Measuring and correlating the concentration levels of biomarkers in exhaled breath

IF 5.6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
İsmail Bayrakli
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Abstract

In this research, a sensor system was developed to quantify and correlate the concentration levels of biomarkers present in exhaled breath. To achieve this purpose, exhaled air samples were collected from a cohort of 300 individuals, and datasets comprising concentrations of oxygen (O2), carbon dioxide (CO2), nitrous oxide (N2O), carbon monoxide (CO), and water vapor (H2O) molecules were established. The analyses of CO2 and N2O molecules were conducted utilizing our custom-built multiple-pass absorption spectroscopy (MuPAS) sensor, whereas the detection of CO and H2O molecules was carried out using our custom-built quartz-enhanced photoacoustic absorption spectroscopy (QEPAS) sensor. The oxygen molecule was examined utilizing a commercially available sensor. A novel methodology was established to correlate the concentration values of molecules and to derive the conversion equations between them. To the best of our knowledge, this study is the first to establish significant correlations between the breath molecules. Thus, it was demonstrated that the concentration values of other molecules can be determined based on the concentration value of a reference molecule. Consequently, breath analysis can be conducted in a more efficient, rapid, simple, and cost-effective manner.
测量和关联呼出气体中生物标志物的浓度水平
在这项研究中,开发了一种传感器系统来量化和关联呼出气体中存在的生物标志物的浓度水平。为了实现这一目的,从300人的队列中收集呼出的空气样本,并建立了包括氧气(O2)、二氧化碳(CO2)、一氧化二氮(N2O)、一氧化碳(CO)和水蒸气(H2O)分子浓度的数据集。CO2和N2O分子的分析使用我们定制的多通吸收光谱(MuPAS)传感器进行,而CO和H2O分子的检测使用我们定制的石英增强光声吸收光谱(QEPAS)传感器进行。利用市售传感器对氧分子进行了检测。建立了一种新的方法来关联分子的浓度值,并推导出它们之间的转换方程。据我们所知,这项研究是第一个建立呼吸分子之间显著相关性的研究。因此,可以通过参考分子的浓度值来确定其他分子的浓度值。因此,呼吸分析可以以更有效,快速,简单和成本效益的方式进行。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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