Evidence map›Paper›PMID 41963378›Full record

ArticleNPJ science of food2026

Potential of green tea-type processed tea from Eurya alata Kobuski leaves: a comprehensive analysis of major nutrients and bioactive components.

Bin Wang, Ishtiaq Ahmad, Danhua Lin, Shiguo Chen, Xingqian Ye, Ming Zhang

Abstract read
In one paragraph

Article in NPJ science of food, 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

6 authors.

Bin WangCollege of Tea and Food, Xinyang Normal University, Xinyang, China.
Ishtiaq AhmadFood Research Center, Zhongyuan Institute, Zhejiang University, Zhengzhou, China.
Danhua LinFood Research Center, Zhongyuan Institute, Zhejiang University, Zhengzhou, China.
Shiguo ChenFood Research Center, Zhongyuan Institute, Zhejiang University, Zhengzhou, China.
Xingqian YeFood Research Center, Zhongyuan Institute, Zhejiang University, Zhengzhou, China.
Ming ZhangFood Research Center, Zhongyuan Institute, Zhejiang University, Zhengzhou, China. ming-zhang@zju.edu.cn.

Funding

the Key Research and Development Program of Dabie Mountain Laboratory Henan Province DMLP015Zhengzhou Outstanding Young Science and Technology Talent 2025QNKJ042
6 · The paper itself

Abstract

Lingmu tea, produced from Eurya alata Kobuski leaves, is a traditional non-Camellia sinensis tea, yet the chemical basis underlying its quality formation during green tea-type processing remains unclear. This study systematically investigated the effects of processing on sensory quality, chemical composition, and antioxidant capacity of Lingmu tea. Processed tea exhibited a bright orange-yellow infusion, a mellow and umami-dominant taste, and a mature, harmonious aroma characterized by chestnut-like, sweet, woody, and floral notes. Green tea-type processing increased total phenolic content from 183.20 to 224.59 mg/g and total flavonoid content from 87.31 to 120.11 mg/g. Metabolomic analysis revealed significant remodeling of non-volatile metabolites, characterized by flavonoid enrichment and catechin reduction. The major aroma contributors (ROAV > 1), included linalool, 1-octen-3-one, dimethyl sulfide, nonanal, and ethanol, with their dominant contributors differing markedly between fresh leaves and processed tea. Antioxidant capacity was functionally redistributed after processing: DPPH and superoxide anion scavenging activities decreased, whereas total antioxidant capacity increased substantially (from 208.31 to 346.77 μmol/g), while hydroxyl radical scavenging activity showed no significant difference. Overall, this study elucidates the chemical basis of quality formation in Lingmu tea and supports its evaluation, development, and standardization as a functional specialty tea.

Identifiers

PMID41963378
PMCPMC13254340

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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.