Quantitative and qualitative analysis of VOCs mixtures by means of a microsensors array and different evaluation methods
Anno: 2003
Autori: Taurino A.M., Distante C., Siciliano P., Vasanelli L.
Affiliazione autori: CNR, IMM, I-73100 Lecce, Italy;
Univ Lecce, Dept Innovat Engn, I-73100 Lecce, Italy
Abstract: In this work we show the capability of a sol-gel based electronic nose to be used in qualitative and quantitative analysis with the aim to recognize common volatile compounds usually present in the headspace of foods. Acetone, hexanal and 2-pentanone were chosen for this kind of measurements, performed both in dry air and in mixture of 50% humidity, just to simulate the experimental set-up in real applications. Moreover, different mixtures of 2-pentanone and hexanal at low concentration were investigated. We show how linear technique, such as principal component analysis (PCA) algorithm can be used for inspecting data distribution in simple cases like cluster discrimination. Moreover, non-linear techniques for difficult regression problems, such as artificial neural networks (multi-layer perceptron (MLP) and radial basis function (RBF)) are needed in particular for the prediction of different concentrations. (C) 2003 Elsevier Science B.V. All rights reserved.
Giornale/Rivista: SENSORS AND ACTUATORS. B, CHEMICAL (PRINT)
Volume: 93 (1-3) Da Pagina: 117 A: 125
Maggiori informazioni: DOI: 10.1016/S0925-4005(03)00241-7
Parole chiavi: electronic nose; pattern recognition; back-propagation; RBF; DOI: 10.1016/S0925-4005(03)00241-7Citazioni: 42dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2024-05-12Riferimenti tratti da Isi Web of Knowledge: (solo abbonati) Link per visualizzare la scheda su IsiWeb: Clicca quiLink per visualizzare la citazioni su IsiWeb: Clicca qui