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

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<sup>7</sup>-10<sup>11</sup> colony-forming units (CFU) mL<sup>-1</sup>, which encompasses the concentration range of commonly encountered probiotics, thereby meeting practical detection requirements. In summary, this portable system offers an innovative solution for rapid, on-site identification, and precise quantification of live and dead probiotics. Given these attributes, the system demonstrates significant commercial potential, particularly in situations requiring immediate results and efficient decision-making.

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Publication Details

Journal
iMetaOmics.
Published
2025-08-03
DOI
https://doi.org/10.1002/imo2.70045
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Ailiang Chen, Xiaoyun Sun, Yan Zhang, Yanjing Chen et al.
iMetaOmics.
Biosensors and Analytical Detection
article

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

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

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<sup>7</sup>-10<sup>11</sup> colony-forming units (CFU) mL<sup>-1</sup>, which encompasses the concentration range of commonly encountered probiotics, thereby meeting practical detection requirements. In summary, this portable system offers an innovative solution for rapid, on-site identification, and precise quantification of live and dead probiotics. Given these attributes, the system demonstrates significant commercial potential, particularly in situations requiring immediate results and efficient decision-making.

iMetaOmics.Vol. 2(3)
Institute of Quality Standards and Testing Technology for Agro Products (CN), Capital University of Physical Education and Sports (CN)
Chinese Academy of Agricultural Sciences, Agricultural Science and Technology Innovation Program
Openalex Percentile: Top 82%
Biosensors and Analytical Detection
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