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Simple and low cost antibiotic susceptibility testing for mycobacterium tuberculosis using screen-printed electrodes

  • Hahmad Gorbanpoor
  • , Iremnur Akcakoca
  • , Araz Norouz Dizaji
  • , Adrian Butterworth
  • , Damion Corrigan
  • , Tanil Kocagoz
  • , Aliakbar Ebrahami
  • , Huseyin Avci
  • , Fatma Dogan Guzel

Research output: Contribution to journal › Article › peer-review

33 Downloads (Pure)

Abstract

One quarter of the global population is thought to be latently infected by Mycobacterium tuberculosis (TB) with it estimated that 1 in 10 of those people will go on to develop active disease. Due to the fact that M. tuberculosis (TB) is a disease most often associated with low- and middle-income countries, it is critical that low-cost and easy-to-use technological solutions are developed, which can have a direct impact on diagnosis and prescribing practice for TB. One area where intervention could be particularly useful is antibiotic susceptibility testing (AST). This work presents a low-cost, simple-to-use AST sensor that can detect drug susceptibility on the basis of changing RNA abundance for the typically slow-growing M. tuberculosis (TB) pathogen in 96 h using screen-printed electrodes and standard molecular biology laboratory reactionware. In order to find out the sensitivity of applied sensor platform, a different concentration (10 8–10 3 CFU/mL) of M. tuberculosis was performed, and limit of detection and limit of quantitation were calculated as 10 3.82 and 10 11.59 CFU/mL, respectively. The results display that it was possible to detect TB sequences and distinguish antibiotic-treated cells from untreated cells with a label-free molecular detection. These findings pave the way for the development of a comprehensive, low-cost, and simple-to-use AST system for prescribing in TB and multidrug-resistant tuberculosis.

Original languageEnglish
Pages (from-to)1397-1406
Number of pages10
JournalBiotechnology and Applied Biochemistry
Volume70
Issue number3
Early online date4 Feb 2023
DOIs
Publication statusPublished - Jun 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • antimicrobial resistance profiling
  • antibiotic susceptibility testing
  • electrochemical sensing
  • Mycobacterium tuberculosis (TB)

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