Self-Interference Digital Optofluidic Genotyping for Integrated and Automated Label-Free Pathogen Detection

Tianqi Zhou, Rongxin Fu*, Jialu Hou, Fan Yang, Fengli Chai, Zeyin Mao, Anni Deng, Fenggang Li, Yanfang Guan, Hanqi Hu, Hang Li, Yao Lu, Guoliang Huang, Shuailong Zhang*, Huikai Xie

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

Pathogen, prevalent in both natural and human environments, cause approximately 4.95 million deaths annually, ranking them among the top contributors to global mortality. Traditional pathogen detection methods, reliant on microscopy and cultivation, are slow and labor-intensive and often produce subjective results. While nucleic acid amplification techniques such as polymerase chain reaction offer genetic accuracy, they necessitate costly laboratory equipment and skilled personnel. Consequently, isothermal amplification methods like recombinase polymerase amplification (RPA) have attracted interest for their rapid and straightforward operations. However, these methods face challenges in specificity and automated sample processing. In this study, we introduce a self-interferometric digital optofluidic platform incorporating asymmetric direct solid-phase RPA for real-time, label-free, and automated pathogen genotyping. By integration of digital microfluidics with a DNA monolayer detection method using hyperspectral interferometry, this platform enables rapid, specific, and sensitive pathogen detection without the need for exogenous labeling or complex procedures. The system demonstrated high sensitivity (10 CFU·mL-1), specificity (differentiating four Candida species), detection efficiency (fully automated within 50 min for Gram-negative bacteria), and throughput (simultaneous detection of four indices). This integrated approach to pathogen quantitation on a single microfluidic chip represents a significant advancement in rapid pathogen diagnostics, providing a practical solution for timely pathogen detection and analysis.

源语言英语
页(从-至)6411-6420
页数10
期刊ACS Sensors
9
12
DOI
出版状态已出版 - 27 12月 2024

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Zhou, T., Fu, R., Hou, J., Yang, F., Chai, F., Mao, Z., Deng, A., Li, F., Guan, Y., Hu, H., Li, H., Lu, Y., Huang, G., Zhang, S., & Xie, H. (2024). Self-Interference Digital Optofluidic Genotyping for Integrated and Automated Label-Free Pathogen Detection. ACS Sensors, 9(12), 6411-6420. https://doi.org/10.1021/acssensors.4c01520