Evidence map›Paper›PMID 42332373›Full record

ArticleBiochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology

A CURE for Microbiology Experiment: Isolation and Characterization of Antimicrobial-Producing Lactic Acid Bacteria From Fermented Sichuan Pickle Against Pathogenic Bacteria.

Lijun Wang, Zhenni Yu

Abstract read
In one paragraph

Article in Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

2 authors.

Lijun WangSchool of Food and Bioengineering, Xihua University, Chengdu, China.ORCID https://orcid.org/0000-0002-5260-2092
Zhenni YuSchool of Food and Bioengineering, Xihua University, Chengdu, China.

Funding

Xihua University xjjg2025100
6 · The paper itself

Abstract

Traditional microbiology experimental teaching methodology, often based on rigid "cookbook" experiment plans, fails to meet the growing need to cultivate skilled and innovative individuals. Course-based undergraduate research experiences (CUREs) provide a solution by integrating research-based learning into the curriculum, offering an opportunity to improve the "hard" and "soft" skills for science, technology, engineering, and mathematics (STEM) students. In this study, a CURE was incorporated into the microbiology experiment curriculum focusing on the isolation and characterization of antimicrobial-producing lactic acid bacteria (LAB) from fermented Sichuan pickles. The CURE was divided into four key sections: (i) designing an experimental plan, (ii) isolation of LAB, (iii) evaluating the antibacterial effects and antibacterial active substances of LAB, and (iv) identifying LAB species and completing the experimental report. Through a tutor observation of the experiment process and a student questionnaire survey, the study demonstrated that CURE-based microbiology experiments significantly improved students' laboratory skills and microbiological-related experimental operation ability and nurtured their scientific thinking. This approach enhances students' preparedness for future career success and cultivates the growth of a well-rounded, skilled person in STEM disciplines.

Indexed as

Anti-Bacterial AgentsFermented FoodsFood MicrobiologyLactobacillalesMicrobiologyAcademiaCurriculumFermentationHumansAnti-Bacterial Agentsantimicrobial activitycourse‐based undergraduate research experienceslactic acid bacteriamicrobiology experiment

Identifiers

PMID42332373
PMCPMC13418839

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.