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Ultratrace eNose Sensing of VOCs toward Breath Analysis Applications Utilizing an eNose-Based Analyzer.
Glöckler, Johannes; Jaeschke, Carsten; Padilla, Marta; Mitrovics, Jan; Mizaikoff, Boris.
Affiliation
  • Glöckler J; Institute of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany.
  • Jaeschke C; Institute of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany.
  • Padilla M; JLM Innovation GmbH, Vor dem Kreuzberg 17, 72070 Tübingen, Germany.
  • Mitrovics J; JLM Innovation GmbH, Vor dem Kreuzberg 17, 72070 Tübingen, Germany.
  • Mizaikoff B; Institute of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany.
ACS Meas Sci Au ; 4(2): 184-187, 2024 Apr 17.
Article in En | MEDLINE | ID: mdl-38645578
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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ACS Meas Sci Au Year: 2024 Document type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ACS Meas Sci Au Year: 2024 Document type: Article Affiliation country: Germany