Evidence map›Paper›PMID 41417637›Full record

ArticleMicrobial biotechnology2025

Detection of Spoilage-Associated Acetic Acid Levels Using a Transcription-Based Whole-Cell Biosensor.

Yulia Melnik Kesler, Igor Kviatkovski, Neta Rotem, Alex Brandis, Oded Shoseyov, Tali Yarnitzky, Yael Helman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial 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. Review
  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

7 authors.

Yulia Melnik KeslerThe Institute of Environmental Sciences (IES), Department of Plant Pathology and Microbiology, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
Igor KviatkovskiThe Institute of Environmental Sciences (IES), Department of Plant Pathology and Microbiology, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
Neta RotemThe Institute of Environmental Sciences (IES), Department of Plant Pathology and Microbiology, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
Alex BrandisTevie Mehlman, Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel.
Oded ShoseyovThe Institute of Plant Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
Tali YarnitzkyScientific Consulting, Modi'in-Macabim-Reut, Israel.
Yael HelmanThe Institute of Environmental Sciences (IES), Department of Plant Pathology and Microbiology, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.ORCID 0000-0003-0383-2809

Funding

Israel Innovation Authority 64948
6 · The paper itself

Abstract

Monitoring acetic acid (AC) in fermentation processes is essential as excessive AC accumulation, particularly during alcoholic fermentation, can disrupt fermentation and lead to spoilage. However, conventional detection methods such as steam distillation, GC-MS, and HPLC are costly, time-consuming, and require liquid-phase samples, limiting their use for real-time monitoring and early identification of AC buildup. Here, we present an alternative tool for AC detection using a whole-cell bacterial biosensor, which utilises the YwbIR transcriptional regulator from Bacillus subtilis . The designed biosensor exhibits high sensitivity, manifesting a linear response with (R

Indexed as

Acetic AcidBacillus subtilisBiosensing TechniquesFermentationTranscription FactorsWineAcetic AcidTranscription Factors

Identifiers

PMID41417637
PMCPMC12716437

What OpenQuestion holds

Textmetadata
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.