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2024 |
Automatic Microfluidic Harmonized RAA-CRISPR Diagnostic System for Rapid and Accurate Identification of Bacterial Respiratory Tract Infections |
Xinran Xiang,Xiaoqing Ren,Qianyu Wen,Gaowa Xing,Yuting Liu,Xiaowei Xu,Yuhuan Wei,Yuhan Ji,Tingting Liu,Huwei Song,Shenghang Zhang,Yuting Shang,Minghui Song |
Analytical Chemistry |
38595038 |
10.1021/acs.analchem.3c05682 |
Automatic Microfluidic Harmonized RAA-CRISPR Diagnostic System for Rapid and Accurate Identification of Bacterial Respiratory Tract Infections
Author(s):
Xinran Xiang,Xiaoqing Ren,Qianyu Wen,Gaowa Xing,Yuting Liu,Xiaowei Xu,Yuhuan Wei,Yuhan Ji,Tingting Liu,Huwei Song,Shenghang Zhang,Yuting Shang,Minghui Song
Journal:
Analytical Chemistry
Year:
2024
Abstract:
Respiratory tract infections (RTIs) pose a grave threat to human health, with bacterial pathogens being the primary culprits behind severe illness and mortality. In response to the pressing issue, we developed a centrifugal microfluidic chip integrated with a recombinase-aided amplification (RAA)-clustered regularly interspaced short palindromic repeats (CRISPR) system to achieve rapid detection of respiratory pathogens. The limitations of conventional two-step CRISPR-mediated systems were effectively addressed by employing the all-in-one RAA-CRISPR detection method, thereby enhancing the accuracy and sensitivity of bacterial detection. Moreover, the integration of a centrifugal microfluidic chip led to reduced sample consumption and significantly improved the detection throughput, enabling the simultaneous detection of multiple respiratory pathogens. Furthermore, the incorporation of Chelex-100 in the sample pretreatment enabled a sample-to-answer capability. This pivotal addition facilitated the deployment of the system in real clinical sample testing, enabling the accurate detection of 12 common respiratory bacteria within a set of 60 clinical samples. The system offers rapid and reliable results that are crucial for clinical diagnosis, enabling healthcare professionals to administer timely and accurate treatment interventions to patients.
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