2021
DOI: 10.1088/1752-7163/ac1fcf
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The peppermint breath test benchmark for PTR-MS and SIFT-MS

Abstract: A major challenge for breath research is the lack of standardization in sampling and analysis. To address this, a test that utilizes a standardized intervention and a defined study protocol has been proposed to explore disparities in breath research across different analytical platforms and to provide benchmark values for comparison. Specifically, the Peppermint Experiment involves the targeted analysis in exhaled breath of volatile constituents of peppermint oil after ingestion of the encapsulated oil. Data f… Show more

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Cited by 18 publications
(24 citation statements)
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“…These compounds were shown to be substantially elevated in exhaled breath of the participant when consuming a breath mint. We putatively identify the signal m/z 155.150 as protonated menthone and m/z 139.137 as dehydrated menthol [ 29 , 30 ]. Monoterpenes are a class of compounds that share the chemical formula C 10 H 16 ; our PTR-ToF-MS is unable to distinguish isomers.…”
Section: Methodsmentioning
confidence: 99%
“…These compounds were shown to be substantially elevated in exhaled breath of the participant when consuming a breath mint. We putatively identify the signal m/z 155.150 as protonated menthone and m/z 139.137 as dehydrated menthol [ 29 , 30 ]. Monoterpenes are a class of compounds that share the chemical formula C 10 H 16 ; our PTR-ToF-MS is unable to distinguish isomers.…”
Section: Methodsmentioning
confidence: 99%
“… Traditional methods for monitoring breath biomarkers include gas chromatogra mphy–mass spectrometry (GC-MS) [ 16 ], selective ion flow tube mass spectrometry (SIFT-MS), proton transfer reaction mass spectrometry (PTR-MS) [ 17 ], ion mobility spectroscopy (IMS) [ 17 ], enzyme immunoassay [ 18 ], polymerase chain reaction, and new antibody microarray technology, etc. [ 19 ].…”
Section: Figurementioning
confidence: 99%
“…Typically, data from large-scale SIFT-MS-based experiments is normalized into relative count rates by dividing each m/z abundance by the sum of the signal intensities per specific reagent ion. 23,24 We did notice, however, that this approach is not sufficient to address the prevailing variations, often resulting in inconsistent product:reagent ion ratios.…”
Section: ■ Introductionmentioning
confidence: 98%
“…In the case of internal standards the difficulty is because of the lack of chromatographic separation and in the case of quality control samples it is because of working with intact perishable biological samples. Typically, data from large-scale SIFT-MS-based experiments is normalized into relative count rates by dividing each m / z abundance by the sum of the signal intensities per specific reagent ion. , We did notice, however, that this approach is not sufficient to address the prevailing variations, often resulting in inconsistent product:reagent ion ratios.…”
Section: Introductionmentioning
confidence: 99%