Two groups of seven coffees have been analyzed with the Pico-1 Electronic Nose (EN) developed at the Brescia University. Inside each group, coffees have been classified with PCA and Multilayer Perceptrons (MLP) giving classification rates above 90%. Cups of coffee were analyzed by two panels of trained judges who assessed quantitative descriptors and a global index (Hedonic Index, III) characterizing the sensorial appeal of the coffee. These parameters were predicted starting from the measurements performed with Pico-1 The standard deviation for the prediction of the HI are comparable to the uncertainty of the HI itself (0.2 on a 1 to 9 scale).

Electronic Nose for coffee quality control

Pardo M;
2001

Abstract

Two groups of seven coffees have been analyzed with the Pico-1 Electronic Nose (EN) developed at the Brescia University. Inside each group, coffees have been classified with PCA and Multilayer Perceptrons (MLP) giving classification rates above 90%. Cups of coffee were analyzed by two panels of trained judges who assessed quantitative descriptors and a global index (Hedonic Index, III) characterizing the sensorial appeal of the coffee. These parameters were predicted starting from the measurements performed with Pico-1 The standard deviation for the prediction of the HI are comparable to the uncertainty of the HI itself (0.2 on a 1 to 9 scale).
2001
Electronic Nose
thin film sensors
multilayer perceptrons
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/20589
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact