Ultratrace eNose Sensing of VOCs toward Breath Analysis Applications Utilizing an eNose-Based Analyzer

IF 4.6 Q1 CHEMISTRY, ANALYTICAL
Johannes Glöckler, Carsten Jaeschke, Marta Padilla, Jan Mitrovics and Boris Mizaikoff*, 
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Abstract

This proof-of-principle study presents the ability of the recently developed iLovEnose to measure ultratrace levels of volatile organic compounds (VOCs) in simulated human breath based on the combination of multiple gas sensors. The iLovEnose was developed by our research team as a test bed for gas sensors that can be hosted in three serially connected compact low-volume and temperature-controlled compartments. Herein, the eNose system was equipped with conventional semiconducting metal oxide (MOX) gas sensors using a variety of base technologies providing 11 different sensor signals that were evaluated to determine six VOCs of interest at eight low to ultralow concentration levels (i.e., ranging from 3 to 0.075 ppm) at humid conditions (90% rh at 22 °C). The measurements were randomized and performed four times over a period of 2 weeks. Partial least-squares regression analysis was applied to estimate the concentration of these six analytes. It was shown that the iLovEnose system is able to discriminate between these VOCs and provide reliable quantitative information relevant for future applications in exhaled breath analysis as a diagnostic disease detection or monitoring device.

Abstract Image

Abstract Image

利用基于电子鼻的分析仪对挥发性有机化合物进行超痕量电子鼻传感,以实现呼吸分析应用
这项原理验证研究展示了最近开发的 iLovEnose 在多个气体传感器组合的基础上测量模拟人体呼吸中超微量挥发性有机化合物 (VOC) 的能力。iLovEnose 由我们的研究团队开发,作为气体传感器的试验平台,可安装在三个串行连接的紧凑型低容量温控舱内。在这里,eNose 系统配备了传统的半导体金属氧化物(MOX)气体传感器,采用多种基础技术,提供 11 种不同的传感器信号,在潮湿条件下(90% rh,22 °C),在 8 个低到超低浓度水平(即从 3 到 0.075 ppm 不等)对 6 种相关挥发性有机化合物进行了评估测定。测量是随机进行的,在两周内进行了四次。应用偏最小二乘回归分析来估算这六种分析物的浓度。结果表明,iLovEnose 系统能够区分这些挥发性有机化合物,并提供可靠的定量信息,适用于未来作为疾病诊断检测或监测设备的呼气分析应用。
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来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
发文量
0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
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