A mixed sensor array for the classification of the olive oil

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

A mixed sensor array for the classification of the olive oil

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

Risultato della ricerca: Contributo in libro › 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.

Lingua originale	English
Titolo della pubblicazione ospite	Sensors and Microsystems - Proceedings of the 5th Italian Conference -- Extended to Mediterranean Countries
Editor	Corrado Di Natale, Pietro Siciliano Arnaldo D'amico
Pagine	239-242
Numero di pagine	4
Volume	2000
Stato di pubblicazione	Pubblicato - 2000
Pubblicato esternamente	Sì

Keywords

Sensor Array

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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 = "Natale, {C. Di} and A. Macagnano and Alessandro Mantini 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",

editor = "{Arnaldo D'amico}, {Corrado Di Natale, Pietro Siciliano}",

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. / Natale, C. Di; Macagnano, A.; Mantini, Alessandro et al.

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

Risultato della ricerca: Contributo in libro › Chapter

TY - CHAP

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

AU - Natale, C. Di

AU - Macagnano, A.

AU - Mantini, Alessandro

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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