Weihong Yin, Kai Hu, Yunxing Yang, Jianjian Zhuang, Zheyu Zou, Yuanjie Suo, Liping Xia, Jiale Li, Yehong Gui, Haohua Mei, Juxin Yin, Tao Zhang, Ying Mu
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引用次数: 0
Abstract
Escherichia coli O157:H7 (E. coli O157:H7) is a prominent pathogenic bacterium that poses serious risks to food safety and public health. Rapid and accurate detection of live E. coli O157:H7 is of great importance in food quality monitoring and clinical diagnosis. Here, we report a propidium monoazide-assisted nonamplification digital CRISPR/Cas12a assay for sensitive and rapid detection of live E. coli O157:H7. The incorporation of propidium monoazide into the method enables the selective detection of live bacteria by eliminating 98% of interference from the dead bacterial nucleic acid. Implemented on microfluidic digital chips, this method can achieve absolute quantification of nonamplified nucleic acid. The entire detection process of live bacteria can be completed within 120 min without the need for establishing a standard curve, and the sensitivity of the method reaches 1.2 × 103 CFU/mL. The method was validated using various samples, yielding results consistent with the plate counting method (Pearson's r = 0.9490). Consequently, this method holds significant potential for applications in fields requiring live bacterial detection.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.