Automated Microchannel Resistance Readout of Immunorecognition via Programmable Nuclease Mediation for On-Site Biosensing

Achieving fully automated transduction and signal amplification of small molecule target recognition events into ultrasensitive, detectable electrical signals remains challenging, owing to the need for seamless integration of cascade biochemical reactions. Here, we present an integrated and portable biosensing platform that couples immunorecognition with programmable nuclease-mediated electrical transduction, in which sequential current pulse signals generated by multiple microspheres flowing through the microchannel are recorded and quantified. In this assay, target competes with an antigen-guide DNA conjugate for antibody binding, and the residual guide DNA activates <i>Clostridium butyricum</i> Argonaute (CbAgo) to cleave biotinylated target DNA on magnetic nanoparticles. This cleavage modulates the ability of magnetic nanoparticles to capture polystyrene microspheres, and the resulting change in microsphere concentration is directly quantified as a microchannel resistance variation, enabling amplification-free, quantitative detection. This streamlined architecture minimizes manual processing and supports field deployment. As proof of concept, the platform achieved on-site detection of enrofloxacin in milk with a limit of detection of 4.59 pg/mL. The integration of immunological specificity, programmable nuclease catalysis, and portable electrical readout establishes a generalizable framework for automated, point-of-need biosensing of diverse small molecules and biomarkers.

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Publication Details

Journal
Analytical Chemistry
Published
2025-10-19
DOI
https://doi.org/10.1021/acs.analchem.5c05142
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
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article

Automated Microchannel Resistance Readout of Immunorecognition via Programmable Nuclease Mediation for On-Site Biosensing

Y. X. Feng, Liping Pan, Peng Lu, Chen Zhan et al.
Analytical Chemistry
CRISPR and Genetic Engineering
article

Automated Microchannel Resistance Readout of Immunorecognition via Programmable Nuclease Mediation for On-Site Biosensing

Y. X. Feng, Liping Pan, Peng Lu, Chen Zhan, Yiping Chen, Chunling Li, Wenshu Zheng
article en

Abstract

Achieving fully automated transduction and signal amplification of small molecule target recognition events into ultrasensitive, detectable electrical signals remains challenging, owing to the need for seamless integration of cascade biochemical reactions. Here, we present an integrated and portable biosensing platform that couples immunorecognition with programmable nuclease-mediated electrical transduction, in which sequential current pulse signals generated by multiple microspheres flowing through the microchannel are recorded and quantified. In this assay, target competes with an antigen-guide DNA conjugate for antibody binding, and the residual guide DNA activates <i>Clostridium butyricum</i> Argonaute (CbAgo) to cleave biotinylated target DNA on magnetic nanoparticles. This cleavage modulates the ability of magnetic nanoparticles to capture polystyrene microspheres, and the resulting change in microsphere concentration is directly quantified as a microchannel resistance variation, enabling amplification-free, quantitative detection. This streamlined architecture minimizes manual processing and supports field deployment. As proof of concept, the platform achieved on-site detection of enrofloxacin in milk with a limit of detection of 4.59 pg/mL. The integration of immunological specificity, programmable nuclease catalysis, and portable electrical readout establishes a generalizable framework for automated, point-of-need biosensing of diverse small molecules and biomarkers.

Analytical ChemistryVol. 97(42)
Huazhong Agricultural University (CN), Ningbo Product Quality Supervision and Inspection Institute (CN), National Center for Nanoscience and Technology (CN), Institute of Informatics of the Slovak Academy of Sciences (SK), Shenzhen Third People’s Hospital (CN), Dalian Polytechnic University (CN)
Openalex Percentile: Top 74%
CRISPR and Genetic Engineering
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