4.7 Article

Nucleic Acids Detection for Mycobacterium tuberculosis Based on Gold Nanoparticles Counting and Rolling-Circle Amplification

期刊

BIOSENSORS-BASEL
卷 12, 期 7, 页码 -

出版社

MDPI
DOI: 10.3390/bios12070448

关键词

tuberculosis; nucleic acids; gold nanoparticles counting; rolling-circle amplification

资金

  1. National Natural Science Foundation of China [22004005]
  2. General Items of the BeijingMunicipal Education Commission [KM202110011011]

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This study developed a simple and sensitive method for Mycobacterium tuberculosis-specific DNA detection using dark-field microscopic imaging and rolling-circle amplification. The proposed method showed high sensitivity and feasibility for application in biological samples, providing a new tool for pathogen detection.
Tuberculosis (TB) is a common infectious disease caused by Mycobacterium tuberculosis, which usually disturbs the lungs, and remains the second leading cause of death from an infectious disease worldwide after the human immunodeficiency virus. Herein, we constructed a simple and sensitive method for Mycobacterium tuberculosis-specific DNA detection with the dark-field microscopic imaging of gold nanoparticles (AuNPs) counting strategy and rolling-circle amplification (RCA). Taking advantage of RCA amplification, one target molecule produced hundreds of general oligonucleotides, which could form the sandwich structure with capture-strand-modified magnetic beads and AuNPs. After magnetic separation, AuNPs were released and detected by dark-field imaging; about 10 fM Mycobacterium tuberculosis-specific DNA target can still be differentiated from the blank. No significant change of the absorbance signals was observed when the target DNA to genomic DNA ratio (in mass) was from 1:0 to 1:10(6). The spike recovery results in genomic DNA from human and Klebsiella pneumoniae suggested that the proposed method has the feasibility for application with biological samples. This proposed method is performed on an entry-level dark-field microscope setup with only a 6 mu L detection volume, which creates a new, simple, sensitive, and valuable tool for pathogen detection.

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