ePS6.01 Targeted analysis of volatile organic compounds for detection of Pseudomonas aeruginosa in cystic fibrosis patients by exhaled breath analysis

2020 ◽  
Vol 19 ◽  
pp. S52
Author(s):  
R. Kos ◽  
P. Brinkman ◽  
A.H. Neerincx ◽  
T. Paff ◽  
M.G. Gerritsen ◽  
...  
Author(s):  
Yasir I. Syed ◽  
Chris O. Phillips ◽  
Juan J. Rodriguez ◽  
Neil Mac Parthalain ◽  
Ludmila I. Kuncheva ◽  
...  

Metabolites ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 317
Author(s):  
Michalis Koureas ◽  
Paraskevi Kirgou ◽  
Grigoris Amoutzias ◽  
Christos Hadjichristodoulou ◽  
Konstantinos Gourgoulianis ◽  
...  

The aim of the present study was to investigate the ability of breath analysis to distinguish lung cancer (LC) patients from patients with other respiratory diseases and healthy people. The population sample consisted of 51 patients with confirmed LC, 38 patients with pathological computed tomography (CT) findings not diagnosed with LC, and 53 healthy controls. The concentrations of 19 volatile organic compounds (VOCs) were quantified in the exhaled breath of study participants by solid phase microextraction (SPME) of the VOCs and subsequent gas chromatography-mass spectrometry (GC-MS) analysis. Kruskal–Wallis and Mann–Whitney tests were used to identify significant differences between subgroups. Machine learning methods were used to determine the discriminant power of the method. Several compounds were found to differ significantly between LC patients and healthy controls. Strong associations were identified for 2-propanol, 1-propanol, toluene, ethylbenzene, and styrene (p-values < 0.001–0.006). These associations remained significant when ambient air concentrations were subtracted from breath concentrations. VOC levels were found to be affected by ambient air concentrations and a few by smoking status. The random forest machine learning algorithm achieved a correct classification of patients of 88.5% (area under the curve—AUC 0.94). However, none of the methods used achieved adequate discrimination between LC patients and patients with abnormal computed tomography (CT) findings. Biomarker sets, consisting mainly of the exogenous monoaromatic compounds and 1- and 2- propanol, adequately discriminated LC patients from healthy controls. The breath concentrations of these compounds may reflect the alterations in patient’s physiological and biochemical status and perhaps can be used as probes for the investigation of these statuses or normalization of patient-related factors in breath analysis.


2006 ◽  
Vol 27 (5) ◽  
pp. 929-936 ◽  
Author(s):  
M. Barker ◽  
M. Hengst ◽  
J. Schmid ◽  
H-J. Buers ◽  
B. Mittermaier ◽  
...  

2013 ◽  
Vol 3 (2) ◽  
pp. 243-244
Author(s):  
Ranabir Pal ◽  
S Dahal ◽  
A Gurung

Sixty years ago, Nobel Prize winner Linus Pauling proposed the concept that human breath is a complex and dynamic gaseous mixture of more than 200 different endogenous volatile organic compounds (VOCs) that are continually being released in different quantities within the internal environment during health and disease. The researchers estimate that more than a thousand chemicals produced in different organ-systems as metabolic end products come out every minute through the respiratory tract. Volatile organic compounds and other products of oxidative stress are a big chunk among these exhaled breath elements.DOI: http://doi.dx.org/10.3126/nje.v3i2.8509


Author(s):  
Renate Kos ◽  
Paul Brinkman ◽  
Anne H Neerincx ◽  
Tamara Paff ◽  
Marije G Gerritsen ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-20 ◽  
Author(s):  
Attapon Cheepsattayakorn ◽  
Ruangrong Cheepsattayakorn

Today, exhaled nitric oxide has been studied the most, and most researches have now focusd on asthma. More than a thousand different volatile organic compounds have been observed in low concentrations in normal human breath. Alkanes and methylalkanes, the majority of breath volatile organic compounds, have been increasingly used by physicians as a novel method to diagnose many diseases without discomforts of invasive procedures. None of the individual exhaled volatile organic compound alone is specific for disease. Exhaled breath analysis techniques may be available to diagnose and monitor the diseases in home setting when their sensitivity and specificity are improved in the future.


2019 ◽  
Vol 23 (04n05) ◽  
pp. 477-488 ◽  
Author(s):  
Funda Kus ◽  
Cihat Tasaltin ◽  
Mohamad Albakour ◽  
Ayşe Gül Gürek ◽  
İlke Gürol

The synthesis and characterization of novel asymmetric zinc(II) phthalocyanines (4–9) and their linking through peripheral and nonperipheral positions on the phthalocyanine ring via click coupling to alkyne-functionalized 2,3,6,7,10,11-hexakis(prop-2-ynyloxy)triphenylene core are described for the first time. These phthalocyanines (Pcs) (4–12) were characterized by elemental analysis and different spectroscopic techniques such as UV-vis, 1H-NMR, FT-IR and mass spectroscopy. Furthermore, the utilization of thin films of novel Pcs as a sensitive layer for detection of lung cancer from exhaled human breath at room temperature under exposure to marker volatile organic compounds (VOCs) are presented. The developed sensors were tested for acetone, ethanol, [Formula: see text]-hexane, toluene, chloroform and isoprene in a range of 300–14560 ppm. The obtained results have confirmed the possibility of utilization of Pc-based Surface Acoustic Wave (SAW) sensors for medical diagnosis based on exhaled breath analysis.


Author(s):  
Renate Kos ◽  
Paul Brinkman ◽  
Anne H. Neerincx ◽  
Tamara Paff ◽  
Marije G. Gerritsen ◽  
...  

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