employing reversed-phase ultra-high-performance liquid chromatography (UHPLC) methodology coupled with diode-array detection (DAD) to precisely quantify 20 principal constituents within 121 tea samples spanning 6 distinct variants. The constituents include alkaloids, catechins, flavonols, and phenolic acids. Our findings delineate that the variances in chemical constitution across dissimilar tea types predominantly hinge upon the intricacies of their processing protocols. Notably, green and yellow teas evinced elevated concentrations of total chemical moieties vis à vis other tea classifications. Remarkably divergent levels of alkaloids, catechins, flavonols, and phenolic acids were ascertained among the disparate tea classifications. By leveraging random forest analysis, we ascertained gallocatechin, epigallocatechin gallate, and epicatechin gallate as pivotal biomarkers for effective tea classification within the principal cadre of tea catechins. Our outcomes distinctly underscore substantial dissimilarities in the specific compounds inherent to varying tea categories, as ascertained via the devised and duly validated approach. The implications of this compositional elucidation serve as a pertinent benchmark for the comprehensive assessment and classification of tea specimens.

Indexed as

alkaloidsbiomarkercatechinsflavonolstea classification

Identifiers

PMID37628097
PMCPMC10453493

What OpenQuestion holds

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LicenceCC BY
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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.