School of Chemical Engineering, Sichuan University, Chengdu, Sichuan 610065, People's Republic of China.
West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, People's Republic of China.
J Agric Food Chem. 2024 Oct 2;72(39):21820-21828. doi: 10.1021/acs.jafc.4c05993. Epub 2024 Sep 19.
The prevalence of foodborne pathogenic bacteria, especially drug-resistant strains, such as , poses serious threats to public health, highlighting the requirement for the development of rapid and precise detection methods. Herein, a CRISPR/Cas12a-triggered visible-light-driven photoelectrochemical (PEC) assay (CasPEC) was developed using a SiO-quenched BiVO/MoS p/n-type heterojunction as the photoactive material. The CRISPR/Cas12a recognition endowed the CasPEC assay with high specificity capable of resolving single-nucleotide polymorphisms (SNPs) and identifying SNP-involved drug-resistant bacteria. SiO was linked to the surface of the BiVO/MoS heterojunction by single-stranded DNA (ssDNA), which would be cleaved by target-activated CRISPR/Cas12a. This cleavage of ssDNA resulted in the detachment of SiO, thereby achieving a "signal-on" PEC output. Leveraging the multiple-turnover CRISPR cleavage and the outstanding photoactive performance of PEC signaling, the CasPEC assay for showed a detection limit of 103 colony-forming units (CFU)/mL and the ability to detect as few as 0.01% drug-resistant strains. The CasPEC assay can accurately sense the contamination in complex food matrices, including beef and milk. These findings demonstrated the great potential of the CasPEC assay for detecting pathogenic bacterial contamination in food, particularly concerning food safety related to SNP-involved drug-resistant bacteria.
食源性致病菌(尤其是耐药菌株,如)的流行对公共健康构成了严重威胁,这凸显了开发快速、精准检测方法的必要性。在此,我们开发了一种基于 CRISPR/Cas12a 触发的可见光照驱动光电化学(PEC)分析方法(CasPEC),该方法使用 SiO 猝灭的 BiVO/MoS p/n 型异质结作为光活性材料。CRISPR/Cas12a 的识别赋予了 CasPEC 分析方法高度的特异性,能够分辨单核苷酸多态性(SNP)并鉴定 SNP 相关的耐药菌。SiO 通过单链 DNA(ssDNA)与 BiVO/MoS 异质结连接,而靶标激活的 CRISPR/Cas12a 会切割 ssDNA。ssDNA 的这种切割导致 SiO 的脱离,从而实现了“信号开启”的 PEC 输出。利用 CRISPR 切割的多轮循环和 PEC 信号的出色光活性性能,CasPEC 分析方法对 的检测限低至 103 菌落形成单位(CFU)/mL,并且能够检测到低至 0.01%的耐药菌株。CasPEC 分析方法能够准确检测复杂食品基质中的 污染,包括牛肉和牛奶。这些发现表明,CasPEC 分析方法在检测食品中的致病菌污染方面具有巨大的潜力,尤其是在涉及 SNP 相关耐药菌的食品安全方面。