Evidence map›Paper›PMID 38483645›Full record

ArticleArchives of microbiology2024

Investigation on screening, identification, and fermentation characteristics of Yunnan olive in the fermented liquid utilizing five strains of Saccharomyces cerevisiae.

Junming Long, Jian Cai, Xiu Gao, Yu-Chen Wang, Xian-Min Huang, Ling Zhu

Abstract read
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In one paragraph

Article in Archives of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. The Response Characteristics of OneJournal of fungi (Basel, Switzerland) · 2025
    Article
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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.

Junming LongYunnan Engineering Research Center of Fruit Wine, Qujing Normal University, Qujing, 655011, People's Republic of China.
Jian CaiYunnan Engineering Research Center of Fruit Wine, Qujing Normal University, Qujing, 655011, People's Republic of China.
Xiu GaoYunnan Engineering Research Center of Fruit Wine, Qujing Normal University, Qujing, 655011, People's Republic of China.
Yu-Chen WangSchool of Chemical Biology and Environment, Yuxi Normal University, Yuxi, 653100, People's Republic of China.
Xian-Min HuangSchool of Agronomy and Life Sciences, Zhaotong University, Zhaotong, 657000, People's Republic of China.
Ling ZhuYunnan Engineering Research Center of Fruit Wine, Qujing Normal University, Qujing, 655011, People's Republic of China. lingzhu2021@mail.qjnu.edu.cn.

Funding

College student innovation and entrepreneurship project G202310684009Special Basic Cooperative Research Innovation Programs of Qujing Science and Technology Bureau & Qujing Normal University KJLH2022YB07Special Basic Cooperative Research Programs of Yunnan Provincial Undergraduate Universities' Association 202301BA070001-081Yunnan Fundamental Research Projects 202301AU070012
6 · The paper itself

Abstract

Refined indigenous Saccharomyces cerevisiae can enhance refinement, sophistication, and subtlety of fruit wines by showcasing exceptional regional characteristics. In order to identify exceptional indigenous S. cerevisiae strains from Yunnan olive, this study isolated 60 yeast strains from wild Yunnan olive fermentation mash. The five S. cerevisiae strains were subjected to morphological and molecular biological identification, followed by evaluation of their fermentation performance, ethanol production capacity, ester production capacity, H

Indexed as

OleaWineChinaEstersEthanolFermentationSaccharomyces cerevisiaeEstersEthanolCharacteristicsFermentationSaccharomyces cerevisiaeToleranceYunnan olive

Identifiers

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.