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Application of Near-Infrared spectroscopy for the in-situ monitoring of color and moisture content of roasted and ground coffee

Carol Tartara

Application of Near-Infrared spectroscopy for the in-situ monitoring of color and moisture content of roasted and ground coffee.

Rel. Francesco Savorani, Mattia Ardizio, Alberto Cabilli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Chimica E Dei Processi Sostenibili, 2022

Abstract:

This thesis work is focused on the evaluation of FT-NIR spectroscopy as an analytical technique for determining color and moisture content (%) of roasted and ground coffee samples of different varieties, geographical origins and roasting process procedures. Color and moisture are two of the most relevant parameters for assessing the quality of roasted coffee. From the obtained results, NIR spectroscopy has proven to be a reliable and robust analytical technique, faster and nondestructive than currently used reference methods, which can be implemented in the industrial process to simultaneously monitor multiple coffee quality parameters after each roast. NIR analysis of more than 400 samples made it possible, through the use of multivariate statistical analysis methods, to find the best pre-processing procedure for the obtained spectral data and to build robust calibration models for real-time and in situ determination of color and moisture content values. The study was carried out at the Gattinara plant of Luigi Lavazza S.p.A., a world leader in the production of roasted coffee beans and blends.

Relatori: Francesco Savorani, Mattia Ardizio, Alberto Cabilli
Anno accademico: 2022/23
Tipo di pubblicazione: Elettronica
Numero di pagine: 80
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ingegneria Chimica E Dei Processi Sostenibili
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-22 - INGEGNERIA CHIMICA
Aziende collaboratrici: Luigi Lavazza SpA
URI: http://webthesis.biblio.polito.it/id/eprint/24078
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