AI Article Synopsis
- Scientists studied how to analyze human breath using special methods, focusing on the problem of high water levels in breath samples.
- They created a new way to record breath data that made sure it was safe and accurate by using certain chemicals as standards.
- This new approach helped them successfully tell the difference between stressed and unstressed people in a study, achieving 95% accuracy, which was much better than previous methods.
Article Abstract
Background: Confounding factors in the analysis of human breath by thermal desorption GC-MS are reviewed, with special emphasis on the high water levels encountered in human breath samples.
Results: Multilinear regression optimization of breath sampling factors, along with the selection of ubiquitous sample components used as retention-time standards, enabled data registration based on retention indexing and mass spectral alignment. This was done on a component-by-component basis. The methodology developed reconciled participant safety, artefacts from accelerated hydrolysis of the stationary phase and the destructive nature of thermal desorption. Furthermore, using ubiquitous methylated cyclic-siloxanes in the thermal desorption-GC-MS chromatograms enabled secondary retention indexing for each chromatogram. This methodology enables the creation of a 'breath matrix' that is based on a combination of retention indexing and the mass spectral registration of isolated peaks.
Conclusion: This approach facilitated more efficient data modeling and a case study from a 22-participant (10 male, 12 female) stress-intervention experiment. Principal component analysis of data registered by retention indexing did not classify successfully stressed from unstressed states. By contrast, adoption of a breath matrix approach enabled 95% separation.
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| http://dx.doi.org/10.4155/bio.12.193 | DOI Listing |
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