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Updated: Jun 16, 2026

System for Efficacy and Cytotoxicity Screening of Inhibitors Targeting Intracellular Mycobacterium tuberculosis
Published on: April 5, 2017
Simple and low-cost antibiotic susceptibility testing for Mycobacterium tuberculosis using screen-printed electrodes
Hamed Ghorbanpoor1,2,3,4,5, Iremnur Akcakoca6, Araz Norouz Dizaji2
1Department of Biomedical Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey.
A new low-cost sensor rapidly detects Mycobacterium tuberculosis (TB) antibiotic susceptibility in 96 hours. This technology aids in diagnosing and treating TB, especially in low-resource settings.
Area of Science:
- Biomedical Engineering
- Molecular Diagnostics
- Infectious Disease Research
Background:
- Tuberculosis (TB) affects a quarter of the global population, with 10% developing active disease.
- TB disproportionately impacts low- and middle-income countries, necessitating affordable diagnostic tools.
- Antibiotic susceptibility testing (AST) is crucial for effective TB treatment and preventing drug resistance.
Purpose of the Study:
- To develop a low-cost, user-friendly sensor for rapid antibiotic susceptibility testing (AST) of Mycobacterium tuberculosis (TB).
- To enable faster diagnosis and guide prescribing practices for TB and multidrug-resistant TB (MDR-TB).
Main Methods:
- Utilized screen-printed electrodes and standard molecular biology techniques.
- Developed a sensor detecting changes in RNA abundance for TB drug susceptibility.
- Tested sensor sensitivity with M. tuberculosis concentrations ranging from 10^8 to 10^3 CFU/mL.
Main Results:
- Achieved label-free molecular detection of TB sequences and antibiotic-treated vs. untreated cells.
- Determined the limit of detection (LOD) at 10^3.82 CFU/mL and limit of quantitation (LOQ) at 10^11.59 CFU/mL.
- Demonstrated rapid AST results within 96 hours for the slow-growing M. tuberculosis.
Conclusions:
- The developed sensor offers a promising low-cost, simple solution for TB AST.
- This technology can significantly impact TB diagnosis and treatment strategies, particularly for MDR-TB.
- Facilitates informed clinical decisions for TB management in resource-limited settings.
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