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Contamination-free V-shaped ultrafast reaction cascade transferase signal amplification driven CRISPR/Cas12a magnetic relaxation switching biosensor for bacteria detection by Junping Wen; Liangqiong Ren; Qifu He; Junwang Bao; Xiuwen Zhang; Zhixiong Pi; Yiping Chen is a Engineering article available to read on EtoBox.
What is Contamination-free V-shaped ultrafast reaction cascade transferase signal amplification driven CRISPR/Cas12a magnetic relaxation switching biosensor for bacteria detection about?
Foodborne pathogenic bacteria seriously endanger human health and must be rapidly identified for control. Magnetic relaxation switching biosensors (MRS) are ideal for rapid bacteria detection due to their high signal-to-noise ratio and immunity to sample matrix signal interference. However, conventional MRS still has some challenges in terms of sensitivity, specificity, and stability due to insufficient cross-linking or non-specific binding of magnetic nanoparticles (MNPs) to the target. To address these challenges, we firstly proposed a novel contamination-free uracil-DNA glycosylase (UDG) assisted V-shaped PCR driven CRISPR/Cas12a-MRS (UPC-MRS) biosensor, which combines contamination-free ultrafast nucleic acid amplification and powerful CRISPR/Cas12a system. It has an extremely specific quadruple signal guarantee realized by the merits of UDG anti-contamination, PCR primer specificity matching, the CRISPR/Cas12a system's precise recognition abilities, and magnetic probe signal unaffected by the sample matrix. As a cascade combined with original terminal deoxynucleotidyl transferase (Tdt)-mediated signal amplification technology, this platform can achieve Salmonella detection at
Who reads Contamination-free V-shaped ultrafast reaction cascade transferase signal amplification driven CRISPR/Cas12a magnetic relaxation switching biosensor for bacteria detection?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Junping Wen; Liangqiong Ren; Qifu He; Junwang Bao; Xiuwen Zhang; Zhixiong Pi; Yiping Chen
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Engineering (Physical Sciences)