4.6 Article

CRISPR/Cas12a-Assisted Visual Logic-Gate Detection of Pathogenic Microorganisms Based on Water-Soluble DNA-Binding AIEgens

期刊

FRONTIERS IN CHEMISTRY
卷 9, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fchem.2021.801972

关键词

CRISPR-Cas12a; pathogenic microorganisms; aggregation-induced emission (AIE); visual detection; logic gate

资金

  1. Social Science and Technology Development Key Project of Dongguan of China [2019507101162]
  2. Guangdong Provincial Key Platforms and Major Scientific Research Projects for Colleges and Universities [2020KZDZX1200]
  3. Science and Technology Planning Project of Guangdong Province of China [2018B020208005]
  4. Dongguan Science and Technology of Social Development Program [20211800901582]
  5. Central Public-Interest Scientific Institution Basal Research Fund, Freshwater Fisheries Research Center, CAFS [2021JBFM18]
  6. Special fund for science and technology development of Zhongshan [2020AG020]

向作者/读者索取更多资源

A rapid, visual, and double-checked Logic Gate detection platform has been developed for the detection of pathogenic microorganisms using AIEgens in combination with CRISPR/Cas technology. The method allows for direct observation of emission changes with the naked eye and has strong specificity and speed, making it applicable for environmental water samples.
Here, we developed a rapid, visual and double-checked Logic Gate detection platform for detection of pathogenic microorganisms by aggregation-induced emission luminogens (AIEgens) in combination with Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR associated (Cas). DNA light-up AIEgens (1,1,2,2-tetrakis[4-(2-bromo-ethoxy) phenyl]ethene, TTAPE) was non-emissive but the emission was turned on in the presence of large amount of DNA produced by recombinase polymerase amplification (RPA). When CRISPR/Cas12a was added, all long-stranded DNA were cut leading to the emission quenched. Thus, a method that can directly observe the emission changes with the naked eye has been successfully constructed. The detection is speedy within only 20 min, and has strong specificity to the target. The result can be judged by Logic Gate. Only when the output signal is (1,0), does it represent the presence of pathogenic microorganisms in the test object. Finally, the method was applied to the detect pathogenic microorganisms in environmental water samples, which proved that this method has high selectivity, specificity and applicability for the detection of pathogenic microorganisms in environmental water samples.

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