Evidence map›Paper›PMID 40034981›Full record

ArticleFood chemistry: X2025

Comprehensive study of chemical and sensory profiles of hawthorn wines from China.

Xinyue Zhang, Yixin Chen, Jiani Liu, Yibin Lan, Xu Qian, Baoqing Zhu

Abstract read
In one paragraph

Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Effect of Wine Yeast (Foods (Basel, Switzerland) · 2025
    Article
  3. Article
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

6 authors.

Xinyue ZhangSchool of Biology and Food Engineering, Changshu Institute of Technology, Changshu 215500, China.
Yixin ChenDepartment of Food Science, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Jiani LiuDepartment of Food Science, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Yibin LanCenter for Viticulture & Enology, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Xu QianSchool of Biology and Food Engineering, Changshu Institute of Technology, Changshu 215500, China.
Baoqing ZhuDepartment of Food Science, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hawthorn wine has gained increasing popularity in China, but comprehensive research on its sensory and chemical characteristics is still limited. This study established a sensory lexicon using Pivot Profile to describe and differentiate Chinese hawthorn wines. Based on the sensory data, 13 hawthorn wines presented three different styles, namely 'Sweet', 'Fruity' and 'Alcohol'. A total of 129 volatile compounds were identified and quantified in all hawthorn wines using headspace solid-phase microextraction (HS-SPME) combined with both gas chromatography-Orbitrap mass spectrometry (GC-Orbitrap-MS) and gas chromatography-Quadrupole mass spectrometry (GC-Quadrupole-MS). Partial least-squares regression revealed that 'sweet', 'hawthorn', and 'honey' attributes were positively correlated with several terpenes, volatile phenols, lactones, ethyl cinnamate, nonanal and phenylacetaldehyde, as well as sugar content, while negatively correlated with alcohol content. Furthermore, a salting-out effect of certain terpenes and volatile phenols was observed with increasing sucrose concentration, potentially enhancing the perceived intensity of these above attributes.

Indexed as

GC-Orbitrap-MSHawthorn winePivot profilePLS regressionSensory lexicon

Identifiers

PMID40034981
PMCPMC11872626

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.