scholarly journals Recent Advances in Measuring Exhaled Breath and Estimating Exposure and Body Burden for Volatile Organic Compounds (VOCs)

1995 ◽  
Vol 103 ◽  
pp. 95 ◽  
Author(s):  
Lance A. Wallace ◽  
Edo D. Pellizzari
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Body Burden ◽  
Exhaled Breath ◽  
Recent Advances ◽  
Volatile Organic

scholarly journals Recent Advances in Targeting Clinical Volatile Organic Compounds (VOC)

2021 ◽  
Author(s):  
Imadeddine Azzouz ◽  
Mohammad Sharif Khan ◽  
Andrew C. Bishop ◽  
Khaldoun Bachari
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Respiratory Diseases ◽  
Clinical Samples ◽  
Exhaled Breath ◽  
Analytical Technique ◽  
Non Invasive ◽  
Promising Tool ◽  
Recent Advances ◽  
Volatile Organic

This chapter introduces the significance of exploring volatile organic compounds (VOC) in clinical samples. Because exhaled-breath is easy to collect, unlimited, and instruments are already commercially available, VOC analysis in exhaled breath seems to be a promising tool for non-invasive detection of many diseases including infections, respiratory diseases, and cancers. Here, we have focused on some appropriate technologies to extract, pre-concentrate, and evaluate VOC biomarkers in exhaled breath. The second part of this chapter discusses the comprehensive GC × GC in bio-VOCs analysis and illustrates the potential of using this analytical technique.

Volatile Organic Compounds in Exhaled Breath of Idiopathic Pulmonary Fibrosis for Discrimination from Healthy Subjects

Lung ◽  
2017 ◽  
Vol 195 (2) ◽  
pp. 247-254 ◽  
Author(s):  
Yu-ichi Yamada ◽  
Gen Yamada ◽  
Mitsuo Otsuka ◽  
Hirotaka Nishikiori ◽  
Kimiyuki Ikeda ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Organic Compounds ◽  
Healthy Subjects ◽  
Exhaled Breath ◽  
Volatile Organic

scholarly journals Influence of age and gender on the profile of exhaled volatile organic compounds analyzed by an electronic nose

2016 ◽  
Vol 42 (2) ◽  
pp. 143-145 ◽  
Author(s):  
Silvano Dragonieri ◽  
Vitaliano Nicola Quaranta ◽  
Pierluigi Carratu ◽  
Teresa Ranieri ◽  
Onofrio Resta
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Electronic Nose ◽  
Principal Component ◽  
Exhaled Breath ◽  
Age And Gender ◽  
Volatile Organic ◽  
Older Subjects ◽  
Never Smokers ◽  
And Gender

We aimed to investigate the effects of age and gender on the profile of exhaled volatile organic compounds. We evaluated 68 healthy adult never-smokers, comparing them by age and by gender. Exhaled breath samples were analyzed by an electronic nose (e-nose), resulting in "breathprints". Principal component analysis and canonical discriminant analysis showed that older subjects (≥ 50 years of age) could not be distinguished from younger subjects on the basis of their breathprints, as well as that the breathprints of males could not distinguished from those of females (cross-validated accuracy, 60.3% and 57.4%, respectively).Therefore, age and gender do not seem to affect the overall profile of exhaled volatile organic compounds measured by an e-nose.

scholarly journals Target Analysis of Volatile Organic Compounds in Exhaled Breath for Lung Cancer Discrimination from Other Pulmonary Diseases and Healthy Persons

Metabolites ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 317
Author(s):  
Michalis Koureas ◽  
Paraskevi Kirgou ◽  
Grigoris Amoutzias ◽  
Christos Hadjichristodoulou ◽  
Konstantinos Gourgoulianis ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computed Tomography ◽  
Lung Cancer ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Ambient Air ◽  
Breath Analysis ◽  
Exhaled Breath ◽  
Healthy Controls ◽  
Volatile Organic

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.

scholarly journals Volatile organic compounds in the exhaled breath of young patients with cystic fibrosis

2006 ◽  
Vol 27 (5) ◽  
pp. 929-936 ◽  
Author(s):  
M. Barker ◽  
M. Hengst ◽  
J. Schmid ◽  
H-J. Buers ◽  
B. Mittermaier ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Young Patients ◽  
Exhaled Breath ◽  
Volatile Organic
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