Evidence map›Paper›PMID 40941244›Full record

ArticleFoods (Basel, Switzerland)2025

Development of Fermented Peach-Apricot Mixed Juice and Study of Its Storage Stability.

Shun Lv, Yao Zhao, Zeping Yang, Xiaolu Liu, Ruoqing Liu, Mingshan Lv, Liang Wang

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. 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.

Shun LvDepartment of Pharmaceutical Science, The Open University of Xinjiang, Urumqi 830063, China.
Yao ZhaoCollege of Smart Agriculture (Research Institute), Xinjiang University, Urumqi 830017, China.
Zeping YangCollege of Smart Agriculture (Research Institute), Xinjiang University, Urumqi 830017, China.
Xiaolu LiuCollege of Life Science and Technology, Xinjiang University, Urumqi 830017, China.
Ruoqing LiuCollege of Life Science and Technology, Xinjiang University, Urumqi 830017, China.
Mingshan LvCollege of Life Science and Technology, Xinjiang University, Urumqi 830017, China.
Liang WangCollege of Life Science and Technology, Xinjiang University, Urumqi 830017, China.

Funding

Research on Key Technologies for Refined Deep Processing of Xinjiang characteristic agricultural subsidiary products 2022B02026-3
6 · The paper itself

Abstract

To address the challenge of postharvest spoilage in flat peaches and white apricots, we developed fermented peach-apricot mixed juice (PAMJ) using these fruits as raw materials through multi-strain synergistic fermentation. Its fermentation processes were optimised through uniform design and single-factor experiments. The flavour characteristics of PAMJ were analysed using an electronic nose, an electronic tongue, gas chromatography-mass spectrometry (GC-MS) and sensory evaluation indices. PAMJ demonstrated optimal performance in terms of peach-apricot flavour profile, sweetness-sourness balance, and overall acceptability, achieving the highest sensory scores. Additionally, GC-MS analysis identified 116 volatile organic compounds, with PAMJ exhibiting the highest contents of terpenes and ketones. PAMJ was identified as the optimal fermentation matrix. Subsequently, response surface methodology was used to optimise its fermentation parameters. PAMJ represented a post-mixing fermentation system wherein peaches and apricots were initially mixed and subsequently fermented with a bacterial consortium comprising

Indexed as

fermentation process optimisationfermented mixed juiceflavour characteristicslactic acid bacteria fermentation

Identifiers

PMID40941244
PMCPMC12428725

What OpenQuestion holds

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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.