On the Temporal Stability of Analyte Recognition with an E-Nose Based on a Metal Oxide Sensor Array in Practical Applications
| Autor: | Igor Kaikov, Martin Sommer, Ruslan Adil Akai Tegin, Ilona Koronczi, Michael Hauptmannl, Jamila Smanalieva, I. Kiselev, Victor V. Sysoev, Coskan Ilicali |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
electronic nose
Analyte linear discriminant analysis Computer science Stability (learning theory) 02 engineering and technology lcsh:Chemical technology 01 natural sciences Biochemistry Article Analytical Chemistry Sampling (signal processing) Sensor array Electronic engineering ddc:530 lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation meat quality control Electronic nose Physics 010401 analytical chemistry Process (computing) Ranging long-term stability 021001 nanoscience & nanotechnology Linear discriminant analysis Atomic and Molecular Physics and Optics 0104 chemical sciences instability honey recognition ambient air Erratum 0210 nano-technology |
| Zdroj: | Sensors, Vol 18, Iss 2, p 550 (2018) Sensors (Basel, Switzerland) Sensors, 18 (2), Art. Nr.: 550 Sensors; Volume 18; Issue 2; Pages: 550 |
| ISSN: | 1424-8220 |
| Popis: | The paper deals with a functional instability of electronic nose (e-nose) units which significantly limits their real-life applications. Here we demonstrate how to approach this issue with example of an e-nose based on a metal oxide sensor array developed at the Karlsruhe Institute of Technology (Germany). We consider the instability of e-nose operation at different time scales ranging from minutes to many years. To test the e-nose we employ open-air and headspace sampling of analyte odors. The multivariate recognition algorithm to process the multisensor array signals is based on the linear discriminant analysis method. Accounting for the received results, we argue that the stability of device operation is mostly affected by accidental changes in the ambient air composition. To overcome instabilities, we introduce the add-training procedure which is found to successfully manage both the temporal changes of ambient and the drift of multisensor array properties, even long-term. The method can be easily implemented in practical applications of e-noses and improve prospects for device marketing. |
| Databáze: | OpenAIRE |
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