A CRISPR-assisted passive microfluidic chip for rapid, visual detection of multiple respiratory viruses

In recent years, viral co-infections, particularly with respiratory viruses, have resulted in more complex symptoms, a greater disease burden, and increased challenges in clinical decision-making. These complexities underscore the urgent need for improved diagnostic tools in the managing acute respiratory infections. To address the limitations of conventional qPCR and current POCT methodologies, we developed a passively driven microfluidic chip capable of rapidly screening multiple respiratory viruses. This platform is particularly suited for the point-of-care diagnosis of viral co-infections. Our device integrates nucleic acid amplification and CRISPR-based detection within a single, passively operated system. By utilizing a rapid, 10-minute sample preparation protocol and a 35-minute on-chip assay, this platform enables the multiplex detection of influenza A/B, human parainfluenza virus, and SARS-CoV-2. The total assay time from sample to answer is approximately 45 min, with equipment requirements minimized to a heating block. The assay demonstrated a detection sensitivity of about 10 copies/µL for viral RNA in dilution series experiments. The sensitivity of the assay was 98.44% (95% CI: 91.6%-99.96%), and the specificity was 100% (95% CI: 79.4%-100%). The system combines CRISPR-Cas12a-mediated sensing with reverse transcription recombinase polymerase amplification (RPA) for highly specific nucleic acid detection. The chip design utilizes capillary action and gravity-driven flow for autonomous fluid control, while lyophilized reagent preloading ensures storage stability and minimizes user intervention.

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Publication Details

Journal
Scientific Reports
Published
2025-12-24
DOI
https://doi.org/10.1038/s41598-025-31658-y
Primary Topic
Biosensors and Analytical Detection
Type
article
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article

A CRISPR-assisted passive microfluidic chip for rapid, visual detection of multiple respiratory viruses

Xiaoyi Li, Zhongjian Xie, Jianxin Guo, Yonghui Wu et al.
Scientific Reports
Biosensors and Analytical Detection
article

A CRISPR-assisted passive microfluidic chip for rapid, visual detection of multiple respiratory viruses

Xiaoyi Li, Zhongjian Xie, Jianxin Guo, Yonghui Wu, Defa Li, Huifeng Yang
article en

Abstract

In recent years, viral co-infections, particularly with respiratory viruses, have resulted in more complex symptoms, a greater disease burden, and increased challenges in clinical decision-making. These complexities underscore the urgent need for improved diagnostic tools in the managing acute respiratory infections. To address the limitations of conventional qPCR and current POCT methodologies, we developed a passively driven microfluidic chip capable of rapidly screening multiple respiratory viruses. This platform is particularly suited for the point-of-care diagnosis of viral co-infections. Our device integrates nucleic acid amplification and CRISPR-based detection within a single, passively operated system. By utilizing a rapid, 10-minute sample preparation protocol and a 35-minute on-chip assay, this platform enables the multiplex detection of influenza A/B, human parainfluenza virus, and SARS-CoV-2. The total assay time from sample to answer is approximately 45 min, with equipment requirements minimized to a heating block. The assay demonstrated a detection sensitivity of about 10 copies/µL for viral RNA in dilution series experiments. The sensitivity of the assay was 98.44% (95% CI: 91.6%-99.96%), and the specificity was 100% (95% CI: 79.4%-100%). The system combines CRISPR-Cas12a-mediated sensing with reverse transcription recombinase polymerase amplification (RPA) for highly specific nucleic acid detection. The chip design utilizes capillary action and gravity-driven flow for autonomous fluid control, while lyophilized reagent preloading ensures storage stability and minimizes user intervention.

Scientific ReportsVol. 16(1)
Beike Biotechnology (China) (CN), Shenzhen Children's Hospital (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 42%
Biosensors and Analytical Detection
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