Exhaled breath analysis allows exclusive screening for malignant pleural mesothelioma

Malignant pleural mesothelioma (MPM) is mainly related to previous asbestos exposure. There is still dearth of information on non-invasive biomarkers to detect MPM at early stages. Human studies on exhaled breath biomarkers of cancer and asbestos-related diseases show encouraging results. The aim of this systematic review was to provide an overview on the current knowledge about exhaled breath analysis in MPM diagnosis. A systematic review was conducted on MEDLINE (PubMed), EMBASE and Web of Science databases to identify relevant studies. Quality assessment was done by the Newcastle–Ottawa Scale. Six studies were identified, all of which showed fair quality and explored volatile organic compounds (VOC) based breath profile using Gas Chromatography Coupled to Mass Spectrometry (GC–MS), Ion Mobility Spectrometry Coupled to Multi-capillary Columns (IMS–MCC) or pattern-recognition technologies. Sample sizes varied between 39 and 330. Some compounds (i.e, cyclohexane, P3, P5, P50, P71, diethyl ether, limonene, nonanal, VOC IK 1287) that can be indicative of MPM development in asbestos exposed population were identified with high diagnostic accuracy rates. E-nose studies reported breathprints being able to distinguish MPM from asbestos exposed individuals with high sensitivity and a negative predictive value. Small sample sizes and methodological diversities among studies limit the translation of results into clinical practice. More prospective studies with standardized methodologies should be conducted on larger populations.

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Exhaled Breath Analysis to Predict Risk of Symptomatic Pneumonitis

Case Medical Research ◽

10.31525/ct1-nct04040244 ◽

2019 ◽

Author(s):

Keyword(s):

Breath Analysis ◽

Exhaled Breath ◽

Exhaled Breath Analysis

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A comparative study on the VOCs gas sensing properties of Zn2SnO4 nanoparticles, hollow cubes, and hollow octahedra towards exhaled breath analysis

Sensors and Actuators B Chemical ◽

10.1016/j.snb.2021.130147 ◽

2021 ◽

pp. 130147

Author(s):

Nguyen Hong Hanh ◽

Trinh Minh Ngoc ◽

Lai Van Duy ◽

Chu Manh Hung ◽

Nguyen Van Duy ◽

...

Keyword(s):

Comparative Study ◽

Gas Sensing ◽

Breath Analysis ◽

Exhaled Breath ◽

Sensing Properties ◽

Exhaled Breath Analysis ◽

Gas Sensing Properties

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Modular Breath Analyzer (MBA): Introduction of a Breath Analyzer Platform Based on an Innovative and Unique, Modular eNose Concept for Breath Diagnostics and Utilization of Calibration Transfer Methods in Breath Analysis Studies

Molecules ◽

10.3390/molecules26123776 ◽

2021 ◽

Vol 26 (12) ◽

pp. 3776

Author(s):

Carsten Jaeschke ◽

Marta Padilla ◽

Johannes Glöckler ◽

Inese Polaka ◽

Martins Leja ◽

...

Keyword(s):

Real Life ◽

Sensor Arrays ◽

Breath Analysis ◽

Exhaled Breath ◽

Calibration Transfer ◽

Early Disease Detection ◽

Exhaled Breath Analysis ◽

Breath Analyzer ◽

Analysis Experiment ◽

Before And After

Exhaled breath analysis for early disease detection may provide a convenient method for painless and non-invasive diagnosis. In this work, a novel, compact and easy-to-use breath analyzer platform with a modular sensing chamber and direct breath sampling unit is presented. The developed analyzer system comprises a compact, low volume, temperature-controlled sensing chamber in three modules that can host any type of resistive gas sensor arrays. Furthermore, in this study three modular breath analyzers are explicitly tested for reproducibility in a real-life breath analysis experiment with several calibration transfer (CT) techniques using transfer samples from the experiment. The experiment consists of classifying breath samples from 15 subjects before and after eating a specific meal using three instruments. We investigate the possibility to transfer calibration models across instruments using transfer samples from the experiment under study, since representative samples of human breath at some conditions are difficult to simulate in a laboratory. For example, exhaled breath from subjects suffering from a disease for which the biomarkers are mostly unknown. Results show that many transfer samples of all the classes under study (in our case meal/no meal) are needed, although some CT methods present reasonably good results with only one class.

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