Performance evaluation of an ambient volatile organics sensor based on mesoporous silica preconcentrator and a photoionization detector

Day, Coco; Lee, Tse-Ang; Barua, Nirmalay; Hutter, Tanya

doi:10.1016/j.sna.2023.114320

Cited by 5 publications

(1 citation statement)

References 27 publications

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“…Based on the above research, the compact breathalyzer demonstrates excellent detection capability and stability for NAFLD biomarkers such as isoprene in exhaled breath, indicating the system's suitability for analyzing human exhaled breath samples. Since the photoionization detector is sensitive to water vapor [28], this study employed molecular sieve desiccants for sample drying before testing to eliminate the interference of water vapor on system signals. Considering the system's low response to high-boiling compounds below 5 ppm, the testing conditions for exhaled breath samples were set at 30 • C with a column inlet flow rate of 7.5 mL/min.…”

Section: Breath Analysis For Nafld Biomarkersmentioning

confidence: 99%

A compact breath breathalyzer for identifying the non-alcoholic fatty liver disease biomarker

Wang,

Hua,

et al. 2024

J. Inst.

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Non-alcoholic fatty liver disease (NAFLD) is a prevalent chronic liver disease worldwide. Currently, its diagnosis relies primarily on imaging and histological examinations, which are invasive and prone to misdiagnosis in the early stage. To address these limitations, detection and analysis of volatile organic compounds (VOCs) in human breath can be a rapid and non-invasive screening method for NAFLD. In this study, a compact breath breathalyzer was developed, utilizing a miniaturized gas chromatography chip with the STM32 microcontroller as the main control chip to manage airflow, temperature, and receive terminal signals from the photoionization detector. In the experiment, a gas mixture comprising five VOCs (pentane, acetone, toluene, octane, and decane) was selected as the simulated typical disease biomarkers in human breath to investigate the breathalyzer's performance and optimize testing conditions for multi-polar and wide-boiling-range breath samples. Results show that the breathalyzer can detect low-boiling components (< 100°C) such as the isoprene and acetone, with a detection limit less than 50 ppb which are two commonly biomarkers of NAFLD. Furthermore, breath samples were collected from 35 non-diseased individuals, and NAFLD early-stage patient samples were simulated by increasing the isoprene concentration by 10 ppb. Convolutional neural network (CNN) were used to identify the VOC signatures in gas chromatograms with predictive accuracy of 85% for the classification model. Therefore, the compact breath breathalyzer has potential application in the rapid and early screening of NAFLD.

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Section: Breath Analysis For Nafld Biomarkersmentioning

confidence: 99%