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Biosensors; Nanomaterial-Based Methods in Diagnosing of Mycobacterium Tuberculosis Publisher



Mobed A1 ; Darvishi M2 ; Kohansal F3 ; Dehfooli FM4 ; Alipourfard I5 ; Tahavvori A6 ; Ghazi F6
Authors
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Authors Affiliations
  1. 1. Infectious and Tropical Diseases Research Center, Clinical Research Institute, Tabriz University of Medical Sciences, Iran
  2. 2. Infectious Diseases and Tropical Medicine Research Center (IDTMRC), Department of Aerospace and Subaquatic Medicine, AJA University of Medical Sciences, Tehran, Iran
  3. 3. Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
  4. 4. Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
  5. 5. Institute of Medical Science and Technology, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Internal Department, Medical Faculty, Urmia University of Medical Sciences, Iran

Source: Journal of Clinical Tuberculosis and Other Mycobacterial Diseases Published:2024


Abstract

Diagnosis of Mycobacterium tuberculosis (Mtb) before the progression of pulmonary infection can be very effective in its early treatment. The Mtb grows so slowly that it takes about 6–8 weeks to be diagnosed even using sensitive cell culture methods. The main opponent in tuberculosis (TB) and nontuberculous mycobacterial (NTM) epidemiology, like in all contagious diseases, is to pinpoint the source of infection and reveal its transmission and dispersion ways in the environment. It is crucial to be able to distinguish and monitor specific mycobacterium strains in order to do this. In food analysis, clinical diagnosis, environmental monitoring, and bioprocess, biosensing technologies have been improved to manage and detect Mtb. Biosensors are progressively being considered pioneering tools for point-of-care diagnostics in Mtb discoveries. In this review, we present an epitome of recent developments of biosensing technologies for M. tuberculosis detection, which are categorized on the basis of types of electrochemical, Fluorescent, Photo-thermal, Lateral Flow, Magneto-resistive, Laser, Plasmonic, and Optic biosensors. © 2023 The Author(s)
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