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Data analysis for a hybrid sensor array

SBERVEGLIERI, Giorgio;
2005-01-01
2005
Nessuno
PE4_5 Analytical chemistry
SENSORS AND ACTUATORS. B, CHEMICAL
sì
2-s2.0-16644393201
WOS:000229009900022
Sì, ma tipo non specificato
Inglese
Internazionale
106
136
143
7
We present the results obtained in measuring diverse food products with the Moses 11 electronic nose (EN) equipped with three different classes of chemical sensors; namely, seven quartz micro-balances (QMB), eight semiconductor sensors (S) and four electrochemical cells (EC). Data are analyzed both with traditional PCA plots, pointing out the limits encountered by this technique and via exhaustive sensor selection. The principal sensor selection results are that: (a) the ranking of the sensor type with regard to discrimination is QCM > EC > S; (b) selected hybrid sensors have much better performances than selected sensors from any single sensor class (test set error lowered by circa 35%); (c) sensors selected from the hybrid array also have better performances than the complete set of hybrid sensors (test set error lowered by circa 25%); and in particular (d) a subsets of as few as two sensors (one QCM, one EC cell) give results similar or better to all 19 sensors. © 2004 Elsevier B.V. All rights reserved.
7
info:eu-repo/semantics/article
262
M., Pardo; L. G., Kwong; Sberveglieri, Giorgio; K., Brubaker; J. F., Schneider; W. R., Penrose; J. R., Stetter
1 Contributo su Rivista::1.1 Articolo in rivista
none
1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/34087
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