Breath selection methods for compact mass spectrometry breath analysis.pdf (1.46 MB)
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Breath selection methods for compact mass spectrometry breath analysis

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journal contribution
posted on 04.11.2019, 09:48 by Kerry Rosenthal, Dorota Ruszkiewicz, Hayden Allen, Martin LindleyMartin Lindley, Matthew TurnerMatthew Turner, Eugenie HunsickerEugenie Hunsicker
Compact mass spectrometry (CMS) is a versatile and transportable analytical instrument that has the potential to be used in clinical settings to quickly and non-invasively detect a wide range of relevant conditions from breath samples. The purpose of this study is to optimise data preprocessing protocols by three proposed methods of breath sampling, using the CMS. It also lays out a general framework for which data processing methods can be evaluated. METHODS: This paper considers data from three previous studies, each using a different breath sampling method. These include a peppermint washout study using continuous breath sampling with a purified air source, an exercise study using continuous breath sampling with an ambient air source, and a single breath sampling study with an ambient air source. For each dataset, different breath selection (data preprocessing) methods were compared and benchmarked according to predictive performance on a validation set and quantitative reliability of m/z bin intensity measurements. RESULTS: For both continuous methods, the best breath selection method improved the predictive model compared to no preselection, as measured by the 95% CI range for Youden's index, from 0.68-0.86 to 0.86-0.97 for the exercise study and 0.69-0.82 to 1.00-1.00 for the peppermint study. The reliability of intensity measurements for both datasets (as measured by median relative standard deviation (RSD)), was improved slightly by the best selection method compared to no preselection, from 18% to 14% for the exercise study and 7%-5% for the peppermint study. For the single breath samples, all the models resulted in perfect prediction, with a 95% CI range for Youden's index of 1.00-1.00. The reliability of the proposed method was 38%. CONCLUSION: The method of selecting exhaled breath from CMS data can affect the reliability of the measurement and the ability to distinguish between breath samples taken under different conditions. The application of appropriate data processing methods can improve the quality of the data and results obtained from CMS. The methods presented will enable untargeted analysis of breath VOCs using CMS to be performed.

History

School

  • Sport, Exercise and Health Sciences
  • Science

Department

  • Chemistry
  • Mathematical Sciences

Published in

Journal of Breath Research

Volume

13

Issue

4

Publisher

IOP Publishing

Version

AM (Accepted Manuscript)

Rights holder

© IOP publishing

Publisher statement

This paper was accepted for publication in the journal Journal of Breath Research and the definitive published version is available at https://doi.org/10.1088/1752-7163/ab34d4

Acceptance date

22/07/2019

Publication date

2019-09-30

Copyright date

2019

ISSN

1752-7155

eISSN

1752-7163

Language

en

Location

England

Depositor

Ms Kerry Rosenthal Deposit date: 1 November 2019

Article number

046013