Application of pre-amplification-based CRISPR-Cas nanostructured biosensors for bacterial detection

被引:0
|
作者
Zhang, Hehua [1 ]
Xie, Li [2 ]
Gao, Hongmin [1 ]
Pan, Hongzhi [3 ]
机构
[1] Shanghai Univ Med & Hlth Sci, Collaborat Res Ctr, Shanghai, Peoples R China
[2] Shanghai Dianji Univ, Foreign Language Sch, Shanghai, Peoples R China
[3] Shanghai Univ Med & Hlth Sci, Affiliated Zhoupu Hosp, 279 Zhouzhu RD, Shanghai 201318, Peoples R China
关键词
Bacteria; CRISPR-Cas; nanostructured biosensor; fluorescence; electrochemistry; microfluidics; NUCLEIC-ACID DETECTION; OF-CARE DIAGNOSTICS; RAPID DETECTION; THERAPEUTICS;
D O I
10.1080/17435889.2025.2476384
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Bacterial infections are one of the primary triggers of global disease outbreaks. Traditional detection methods, such as bacterial culture and PCR, while reliable, are limited by their time-consuming procedures and operational complexity. In recent years, the CRISPR-Cas system has demonstrated significant potential in gene editing and diagnostics due to its high specificity and precision, offering innovative solutions for bacterial detection. By integrating pre-amplification techniques, the CRISPR-Cas system has substantially enhanced detection sensitivity, particularly excelling in detecting low-concentration target bacteria. This review summarizes the principles and application examples of CRISPR-Cas-based fluorescence, electrochemical, lateral flow, and colorimetric nanostructured biosensors developed over the past three years, categorizing them according to their recognition methods (e.g. bacterial genomes, aptamers, antibodies). It systematically explores the broad application prospects of these sensors in medical diagnostics, environmental monitoring, and food safety assessment. Additionally, this review discusses future research directions and potential development prospects, providing new insights and technical support for the rapid diagnosis and treatment of bacterial infections.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] The application of CRISPR-Cas in disease diagnosis and treatment
    Zhiying Wang
    Yin Liu
    Fuling Zhou
    Yafen Wang
    Xiang Zhou
    Science China(Chemistry), 2023, 66 (10) : 2734 - 2742
  • [22] CRISPR-Cas: the bacterial immunity that supports diagnostic in virology
    Mayran, Charly
    Henry, Steven
    Fournier-Wirth, Chantal
    Cantaloube, Jean Francois
    Foulongne, Vincent
    VIROLOGIE, 2022, 26 (04) : 303 - 313
  • [23] Harnessing CRISPR-Cas systems for bacterial genome editing
    Selle, Kurt
    Barrangou, Rodolphe
    TRENDS IN MICROBIOLOGY, 2015, 23 (04) : 225 - 232
  • [24] CRISPR-Cas System for RNA Detection and Imaging
    Chen Siyu
    Wang Rujia
    Lei Chunyang
    Nie Zhou
    CHEMICAL RESEARCH IN CHINESE UNIVERSITIES, 2020, 36 (02) : 157 - 163
  • [25] CRISPR-Cas technology for rapid detection of pathogens
    Daneshgar, Hossein
    Safarkhani, Moein
    Sojdeh, Soheil
    Bagherzadeh, Mojtaba
    Rabiee, Navid
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2025, 185
  • [26] Novel nucleic acid detection strategies based on CRISPR-Cas systems: From construction to application
    Zhu, Chu-shu
    Liu, Chuan-yang
    Qiu, Xin-yuan
    Xie, Si-si
    Li, Wen-ying
    Zhu, Lingyun
    Zhu, Lv-yun
    BIOTECHNOLOGY AND BIOENGINEERING, 2020, 117 (07) : 2279 - 2294
  • [27] The application of CRISPR-Cas in disease diagnosis and treatment
    Wang, Zhiying
    Liu, Yin
    Zhou, Fuling
    Wang, Yafen
    Zhou, Xiang
    SCIENCE CHINA-CHEMISTRY, 2023, 66 (10) : 2734 - 2742
  • [28] CRISPR-Cas System for RNA Detection and Imaging
    Siyu Chen
    Rujia Wang
    Chunyang Lei
    Zhou Nie
    Chemical Research in Chinese Universities, 2020, 36 : 157 - 163
  • [29] The application of CRISPR-Cas in disease diagnosis and treatment
    Zhiying Wang
    Yin Liu
    Fuling Zhou
    Yafen Wang
    Xiang Zhou
    Science China Chemistry, 2023, 66 : 2734 - 2742
  • [30] Progression and application of CRISPR-Cas genomic editors
    Yang, Li
    Tang, Jing
    Ma, Xuelei
    Lin, Yuan
    Ma, Guorong
    Shan, Minghai
    Wang, Libin
    Yang, Yanhui
    METHODS, 2021, 194 : 65 - 74