11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      On the Temporal Stability of Analyte Recognition with an E-Nose Based on a Metal Oxide Sensor Array in Practical Applications

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references 43

          • Record: found
          • Abstract: not found
          • Article: not found

          Electronic nose: current status and future trends.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose.

            Olfaction exhibits both high sensitivity for odours and high discrimination between them. We suggest that to make fine discriminations between complex odorant mixtures containing varying ratios of odorants without the necessity for highly specialized peripheral receptors, the olfactory systems makes use of feature detection using broadly tuned receptor cells organized in a convergent neurone pathway. As a test of this hypothesis we have constructed an electronic nose using semiconductor transducers and incorporating design features suggested by our proposal. We report here that this device can reproducibly discriminate between a wide variety of odours, and its properties show that discrimination in an olfactory system could be achieved without the use of highly specific receptors.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A brief history of electronic noses

                Bookmark

                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                11 February 2018
                February 2018
                : 18
                : 2
                Affiliations
                [1 ]Breitmeier Messtechnik GmbH, Englerstr. 27, 76275 Ettlingen, Germany; hauptmannl@ 123456breitmeier.de
                [2 ]Laboratory of Sensors and Microsystems, Yuri Gagarin State Technical University of Saratov, 77 Polytechnicheskaya str., 410054 Saratov, Russia
                [3 ]National University of Science and Technology MISiS, 4 Leninskiy pr., 119991 Moscow, Russia
                [4 ]Institute of Microstructure Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany; igor.kaikov@ 123456gmail.com (I.K.); martin.sommer@ 123456kit.edu (M.S.)
                [5 ]Science and Technology of Nanosystems, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany; ilona.koronczi@ 123456kit.edu
                [6 ]Faculty of Engineering, Kyrgyz-Turkish Manas University, Mira Avenue 56, 720044 Bishkek, Kyrgyz Republic; ruslan.adil@ 123456manas.edu.kg (R.A.A.T.); jamila.smanalieva@ 123456gmail.com (J.S.); coskan.ilicali@ 123456gmail.com (C.I.)
                Author notes
                [* ]Correspondence: ilia.v.kiselev@ 123456gmail.com (I.K.); vsysoev@ 123456sstu.ru (V.S.); Tel.: +49-7243-605758 (I.K.); +7-452-998624 (V.S.)
                Article
                sensors-18-00550
                10.3390/s18020550
                5856101
                29439468
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                Categories
                Article

                Comments

                Comment on this article