Evidence map›Paper›PMID 42650616›Full record

ArticleFoods (Basel, Switzerland)2026

Analysis of Flavor Characteristics in Lemon-Fermented Fruit Wines from Three Distinct Varieties Using Odor Activity Values Combined with Multivariate Statistical Approaches.

Sen Huang, Zhihong Lu, Jiying Zhang, Yu Zhang, Zegang Li, Wanfu Yao, Yujiao Cheng

Abstract read
In one paragraph

Article 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

7 authors.

Sen HuangCitrus Research Institute, Southwest University, Chongqing 400712, China.
Zhihong LuCitrus Research Institute, Southwest University, Chongqing 400712, China.
Jiying ZhangCitrus Research Institute, Southwest University, Chongqing 400712, China.
Yu ZhangCollege of Food Science, Southwest University, Chongqing 400712, China.ORCID 0000-0002-2172-5540
Zegang LiPingshan County Fengshuo Agricultural Investment Co., Ltd., Yibin 645350, China.
Wanfu YaoYuxi Academy of Agricultural Sciences, Yuxi 653100, China.
Yujiao ChengCitrus Research Institute, Southwest University, Chongqing 400712, China.

Funding

China Agriculture Research System CARS-26Chongqing Technology Innovation and Application Development Special Project CSTB2024TIAD-LDX0008 & CSTB2025TIAD-QQZDQXXCZXBFFX0005
6 · The paper itself

Abstract

Fruit wines fermented from citrus fruits are highly popular worldwide. The flavor profiles of fruit wines (ELFW, SLFW, PLFW) fermented from three different varieties of lemons (Eureka lemon, ELFW; Sweet lemon, SLFW; and Perfume lemon, PLFW) were investigated by odor activity values combined with multivariate statistical analysis. Volatile compounds in fruit wines were qualitatively and quantitatively analyzed using solid-phase microextraction (SPME) coupled with gas chromatography-mass spectrometry (GC-MS) and multidimensional GC-MS (MDGC-MS). A total of 85 volatile compounds were identified across the samples, with ELFW containing the highest number (67), followed by SLFW (65) and PLFW (58). Alcohols (51.25-73.50%) dominated the volatiles, followed by hydrocarbons and esters. α-Terpineol, 4-terpineol, and d-limonene dominated ELFW, SLFW, and PLFW respectively. Forty-six characteristic flavor compounds were screened, and fenchol showed the highest OAVs. Using OPLS-DA combined with variable importance in projection (VIP), 17 key flavor markers were identified to distinguish flavor difference among three lemon cultivar-based fermented fruit wines.

Indexed as

flavor characteristicsGC–MSlemon-fermented fruit wineMDGC–MSmultivariate statistical analysis

Identifiers

PMID42650616
PMCPMC13512514

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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.