Evidence map›Paper›PMID 38152463›Full record

ArticleFrontiers in nutrition2023

Widely targeted metabolomics analysis reveals the formation of nonvolatile flavor qualities during oolong tea manufacturing: a case study of Jinguanyin.

Qingcai Hu, Yucheng Zheng, Yun Yang, Zi-Xin Ni, Bin Chen, Zongjie Wu, Huiqing Huang, Qingyang Wu, Zi-Wei Zhou, Shuilian Gao and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Tissue-Resolved Metabolomic Profiling of TenFoods (Basel, Switzerland) · 2026
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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

13 authors at 3 institutions in 1 country.

Qingcai Hu *Key Laboratory of Tea Science, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China.
Yucheng Zheng *College of Tea and Food Science, Wuyi University, Nanping, China.
Yun YangKey Laboratory of Tea Science, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China.
Zi-Xin NiKey Laboratory of Tea Science, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China.
Bin ChenKey Laboratory of Tea Science, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China.
Zongjie WuKey Laboratory of Tea Science, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China.
Huiqing HuangKey Laboratory of Tea Science, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China.
Qingyang WuKey Laboratory of Tea Science, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China.
Zi-Wei ZhouCollege of Life Science, Ningde Normal University, Ningde, China.
Shuilian GaoAnxi College of Tea Science, Fujian Agriculture and Forestry University, Quanzhou, China.
Zhongxiong LaiInstitute of Horticultural Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, China.
Hongzheng LinKey Laboratory of Tea Science, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China.
Yun SunKey Laboratory of Tea Science, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China.
Fujian Agriculture and Forestry University · CNNingde Normal University · CNWuyi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The manufacturing processes of oolong tea significantly impact its nonvolatile components, leading to the emergence of distinct flavor attributes. Understanding the dynamic changes in nonvolatile components during the manufacturing stages of the Jinguanyin (JGY) cultivar is crucial for unraveling the potential mechanism behind flavor formation. Methods: Comprehensive metabolomics and sensomics analyses were conducted to investigate the dynamic changes in nonvolatile components throughout various phases of oolong tea processing, focusing on the JGY cultivar. Results: A total of 1,005 nonvolatile metabolites were detected, with 562 recognized as significant differential metabolites during various phases of oolong tea processing. Notably, the third turning-over, third setting, and high-temperature treatments exhibited the most significant effects on the nonvolatile metabolites of oolong tea. JGY finished tea demonstrated a characteristic flavor profile, marked by mellowness, sweetness in aftertaste, and a significant Yin rhyme. This flavor profile was collectively promoted by the accumulation of amino acids and organic acids, the decrease in flavonols (3-O-glycosides) and sugar substances, the alteration of phenolic acids, and the stabilization of caffeine. Conclusion: This study contribute to the understanding of the formation of oolong tea flavor qualities. The dynamic changes observed in various types of nonvolatile compounds during oolong tea processing shed light on the intricate interplay of metabolites and their influence on the final flavor characteristics.

Indexed as

Jinguanyinnonvolatile componentsoolong teapostharvest processingtasting qualitieswidely targeted metabolome

Identifiers

PMID38152463
PMCPMC10751955
OpenAlexW4389636382

What OpenQuestion holds

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LicenceCC BY
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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.