Evidence map›Paper›PMID 41674568›Full record

ArticleiMetaOmics2025

A portable device for probiotic counting and viability assessment based on microfluidic chip and image recognition.

Xiaoyun Sun, Juan Zhang, Jiaci Chen, Longrui Yang, Xiangyi Pang, Xi Chen, Yanjing Chen, Yan Zhang, Ailiang Chen

Abstract read
In one paragraph

Article in iMetaOmics, 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

9 authors.

Xiaoyun SunState Key Laboratory for Quality and Safety of Agro-Products Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences Beijing China.
Juan ZhangState Key Laboratory for Quality and Safety of Agro-Products Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences Beijing China.
Jiaci ChenState Key Laboratory for Quality and Safety of Agro-Products Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences Beijing China.
Longrui YangState Key Laboratory for Quality and Safety of Agro-Products Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences Beijing China.
Xiangyi PangState Key Laboratory for Quality and Safety of Agro-Products Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences Beijing China.
Xi ChenState Key Laboratory for Quality and Safety of Agro-Products Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences Beijing China.
Yanjing ChenCapital University of Physical Education and Sports Beijing China.
Yan ZhangCapital University of Physical Education and Sports Beijing China.
Ailiang ChenState Key Laboratory for Quality and Safety of Agro-Products Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences Beijing China.ORCID https://orcid.org/0000-0003-2203-2823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Probiotics play a critical role in maintaining or improving gut microbiome balance, offering numerous health benefits. Therefore, the accurate quantification of viable probiotics is essential for ensuring the efficacy of probiotic products. However, traditional culture-based methods are cumbersome and time-intensive, limiting their applications in scenarios requiring real-time decisions. Here, we report a portable, cost-effective system (approximately $2 per test, including reagents and one-time microfluidic chip usage) that enables rapid (3 min) on-site quantification of viable probiotics through a microfluidic chip integrated with a fluorescent biosensor and advanced image recognition technology. The system's reliability and accuracy were validated by comparison with the standard flow cytometry and plate counting, with results showing no significant differences in viable probiotics numbers. Furthermore, the platform demonstrated excellent specificity in distinguishing dead probiotics from viable ones with a large quantification range of 10

Indexed as

fluorescent biosensormicrofluidic image recognitionprecision quantificationprobioticsrapid on‐site testingviability differentiation

Identifiers

PMID41674568
PMCPMC12806062

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.