Nanomaterials (Sep 2021)

Aptasensor for the Detection of <i>Mycobacterium tuberculosis</i> in Sputum Utilising CFP10-ESAT6 Protein as a Selective Biomarker

  • Umi Zulaikha Mohd Azmi,
  • Nor Azah Yusof,
  • Jaafar Abdullah,
  • Faruq Mohammad,
  • Shahrul Ainliah Alang Ahmad,
  • Siti Suraiya,
  • Nurul Hanun Ahmad Raston,
  • Fatin Nabilah Mohd Faudzi,
  • Sachin K. Khiste,
  • Hamad A. Al-Lohedan

DOI
https://doi.org/10.3390/nano11092446
Journal volume & issue
Vol. 11, no. 9
p. 2446

Abstract

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A portable electrochemical aptamer-antibody based sandwich biosensor has been designed and successfully developed using an aptamer bioreceptor immobilized onto a screen-printed electrode surface for Mycobacterium tuberculosis (M. tuberculosis) detection in clinical sputum samples. In the sensing strategy, a CFP10-ESAT6 binding aptamer was immobilized onto a graphene/polyaniline (GP/PANI)-modified gold working electrode by covalent binding via glutaraldehyde linkage. Upon interaction with the CFP10-ESAT6 antigen target, the aptamer will capture the target where the nano-labelled Fe3O4/Au MNPs conjugated antibody is used to complete the sandwich format and enhance the signal produced from the aptamer–antigen interaction. Using this strategy, the detection of CFP10-ESAT6 antigen was conducted in the concentration range of 5 to 500 ng/mL. From the analysis, the detection limit was found to be 1.5 ng/mL, thereby demonstrating the efficiency of the aptamer as a bioreceptor. The specificity study was carried out using bovine serum albumin (BSA), MPT64, and human serum, and the result demonstrated good specificity that is 7% higher than the antibody–antigen interaction reported in a previous study. The fabricated aptasensor for M. tuberculosis analysis shows good reproducibility with an relative standard deviation (RSD) of 2.5%. Further analysis of M. tuberculosis in sputum samples have shown good correlation with the culture method with 100% specificity and sensitivity, thus making the aptasensor a promising candidate for M. tuberculosis detection considering its high specificity and sensitivity with clinical samples.

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