alexa Breathe Analysis in Tuberculosis Disease Recognition in
E- ISSN: 2320 - 3528
P- ISSN: 2347 - 2286

Research & Reviews: Journal of Microbiology and Biotechnology
Open Access

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Research Article

Breathe Analysis in Tuberculosis Disease Recognition in New Millennium

Ranabir Pal1, Anup Gurung2, Sangay Doma Bhutia2, Antara Sharma2, and Sanjay Dahal2*
  1. Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Jodhpur, India
  2. Department of Chemistry, Sikkim Manipal Institute of Technology, Majitar, Sikkim, India-737102
Corresponding Author: Department of Chemistry, Sikkim Manipal Institute of Technology, Majitar, Sikkim, India-737102. Mobile: +91 9434865113
Received: 02/06/2013 Accepted: 20/06/2013
Related article at Pubmed, Scholar Google


To control the tuberculosis pandemic we need rapid, inexpensive finding tool. To assess the worth of exhaled breath analysis in tuberculosis case detection. A wide-ranging exploration of documents was done in indexed literatures and website-based research reports. Thirty-eight studies were identified on more than 200 potentially relevant articles related to breath analysis on tuberculosis. A broad criterion was formed in the absence of universally accepted method by the researchers on exhaled breathe analysis, irrespective of their criteria for diagnosis of tuberculosis. Wide differences in samples, primary outcome variables, lack of uniformity in criteria for positive diagnosis, and study instruments confounded the outcome variables. These non-invasive breathe tests of tuberculosis and exploring factual and surrogate markers in primary bacterial activity as well as during interventions. Prospective utility of breath analysis by varied methods deserve their proportional weightage. The study reviewed non-judgmentally on the ongoing work in the field of breath analysis that may be worth developing and evaluating as a cost-effective entrant in diagnostic and prognostic algorithms of tuberculosis. Time has come to explore this to the fullest extent for a superior conceptual design of the factors for a futuristic model of non-invasive direct point-of-care diagnostic understanding of the factors influencing diagnosis and prognosis.


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