Miniaturized Rapid Electrochemical Immunosensor Based on Screen Printed Carbon Electrodes for Mycobacterium tuberculosis Detection.
Zouaghi NouraShahid AzizImran ShahAamouche AhmedDong-Won JungBrahim LakssirEl Mostafa RessamiPublished in: Biosensors (2023)
In 2019, over 21% of an estimated 10 million new tuberculosis (TB) patients were either not diagnosed at all or diagnosed without being reported to public health authorities. It is therefore critical to develop newer and more rapid and effective point-of-care diagnostic tools to combat the global TB epidemic. PCR-based diagnostic methods such as Xpert MTB/RIF are quicker than conventional techniques, but their applicability is restricted by the need for specialized laboratory equipment and the substantial cost of scaling-up in low- and middle-income countries where the burden of TB is high. Meanwhile, loop-mediated isothermal amplification (LAMP) amplifies nucleic acids under isothermal conditions with a high efficiency, helps in the early detection and identification of infectious diseases, and can be performed without the need for sophisticated thermocycling equipment. In the present study, the LAMP assay was integrated with screen-printed carbon electrodes and a commercial potentiostat for real time cyclic voltammetry analysis (named as the LAMP-Electrochemical (EC) assay). The LAMP-EC assay was found to be highly specific to TB-causing bacteria and capable of detecting even a single copy of the Mycobacterium tuberculosis (Mtb) IS 6110 DNA sequence. Overall, the LAMP-EC test developed and evaluated in the present study shows promise to become a cost-effective tool for rapid and effective diagnosis of TB.
Keyphrases
- loop mediated isothermal amplification
- mycobacterium tuberculosis
- pulmonary tuberculosis
- sensitive detection
- high throughput
- public health
- infectious diseases
- high efficiency
- gold nanoparticles
- end stage renal disease
- quantum dots
- ejection fraction
- emergency department
- prognostic factors
- mass spectrometry
- electronic health record
- artificial intelligence
- big data
- hepatitis c virus
- low cost
- patient reported outcomes
- data analysis
- liquid chromatography
- single cell
- cell free
- global health