Exogenous factors of influence on exhaled breath analysis by ion-mobility spectrometry (MCC/IMS)

2019 ◽  
Vol 22 (2) ◽  
pp. 59-69
Author(s):  
Michael Westhoff ◽  
M. Rickermann ◽  
P. Litterst ◽  
J. I. Baumbach
Keyword(s):  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Breath Analysis ◽  
Exhaled Breath ◽  
Exhaled Breath Analysis ◽  
Exogenous Factors ◽  
Factors Of Influence

scholarly journals Hybrid Analytical Platform Based on Field-Asymmetric Ion Mobility Spectrometry, Infrared Sensing, and Luminescence-Based Oxygen Sensing for Exhaled Breath Analysis

2019 ◽  
Author(s):  
L. Tamina Hagemann ◽  
Stefan Repp ◽  
Boris Mizaikoff
Keyword(s):  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Breath Analysis ◽  
Prototype System ◽  
Exhaled Breath ◽  
Combined System ◽  
Analytical Technique ◽  
Infrared Sensing ◽  
Exhaled Breath Analysis ◽  
Carbon Dioxide Co2

The reliable online analysis of volatile compounds in exhaled breath remains a challenge as a plethora of molecules occur in different concentration ranges (i.e. ppt to %), and need to be detected against an extremely complex background matrix. While this complexity is commonly addressed by hyphenating a specific analytical technique with appropriate preconcentration and/or preseparation strategies prior to detection, we herein propose the combination of three analytical tools based on truly orthogonal measurement principles as an alternative solution: field-asymmetric ion mobility spectrometry (FAIMS), Fourier-transform infrared (FTIR) spectroscopy-based sensors utilizing substrate-integrated hollow waveguides (iHWG), and luminescence sensing (LS). These three tools have been integrated into a single compact analytical platform suitable for online exhaled breath analysis. The analytical performance of this prototype system was tested via artificial breath samples containing nitrogen (N2), oxygen (O2), carbon dioxide (CO2) and acetone as a model volatile organic compound (VOC) commonly present and detected in breath. Functionality of the combined system was demonstrated by detecting these analytes in their respectively breath-relevant concentration range and mutually independent of each other generating orthogonal yet correlated analytical signals. Finally, adaptation of the system towards the analysis of real breath samples during future studies is discussed.

scholarly journals Hybrid Analytical Platform Based on Field-Asymmetric Ion Mobility Spectrometry, Infrared Sensing, and Luminescence-Based Oxygen Sensing for Exhaled Breath Analysis

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2653
Author(s):  
L. Tamina Hagemann ◽  
Stefan Repp ◽  
Boris Mizaikoff
Keyword(s):  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Small Animal ◽  
Breath Analysis ◽  
Prototype System ◽  
Exhaled Breath ◽  
Analytical Technique ◽  
Exhaled Breath Analysis ◽  
Wide Range ◽  
Online Measurements

The reliable online analysis of volatile compounds in exhaled breath remains a challenge, as a plethora of molecules occur in different concentration ranges (i.e., ppt to %) and need to be detected against an extremely complex background matrix. Although this complexity is commonly addressed by hyphenating a specific analytical technique with appropriate preconcentration and/or preseparation strategies prior to detection, we herein propose the combination of three different detector types based on truly orthogonal measurement principles as an alternative solution: Field-asymmetric ion mobility spectrometry (FAIMS), Fourier-transform infrared (FTIR) spectroscopy-based sensors utilizing substrate-integrated hollow waveguides (iHWG), and luminescence sensing (LS). By carefully aligning the experimental needs and measurement protocols of all three methods, they were successfully integrated into a single compact analytical platform suitable for online measurements. The analytical performance of this prototype system was tested via artificial breath samples containing nitrogen (N2), oxygen (O2), carbon dioxide (CO2), and acetone as a model volatile organic compound (VOC) commonly present in breath. All three target analytes could be detected within their respectively breath-relevant concentration range, i.e., CO2 and O2 at 3-5 % and at ~19.6 %, respectively, while acetone could be detected with LOQs as low as 165-405 ppt. Orthogonality of the three methods operating in concert was clearly proven, which is essential to cover a possibly wide range of detectable analytes. Finally, the remaining challenges toward the implementation of the developed hybrid FAIMS-FTIR-LS system for exhaled breath analysis for metabolic studies in small animal intensive care units are discussed.

scholarly journals Exhaled Breath Analysis for Lung Cancer Detection Using Ion Mobility Spectrometry

PLoS ONE ◽  
2014 ◽  
Vol 9 (12) ◽  
pp. e114555 ◽  
Author(s):  
Hiroshi Handa ◽  
Ayano Usuba ◽  
Sasidhar Maddula ◽  
Jörg Ingo Baumbach ◽  
Masamichi Mineshita ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Detection ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Breath Analysis ◽  
Exhaled Breath ◽  
Exhaled Breath Analysis ◽  
Lung Cancer Detection

Analyses of mouse breath with ion mobility spectrometry: a feasibility study

2010 ◽  
Vol 108 (3) ◽  
pp. 697-704 ◽  
Author(s):  
Wolfgang Vautz ◽  
Jürgen Nolte ◽  
Albrecht Bufe ◽  
Jörg I. Baumbach ◽  
Marcus Peters
Keyword(s):  
Feasibility Study ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Animal Experiments ◽  
Allergic Airway Inflammation ◽  
Breath Analysis ◽  
Sampling Procedure ◽  
Exhaled Breath ◽  
Healthy Control ◽  
Spontaneously Breathing

Exhaled breath can provide comprehensive information about the metabolic state of the subject. Breath analysis carried out during animal experiments promises to increase the information obtained from a particular experiment significantly. This feasibility study should demonstrate the potential of ion mobility spectrometry for animal breath analysis, even for mice. In the framework of the feasibility study, an ion mobility spectrometer coupled with a multicapillary column for rapid preseparation was used to analyze the breath of orotracheally intubated spontaneously breathing mice during anesthesia for the very first time. The sampling procedure was validated successfully. Furthermore, the breath of four mice (2 healthy control mice, 2 with allergic airway inflammation) was analyzed. Twelve peaks were identified directly by comparison with a database. Additional mass spectrometric analyses were carried out for validation and for identification of unknown signals. Significantly different patterns of metabolites were detected in healthy mice compared with asthmatic mice, thus demonstrating the feasibility of analyzing mouse breath with ion mobility spectrometry. However, further investigations including a higher animal number for validation and identification of unknown signals are needed. Nevertheless, the results of the study demonstrate that the method is capable of rapid analyses of the breath of mice, thus significantly increasing the information obtained from each particular animal experiment.

scholarly journals 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 ◽  
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.

scholarly journals Electronic nose dataset for COPD detection from smokers and healthy people through exhaled breath analysis

Data in Brief ◽  
2021 ◽  
Vol 35 ◽  
pp. 106767
Author(s):  
Cristhian Manuel Durán Acevedo ◽  
Carlos A. Cuastumal Vasquez ◽  
Jeniffer Katerine Carrillo Gómez
Keyword(s):  
Electronic Nose ◽  
Breath Analysis ◽  
Healthy People ◽  
Exhaled Breath ◽  
Exhaled Breath Analysis
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