JOURNAL ARTICLE

Rapid and sensitive detection of Mycobacterium tuberculosis based on strand displacement amplification and magnetic beads

Abstract

Abstract Tuberculosis is one of the main infectious diseases threatening public health, and the development of simple, rapid, and cost‐saving methods for tuberculosis diagnosis is of profound importance for tuberculosis prevention and treatment. The bacterium Mycobacterium tuberculosis (MTB) is the pathogen that causes tuberculosis, and assaying for MTB is the only criterion for tuberculosis diagnosis. A new enzyme‐free method based on strand displacement amplification and magnetic beads was developed for simple, rapid, and cost‐saving MTB detection. Under optimum conditions, a good linear relationship could be observed between fluorescence and MTB specific DNA concentration ranging from 0.05 to 150 nM with a correlation coefficient of 0.993 ( n = 8) and a detection limit of 47 pM (3σ/K). The present method also distinguished a one base mismatch from MTB specific DNA, showing great promise for MTB genome single base polymorphism analysis. MTB specific DNA content in polymerase chain reaction samples was successfully detected using the new method, and recoveries were 97.8–100.8%, indicating that the present method had high accuracy and shows good potential for the early diagnosis of tuberculosis.

Keywords:
Mycobacterium tuberculosis Tuberculosis Polymerase chain reaction Multiple displacement amplification Detection limit DNA Virology Microbiology Molecular biology Biology DNA extraction Chemistry Medicine Chromatography Genetics Gene Pathology

Metrics

11
Cited By
0.78
FWCI (Field Weighted Citation Impact)
40
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced biosensing and bioanalysis techniques
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Biosensors and Analytical Detection
Physical Sciences →  Engineering →  Biomedical Engineering
Mycobacterium research and diagnosis
Health Sciences →  Medicine →  Epidemiology

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