Development of a Non-invasive Diagnostic Method for Esophageal Squamous Cell          Carcinoma by Gas Chromatographic Analysis of Exhaled Breath

Matsumori, Sei; Hashimoto, Takashi; Nasu, Motomi; Kaga, Naoko; Taka, Hikari; Fujimura, Tsutomu; Ueno, Takashi; Miura, Yoshiki; Kajiyama, Yoshiaki

doi:10.14789/jmj.jmj22-0023-oa

Cited by 3 publications

(1 citation statement)

References 27 publications

(28 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly to the mask, in the case of the adapter the volatile emissions were dominated by IPA, constituting 79% of the total emitted concentration in the untreated part. In contrast to the mask, however, the presence of this compounds can be directly attributed to the post-processing (cleaning) procedure of the 3D-printed adapter, as recently reported [24]. Apart from the dominance of IPA, the most abundant volatiles emitted from the adapter were propylene glycol (PG), followed by acetaldehyde, propionic acid and mesitaldehyde.…”

Section: Materials Emissionsmentioning

confidence: 77%

Emissions and uptake of volatiles by sampling components in breath analysis

2023

View full text Add to dashboard Cite

The first and most crucial step in breath research is adequate sampling, which plays a pivotal role in quality assurance of breath datasets. In particular, the emissions or uptake of volatile organic compounds (VOCs) by sampling interface materials present a risk of disrupting breath gas samples. This study investigated emissions and uptake by three interface components, namely a silicon facemask, a reusable 3D-printed mouthpiece adapter, and a pulmonary function test filter compatible with the commercial ReCIVA breath sampling device. Emissions were examined before and after (hydro-)thermal treatment of the components, and uptake was assessed by exposing each material to 12 representative breath VOCs comprising alcohols, aldehydes, ketones, carboxylic acids, terpenes, sulphurous and nitrogenous compounds at different target concentration ranges (10 ppbV and 100 ppbV). Chemical analyses of VOCs were performed using proton transfer reaction-time-of-flight-mass spectrometry (PTR-TOFMS) with supporting analyses via thermal desorption comprehensive two-dimensional gas chromatography-time-of-flight-mass spectrometry (TD-GC×GC-TOFMS). The filter exhibited the lowest overall emissions compared to the mask or adapter, which both had equivalently high emissions (albeit for different compounds). Treatment of the materials reduced the total VOC emissions by 63 % in the mask, 90 % in the filter and 99 % in the adapter. Uptakes of compounds were lowest for the adapter and most pronounced in the mask. In particular, 1-butanol, acetone, 2-butanone, 1,8-cineole and dimethyl sulphide showed negligible uptake across all materials, whereas ethanol, nonanal, acetic acid, butanoic acid, limonene and indole exhibited marked reductions. Knowledge of emissions and/or uptake by sampling components is key to reducing the likelihood of erroneous data interpretation that will ultimately expedite progress in the field of breath test development.

show abstract

Section: Materials Emissionsmentioning

confidence: 77%

Emissions and uptake of volatiles by sampling components in breath analysis

2023

View full text Add to dashboard Cite

show abstract

Mass spectrometric analysis of exhaled breath: Recent advances and future perspectives

2023

TrAC Trends in Analytical Chemistry

View full text Add to dashboard Cite

Breath VOC analysis and machine learning approaches for disease screening: a review

Haripriya¹,

Rangarajan²,

Sitaramgupta³

2023

J. Breath Res.

View full text Add to dashboard Cite

Early disease detection is often correlated with a reduction in mortality rate and improved prognosis. Currently, techniques like biopsy and imaging that are used to screen chronic diseases are invasive, costly or inaccessible to a large population. Thus, a non-invasive disease screening technology is the need of the hour. Existing non-invasive methods like gas chromatography-mass spectrometry, selected-ion flow-tube mass spectrometry, and proton transfer reaction-mass-spectrometry are expensive. These techniques necessitate experienced operators, making them unsuitable for a large population. Various non-invasive sources are available for disease detection, of which exhaled breath is preferred as it contains different volatile organic compounds (VOCs) that reflect the biochemical reactions in the human body. Disease screening by exhaled breath VOC analysis can revolutionize the healthcare industry. This review focuses on exhaled breath VOC biomarkers for screening various diseases with a particular emphasis on liver diseases and head and neck cancer as examples of diseases related to metabolic disorders and diseases unrelated to metabolic disorders, respectively. Single sensor and sensor array-based (Electronic Nose) approaches for exhaled breath VOC detection are briefly described, along with the machine learning techniques used for pattern recognition.

show abstract

Development of a Non-invasive Diagnostic Method for Esophageal Squamous Cell Carcinoma by Gas Chromatographic Analysis of Exhaled Breath

Cited by 3 publications

References 27 publications

Emissions and uptake of volatiles by sampling components in breath analysis

Emissions and uptake of volatiles by sampling components in breath analysis

Mass spectrometric analysis of exhaled breath: Recent advances and future perspectives

Breath VOC analysis and machine learning approaches for disease screening: a review

Contact Info

Product

Resources

About