Evidence map›Paper›PMID 40422901›Full record

ArticleMetabolites2025

Integrated Analysis of Volatile Metabolites in Rose Varieties: Effects of Cultivar Differences and Drying Temperatures on Flavor Profiles.

Jun Zhang, Meile Sun, Xiangrong Ren, Jing Yang, Yijie Zhang, Jingtao Hui, Pengbing Li, Jianfei Tao, Tianzhi Liu, Guocang Lin

Abstract read
In one paragraph

Article in Metabolites, 2025. 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

10 authors.

Jun ZhangXinjiang Academy of Agricultural Sciences Comprehensive Experimental Farm, Urumqi 830012, China.
Meile SunXinjiang Academy of Agricultural Sciences Comprehensive Experimental Farm, Urumqi 830012, China.
Xiangrong RenXinjiang Academy of Agricultural Sciences Comprehensive Experimental Farm, Urumqi 830012, China.
Jing YangXinjiang Academy of Agricultural Sciences Comprehensive Experimental Farm, Urumqi 830012, China.
Yijie ZhangXinjiang Academy of Agricultural Sciences Comprehensive Experimental Farm, Urumqi 830012, China.
Jingtao HuiXinjiang Academy of Agricultural Sciences Comprehensive Experimental Farm, Urumqi 830012, China.
Pengbing LiXinjiang Academy of Agricultural Sciences Comprehensive Experimental Farm, Urumqi 830012, China.
Jianfei TaoXinjiang Academy of Agricultural Sciences Comprehensive Experimental Farm, Urumqi 830012, China.
Tianzhi LiuXinjiang Academy of Agricultural Sciences Comprehensive Experimental Farm, Urumqi 830012, China.
Guocang LinXinjiang Academy of Agricultural Sciences Comprehensive Experimental Farm, Urumqi 830012, China.

Funding

Xinjiang Academy of Agricultural Sciences xinkq-2021007
6 · The paper itself

Abstract

backgroundRose processing faces critical challenges in preserving bioactive compounds and aroma profiles during thermal treatments, particularly given the growing demand for natural ingredients in the food and cosmetic industries.

methodsUsing widely targeted metabolomics, we first characterized volatile profiles of four major commercial cultivars (Hetian, Damask, Bulgarian, and Fenghua;

resultsHetian rose exhibited significantly higher accumulation (

conclusionsThis study establishes the first cultivar-specific processing framework for roses, demonstrating that metabolic signature-guided drying improves product quality. The findings advance our understanding of thermal impacts on aroma biochemistry while providing actionable protocols for natural product industries.

Indexed as

hot air dryingrose flowersvarietyvolatile substancesWGCNA

Identifiers

PMID40422901
PMCPMC12113337

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LicenceCC BY
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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.