Label-free nano-biosensing on the road to tuberculosis detection
Autor: | Behrouz Golichenari, Kelly Velonia, Aristidis Tsatsakis, Khalil Abnous, Alireza Nezami, Aref Farokhi-Fard, Javad Behravan, Rahim Nosrati |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
medicine.medical_specialty New horizons Tuberculosis Biomedical Engineering Biophysics Biosensing Techniques Disease Mycobacterium tuberculosis 03 medical and health sciences Electrochemistry medicine Global health Animals Humans Intensive care medicine Label free biology business.industry Equipment Design General Medicine biology.organism_classification medicine.disease 030104 developmental biology business Whole cell Biotechnology |
Zdroj: | Biosensors and Bioelectronics. 113:124-135 |
ISSN: | 0956-5663 |
DOI: | 10.1016/j.bios.2018.04.059 |
Popis: | Tuberculosis, an ailment caused by the bacterium Mycobacterium tuberculosis (Mtb) complex, is one of the catastrophic transmittable diseases that affect human. Reports published by WHO indicate that in 2017 about 6.3 million people progressed to TB and 53 million TB patients died from 2000 to 2016. Therefore, early diagnosis of the disease is of great importance for global health care programs. Common diagnostics like the traditional PPD test and antibody-assisted assays suffer the lack of sensitivity, long processing time and cumbersome post-test proceedings. These shortcomings restrict their use and encourage innovations in TB diagnostics. In recent years, the biosensor concept opened up new horizons in sensitive and fast detection of the disease, reducing the interval time between sampling and diagnostic result. Among new diagnostics, label-free nano-biosensors are highly promising for sensitive and accessible detection of tuberculosis. Various specific label-free nano-biosensors have been recently reported detecting the whole cell of M. tuberculosis, mycobacterial proteins and IFN-γ as crucial markers in early diagnosis of TB. This article provides a focused overview on nanomaterial-based label-free biosensors for tuberculosis detection. |
Databáze: | OpenAIRE |
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