2026-10-06T09:45:06Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34022289 2026-09-29T10:25:44Z category_25078 item_type_3 month_year_09_2026

<b>A machine learning-assisted electrochemical biosensor using MCDA-CRISPR/Cas12a for ultrasensitive detection of toxigenic</b><b><i> Clostridioides difficile</i></b> Yulei Tai (21810713) Xinyang Bao (25136409) Xinyue Chen (25136412) Yunhan Cai (25136415) Hongrui Chen (25136418) Hui Hu (25136427) Xiaojun Song (25136428) Yuanyuan Zhang (19023600) Tingting Liu (25136433) Kun Zhu (25136438) Lei Zhang (25136450) Yun Luo (25136453) Yu Chen (25136465) Dazhi Jin* (20676958) Electroanalytical chemistry Clostridioides difficile CRISPR/Cas12a Electrochemical biosensor Machine learning TcdB Detection <p dir="ltr">Clostridioides difficile is a leading cause of antibiotic-associated diarrhea globally, creating urgent demand for rapid, ultra-sensitive detection of toxigenic strains. Here, we present an electrochemical biosensor integrating CRISPR/Cas12a with multiple cross-displacement amplification (MCDA-E-CRISPR), coupled with machine-learning-driven signal processing to detect the C. difficile tcdB gene. </p> 2026-09-29T10:25:44Z Dataset Dataset 10.6084/m9.figshare.34022289.v1 https://figshare.com/articles/dataset/_b_A_machine_learning-assisted_electrochemical_biosensor_using_MCDA-CRISPR_Cas12a_for_ultrasensitive_detection_of_toxigenic_b_b_i_Clostridioides_difficile_i_b_/34022289 CC BY 4.0