A mixed sensor array for the classification of the olive oil

Alessandro Mantini; C. Di Natale; A. Macagnano; R. Paolesse; P. Siciliano; A. Taurino; R. Rella; A. D’Amico

A mixed sensor array for the classification of the olive oil

Alessandro Mantini, C. Di Natale, A. Macagnano, R. Paolesse, P. Siciliano, A. Taurino, R. Rella, A. D’Amico

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Electronic noses using in the same array different sensor technologies have yet been proposed as a method to increase discrimination performances. In this paper two arrays based on porphyrins coated QMB and sol-gel prepared SnO2 sensors are evaluated, compared and integrated. Olive oil has been considered as a selected case. In case of QMB sensors LSER model has been utilized to predict the sensitivity towards relevant compounds in olive oil headspace. An outer product analysis has been utilized to compare the performances of both arrays.

Original language	English
Title of host publication	Sensors and Microsystems - Proceedings of the 5th Italian Conference -- Extended to Mediterranean Countries
Editors	Corrado Di Natale, Pietro Siciliano Arnaldo D'amico
Pages	239-242
Number of pages	4
Volume	2000
Publication status	Published - 2000
Externally published	Yes

Keywords

Sensor Array

Cite this

Mantini, Alessandro ; Natale, C. Di ; Macagnano, A. ; Paolesse, R. ; Siciliano, P. ; Taurino, A. ; Rella, R. ; D’Amico, A. / A mixed sensor array for the classification of the olive oil. Sensors and Microsystems - Proceedings of the 5th Italian Conference -- Extended to Mediterranean Countries. editor / Corrado Di Natale, Pietro Siciliano Arnaldo D'amico. Vol. 2000 2000. pp. 239-242

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title = "A mixed sensor array for the classification of the olive oil",

abstract = "Electronic noses using in the same array different sensor technologies have yet been proposed as a method to increase discrimination performances. In this paper two arrays based on porphyrins coated QMB and sol-gel prepared SnO2 sensors are evaluated, compared and integrated. Olive oil has been considered as a selected case. In case of QMB sensors LSER model has been utilized to predict the sensitivity towards relevant compounds in olive oil headspace. An outer product analysis has been utilized to compare the performances of both arrays.",

keywords = "Sensor Array, Sensor Array",

author = "Alessandro Mantini and Natale, {C. Di} and A. Macagnano and R. Paolesse and P. Siciliano and A. Taurino and R. Rella and A. D{\textquoteright}Amico",

year = "2000",

language = "English",

isbn = "978-981-02-4487-3",

volume = "2000",

pages = "239--242",

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booktitle = "Sensors and Microsystems - Proceedings of the 5th Italian Conference -- Extended to Mediterranean Countries",

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A mixed sensor array for the classification of the olive oil. / Mantini, Alessandro; Natale, C. Di; Macagnano, A.; Paolesse, R.; Siciliano, P.; Taurino, A.; Rella, R.; D’Amico, A.

Sensors and Microsystems - Proceedings of the 5th Italian Conference -- Extended to Mediterranean Countries. ed. / Corrado Di Natale, Pietro Siciliano Arnaldo D'amico. Vol. 2000 2000. p. 239-242.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - A mixed sensor array for the classification of the olive oil

AU - Mantini, Alessandro

AU - Natale, C. Di

AU - Macagnano, A.

AU - Paolesse, R.

AU - Siciliano, P.

AU - Taurino, A.

AU - Rella, R.

AU - D’Amico, A.

PY - 2000

Y1 - 2000

N2 - Electronic noses using in the same array different sensor technologies have yet been proposed as a method to increase discrimination performances. In this paper two arrays based on porphyrins coated QMB and sol-gel prepared SnO2 sensors are evaluated, compared and integrated. Olive oil has been considered as a selected case. In case of QMB sensors LSER model has been utilized to predict the sensitivity towards relevant compounds in olive oil headspace. An outer product analysis has been utilized to compare the performances of both arrays.

AB - Electronic noses using in the same array different sensor technologies have yet been proposed as a method to increase discrimination performances. In this paper two arrays based on porphyrins coated QMB and sol-gel prepared SnO2 sensors are evaluated, compared and integrated. Olive oil has been considered as a selected case. In case of QMB sensors LSER model has been utilized to predict the sensitivity towards relevant compounds in olive oil headspace. An outer product analysis has been utilized to compare the performances of both arrays.

KW - Sensor Array

UR - http://hdl.handle.net/10807/193762

M3 - Chapter

SN - 978-981-02-4487-3

VL - 2000

SP - 239

EP - 242

BT - Sensors and Microsystems - Proceedings of the 5th Italian Conference -- Extended to Mediterranean Countries

A2 - Arnaldo D'amico, Corrado Di Natale, Pietro Siciliano

ER -

A mixed sensor array for the classification of the olive oil

Abstract

Keywords

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