CRISPR/Cas12a-核酸等温扩增技术在食源性致病菌检测中的研究进展
Research advances of CRISPR/Cas12a-nucleic acid isothermal amplification technology in the detection of foodborne pathogens
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摘要: CRISPR/Cas12a基因编辑系统能够高效识别和切割外源核酸,推动基于核酸的新型食源性致病菌检测技术的创新与发展。基于CRISPR/Cas12a系统的检测机制,综述了其与环介导等温扩增(LAMP)、重组酶聚合酶等温扩增(RPA)、重组酶介导等温扩增(RAA)、滚环扩增(RCA)、杂交链式反应(HCR)、链置换扩增(SDA)及指数扩增反应(EXPAR)多种核酸等温扩增技术相结合用于食源性致病菌检测的研究进展。CRISPR/Cas12a与多种核酸等温扩增技术结合可实现对食源性致病菌的高特异性和高灵敏度的可视化检测,具有操作简便、速度快、无需复杂仪器设备等优点,但同时也存在试剂成本高、温度控制范围窄、操作相对复杂、引物设计要求高、标准化程度较低等缺陷。CRISPR/Cas12a与核酸等温扩增技术联用的未来发展方向主要集中在提升检测通量与准确性、自动化、一体化及基于智能手机和人工智能的检测平台建设,实现“样本进、结果出”的一锅法现场检测,为食源性致病菌更加高效、灵敏、简便、快捷的检测提供技术支持。
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关键词:
- 食源性致病菌 /
- CRISPR/Cas12a /
- 核酸等温扩增技术 /
- 基因检测
Abstract: The CRISPR/Cas12a gene editing system can efficiently recognize and cleave exogenous nucleic acids, thus driving the innovation and development of nucleic acid-based detection technologies for foodborne pathogens. This review summarizes the research progress on integrating CRISPR/Cas 12a-based detection with various isothermal amplification techniques, including loop-mediated isothermal amplification (LAMP), recombinase polymerase amplification (RPA), recombinase-mediated amplification (RAA), rolling circle amplification (RCA), hybridization chain reaction (HCR), strand displacement amplification (SDA), and exponential amplification reaction (EXPAR), for the detection of foodborne pathogens. The combination of CRISPR/Cas12a with various isothermal amplification techniques enables highly specific and sensitive visual detection of foodborne pathogens, offering advantages such as simple operation, rapidity, and no requirement for complex instrumentation, while still facing limitations including high reagent costs, narrow temperature control range, relatively complex procedures, stringent primer design requirements, and low standardization. Future directions for the integration of CRISPR/Cas12a with isothermal amplification techniques focus on improving detection throughput and accuracy, developing automated and integrated platforms, and leveraging smartphone-based and artificial intelligence-based systems, thereby enabling “sample-in, result-out” one-pot on-site detection and providing technical support for more efficient, sensitive, simple, and rapid detection of foodborne pathogens. -
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