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« Previous AbstractDetection of obstructive sleep apnoea by an electronic nose    Next AbstractEffect of Media Nitrogen Concentration on Biofilter Performance »

J Breath Res


Title:Obstructive sleep apnea patients can be identified by ion mobility spectrometry-derived smell prints of different biological materials
Author(s):Greulich T; Fischer H; Lubbe D; Nell C; Ingo Baumbach J; Koehler U; Boeselt T; Vogelmeier C; Koczulla AR;
Address:"Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Centre Giessen and Marburg, Philipps-University, Member of the German Centre for Lung Research (DZL), D-35043 Marburg, Germany"
Journal Title:J Breath Res
Year:2018
Volume:20180206
Issue:2
Page Number:26006 -
DOI: 10.1088/1752-7163/aa96e2
ISSN/ISBN:1752-7163 (Electronic) 1752-7155 (Linking)
Abstract:"BACKGROUND: The analysis of obstructive sleep apnoea syndrome (OSAS) is time- and cost-intensive. A number of studies demonstrated that the non-invasive analysis of exhaled breath (EB) may be suitable to distinguish between OSAS patients and healthy subjects (HS). Methods/Population: We included OSAS patients (n = 15) and HS (n = 15) in this diagnostic proof-of-concept-study. All participants underwent polygraphy to verify or exclude OSAS and performed spirometry to exclude pulmonary ventilatory diseases. The volatile organic compound profile of EB and of the headspaces over EB condensate, pharyngeal washing fluid, and serum was measured using ion mobility spectrometry (IMS) (BioScout((R))) and an e-nose (Cyranose((R)) 320). For the statistical analysis, we fitted classification tree models using recursive partitioning, followed by a leave-one-out cross-validation. For the cross-validated predictions we calculated descriptive classification statistics, p-values from a [Formula: see text]-test with continuity correction, as well as ROC curves. RESULTS: Using IMS, OSAS patients and HS could be distinguished with high accuracy (values ranged from 79% to 97%). The results of the e-nose-derived analyses (with the exception of EB) were less accurate. However, the cross-validated accuracy for EB was very good (0.9), reflecting a positive predictive value of 100% and a negative predictive value of 83%. For each material, we identified the best five substances that may be used for diagnostic purposes. 2-Methylfluran was found in three different biological materials to be discriminative between OSAS and HS. CONCLUSION: The results strengthen the hypothesis that substances detectable in headspace measurements of different airway and blood materials may undergo a transition from blood into the alveoli (and EB) or vice versa. This means that substances from different compartments could be used to distinguish patients with airway diseases (in this case OSAS) from healthy controls"
Keywords:"Breath Tests Electronic Nose Exhalation Female Humans Ion Mobility Spectrometry/*methods Male Middle Aged Pulmonary Alveoli/physiopathology ROC Curve Sleep Apnea, Obstructive/*diagnosis *Smell Volatile Organic Compounds/analysis;"
Notes:"MedlineGreulich, Timm Fischer, Hannes Lubbe, Dirk Nell, Christoph Ingo Baumbach, Jorg Koehler, Ulrich Boeselt, Tobias Vogelmeier, Claus Koczulla, Andreas Rembert eng England 2017/10/31 J Breath Res. 2018 Feb 6; 12(2):026006. doi: 10.1088/1752-7163/aa96e2"

 
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