() is a prevalent foodborne pathogen that poses significant challenges to food safety. Herein, a sensitive and specific electrochemical biosensor based on RPA-CRISPR/Cas12a is developed for evaluating . In the presence of , the extracted target DNA fragments are efficiently amplified by recombinase polymerase amplification (RPA). The designed crRNA, binding to Cas12a, effectively recognizes the target fragment cleaving hpDNA. The signal molecule of hpDNA is cleaved from the sensing interface, resulting in a reduction of current response. Under optimal experimental conditions, the developed electrochemical biosensor exhibits remarkable sensitivity in detecting . The linear range for quantifying in pure culture is 1.04 × 10-1.04 × 10 CFU/mL, with a detection limit as low as 3 CFU/mL. In addition, the biosensor enables the accurate and sensitive detection of in milk within a linear range of 1.07 × 10-1.07 × 10 CFU/mL. The electrochemical biosensor enhances anti-interference capability owing to the specific amplification of RPA primers and the single-base recognition ability of crRNA. The RPA-CRISPR/Cas12a biosensor exhibits exceptional anti-interference capability, precision, and sensitivity, thereby establishing a robust foundation for real-time monitoring of microbial contamination.
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http://dx.doi.org/10.1021/acs.jafc.4c07308 | DOI Listing |
ACS Sens
January 2025
Department of Engineering Physics, McMaster University, 1280 Main Street West, L8S 4L8 Hamilton, Ontario, Canada.
Current approaches for classifying biosensor data in diagnostics rely on fixed decision thresholds based on receiver operating characteristic (ROC) curves, which can be limited in accuracy for complex and variable signals. To address these limitations, we developed a framework that facilitates the application of machine learning (ML) to diagnostic data for the binary classification of clinical samples, when using real-time electrochemical measurements. The framework was applied to a real-time multimeric aptamer assay (RT-MAp) that captures single-frequency (12.
View Article and Find Full Text PDFChem Sci
January 2025
School of Chemistry and Materials Science, Jiangsu Normal University Xuzhou 221116 China
Reactive oxygen species (ROS) play a critical role in regulating various physiological processes. To gain a comprehensive understanding of their distinct functions in different physiological events, it is imperative to detect binary ROS simultaneously. However, the development of the sensing method capable of binary ROS detection remains a significant challenge.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China.
Electrochemical biosensors can provide an economical, accurate and rapid method for early screening of disease biomarkers in clinical medicine due to their high sensitivity, selectivity, portability, low cost and easy manufacturing, and multiplexing capability. Tear, a fluid naturally secreted by the human body, is not only easily accessible but also contains a great deal of biological information. However, no bibliometric studies focus on applying electrochemical sensors in tear/eye diseases.
View Article and Find Full Text PDFExtracell Vesicle
December 2024
Department of Chemical Engineering, University of Puerto Rico-Mayaguez, Route 108, Mayaguez, Puerto Rico, USA.
Matrix-bound vesicles (MBVs), an integral part of the extracellular matrix (ECM), are emerging as pivotal factors in ECM-driven molecular signaling. This study is the first to report the isolation of MBVs from porcine arterial endothelial cell basement membranes (A-MBVs) and thyroid cartilage (C-MBVs), the latter serving as a negative control due to its minimal vascular characteristics. Using Transmission Electron Microscopy (TEM), Nano-Tracking Analysis (NTA), Electrochemical Impedance Spectroscopy (EIS), and Atomic Force Microscopy (AFM), we orthogonally characterized the isolated MBVs.
View Article and Find Full Text PDFAnal Methods
January 2025
Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China.
Adenosine triphosphate (ATP) is crucial for cellular activity. The need for ATP detection in the field of biomedicine is rapidly increasing. Several biosensor-based approaches have been developed as a result of the growing demand for ATP detection.
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