Evidence map›Paper›PMID 39493334›Full record

ArticleSynthetic and systems biotechnology2025

Assessing the physiological properties of baker's yeast based on single-cell Raman spectrum technology.

Xi Sun, Xin Zhou, Ran Yu, Xiaofang Zhou, Jun Zhang, Teng Xu, Jianmei Wang, Mengqi Li, Xiaoting Li, Min Zhang and 2 more

Abstract read
In one paragraph

Article in Synthetic and systems biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Xi SunCollege of Food Science and Bioengineering, Tianjin Agricultural University, Tianjin, 300384, China.
Xin ZhouCollege of Food Science and Bioengineering, Tianjin Agricultural University, Tianjin, 300384, China.
Ran YuSino-French Joint-Venture Dynasty Winery LTD., Tianjin, 300402, China.
Xiaofang ZhouSino-French Joint-Venture Dynasty Winery LTD., Tianjin, 300402, China.
Jun ZhangCollege of Food Science and Bioengineering, Tianjin Agricultural University, Tianjin, 300384, China.
Teng XuSingle-Cell Center, Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101, China.
Jianmei WangSingle-Cell Center, Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101, China.
Mengqi LiCollege of Food Science and Bioengineering, Tianjin Agricultural University, Tianjin, 300384, China.
Xiaoting LiCollege of Food Science and Bioengineering, Tianjin Agricultural University, Tianjin, 300384, China.
Min ZhangCollege of Food Science and Bioengineering, Tianjin Agricultural University, Tianjin, 300384, China.
Jian XuSingle-Cell Center, Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101, China.
Jia ZhangSingle-Cell Center, Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With rapid progress in the yeast fermentation industry, a comprehensive commercial yeast quality assessment approach integrating efficiency, accuracy, sensitivity, and cost-effectiveness is required. In this study, a new yeast quality assessment method based on single-cell Raman technology was developed and contrasted with traditional methods. The findings demonstrated significant associations (Pearson correlation coefficient of 0.933 on average) between the two methods in measuring physiological indicators, including cell viability and intracellular trehalose content, demonstrating the credibility of the Raman method compared to the traditional method. Furthermore, the sensitivity of the Raman method in viable but non-culturable cells was higher in measuring yeast cell viability (17.9 % more sensitive). According to the accurate quantitative analysis of metabolic activity level (MAL) of yeast cells, the cell vitality was accurately quantified at population and single-cell levels, offering a more comprehensive assessment of yeast fermentation performance. Overall, the single-cell Raman method integrates credibility, feasibility, accuracy, and sensitivity in yeast quality assessment, offering a new technological framework for quality assessments of live-cell yeast products.

Indexed as

Baker's yeastIntracellular trehalose contentQuality assessmentSingle-cell Raman technologyViabilityVitality

Identifiers

PMID39493334
PMCPMC11530575

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.