Detecting active pulmonary tuberculosis with a breath test using nanomaterial-based sensors

Distinguishing idiopathic Parkinson's disease from other parkinsonian syndromes by breath test

“…Previously, it was evidenced that the nanoarray system is not influenced by potential confounding factors, such as age, gender, smoking and residence location [13,14]. In the current study, the results show no confounding influence of the L-dopa and/or MAO-B treatment on the performance of the applied nanoarray.…”

Exhaled breath analysis in the differentiation of pneumonia from acute pulmonary oedema

“…Methods for distinguishing between these conditions include blood but not exhaled breath biomarkers [2][3][4]. Exhaled breath analysis is being increasingly used for the clinical diagnosis of conditions ranging from lung cancers to tuberculosis [5][6][7], and offers the potential of a rapid, easily-performed method for triage and clinical management in the emergency setting.…”

Detecting lung infections in breathprints: empty promise or next generation diagnosis of infections

“…Impressive empirical data have confirmed the potential of these compounds to serve as a basis for a noninvasive, simple, inexpensive and easy-to-use diagnostic tool [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. In fact, monitoring VOCs in the breath may soon become an interesting supplement (or even an alternative) to conventional medical diagnostics, thanks to the rapid advances in the techniques for breath collection and gas-analysis [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

“…In fact, monitoring VOCs in the breath may soon become an interesting supplement (or even an alternative) to conventional medical diagnostics, thanks to the rapid advances in the techniques for breath collection and gas-analysis [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. This novel approach could revolutionise infectious disease care and management by allowing noninvasive in vivo differential diagnosis, in vitro prediction of the potential progression of infected cells, tailoring of individual treatment and real-time monitoring of therapeutic success [20][21][22][23][24].…”

“…While there are several diagnostic methods for detection of active tuberculosis (e.g. sputum smear microscopy, tuberculosis culture from sputum and Xpert MTB/RIF [28]), and at the proof-of-concept stage a breath test using nanomaterial-based sensors [13], this is not the case for latent tuberculosis. The Mantoux tuberculin skin test [29] and interferon-γ release assays are methods based on immunological tests and do not distinguish between active and latent disease.…”