Evidence map›Paper›PMID 40565734›Full record

ArticleFoods (Basel, Switzerland)2025

Formation Mechanisms and Kinetic Modeling of Key Aroma Compounds During Qidan Tea Roasting.

Xing Gao, Siyuan Wang, Ying Wang, Huanlu Song

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Xing GaoLaboratory of Molecular Sensory Science, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China.ORCID 0009-0004-5714-4934
Siyuan WangLaboratory of Molecular Sensory Science, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China.
Ying WangLaboratory of Molecular Sensory Science, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China.ORCID 0009-0005-8575-899X
Huanlu SongLaboratory of Molecular Sensory Science, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China.ORCID 0000-0001-8513-3299

Funding

National Natural Science Foundation of China 32172335
6 · The paper itself

Abstract

Understanding the changes in tea aroma and non-volatile substances during roasting is essential for optimizing tea processing and enhancing tea quality. In this study, the Carbon Module Labeling (CAMOLA) technique was employed to simulate the roasting conditions of Qidan, thereby elucidating the formation pathway of the theanine-glucose Maillard system. Combined with sensory evaluation, the results indicated that the floral and fruity aromas of Qidan tea decreased, while the woody, roasted, smoky, and herbal aromas increased with prolonged roasting time. Kinetic modeling demonstrated that higher temperatures favored the production of benzaldehyde, which was directly proportional to the heating temperature. In contrast, pyrazines exhibited zero-order kinetics, influenced by both temperature and time. An increasing trend in furans was observed with rising temperature and extended heating time. The kinetic equations effectively describe the changes in aroma compounds associated with merad, highlighting the differences in the production patterns of aroma compounds under varying roasting conditions. This study provides a theoretical foundation for optimizing roasting parameters to enhance tea quality.

Indexed as

aroma formationCarbon Module Labeling (CAMOLA) techniquefuran compoundsQidan tearoasting time

Identifiers

PMID40565734
PMCPMC12191808

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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.