Evidence map›Paper›PMID 42883607›Full record

ReviewFoods (Basel, Switzerland)2026

Advances in Flavor Formation Mechanisms and Technological Regulation of Sun-Processed Tea.

Li Guo, Chenxin Xie, Feng Zhao, Zhi Lin, Haipeng Lyu

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 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

5 authors.

Li GuoTea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China.ORCID 0000-0003-4591-110X
Chenxin XieTea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China.
Feng ZhaoTea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China.
Zhi LinTea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China.
Haipeng LyuTea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China.ORCID 0000-0002-4644-4323

Funding

Chinese Academy of Agricultural Sciences CAAS-ASTIP-2014-TRICAAS
6 · The paper itself

Abstract

The application of sun withering and sun drying in tea processing has been demonstrated to reduce energy consumption while endowing finished tea with unique flavor attributes. This study reviews recent progress in the sensory characterization, aroma chemistry, and the technological and environmental regulatory mechanisms underlying quality formation in sun-processed tea. Existing research has identified geraniol, linalool, decanal, and 1-octen-3-ol as the core aromatic components of sun-processed tea, among which 1-octen-3-ol contributes substantially to its characteristic sunlight-associated flavor profile. Furthermore, sun-induced photothermal coupling can regulate endogenous tea metabolism and mediate the differential conversion of flavor precursors across different tea categories. Precise control of light intensity, irradiation duration, ventilation and other environmental parameters, combined with tea-specific process regulation, is the core to developing characteristic flavors and stabilizing the quality of commercial sun-processed tea. Future research should focus on technological optimization, mechanistic investigation, and industrial translation of sun-processed tea technologies, so as to provide theoretical guidance for the innovative application of energy-saving and simplified sun exposure processing in the global tea industry.

Indexed as

flavor chemistrysun dryingsun-processed teasun withering

Identifiers

PMID42883607
PMCPMC13664458

What OpenQuestion holds

Textmetadata
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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.