Ruslan ADİL AKAY TEGİN | Camilya SMANALİYEVA | Coşkan ILICALI

Correction | 2019 | Sensors19 ( 16 )

Ruslan ADİL AKAY TEGİN | Camilya SMANALİYEVA | Coşkan ILICALI

Article | 2018 | Sensors18 ( 2 )

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 marketin More less