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

GHORBANPOOR H., AKÇAKOCA İ., Dizaji A. N., Butterworth A., Corrigan D., Kocagoz T., ...Daha Fazla

BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY, cilt.70, sa.3, ss.1397-1406, 2023 (SCI-Expanded) identifier identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 70 Sayı: 3
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1002/bab.2448
  • Dergi Adı: BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Compendex, Computer & Applied Sciences, EMBASE, Environment Index, Food Science & Technology Abstracts, INSPEC, MEDLINE, Veterinary Science Database
  • Sayfa Sayıları: ss.1397-1406
  • Anahtar Kelimeler: antibiotic susceptibility testing, antimicrobial resistance profiling, electrochemical sensing, Mycobacterium tuberculosis (TB)
  • Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Evet

Özet

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.