This chapter presents an overview of the main multivariate data analytical tools to deal with problems normally encountered in the instrumental evaluation of food quality (exploratory analysis, calibration and classification). Particular attention is given to the family of methods based on projection on a low-dimensional subspace of latent variables, as they have the advantages of allowing the analysis of data where many correlated variables are measured on a limited number of samples (which is often the case in instrumental assessment of food quality) and an easy and straightforward visualisation of the results.
Citation: | Bevilacqua, M.; Marini, F.; Biasioli, F.; Gasperi, F. (2013). Advances in analysis of instrumental food sensory quality data. In: Instrumental assessment of food sensory quality : a practical guide (editor(s) Kilcast, D.). Oxford: Woodhead Publishing: 313-352. ISBN: 978-0-85709-439-1 doi: 10.1533/9780857098856.2.313. handle: http://hdl.handle.net/10449/22799 |
Internal authors: | |
Organization unit: | Food Quality and Nutrition Department # CRI_2011-JAN2016 |
Authors: | Bevilacqua, M.; Marini, F.; Biasioli, F.; Gasperi, F. |
Title: | Advances in analysis of instrumental food sensory quality data |
Scientific Disciplinary Area: | CHIM/10 CHIMICA DEGLI ALIMENTI |
Keywords ENG: | Chemometrics Multivariate data analysis Exploratory data analysis Regression Classification |
Book editors: | Kilcast, D. |
Book title: | Instrumental assessment of food sensory quality : a practical guide |
Series/Report no.: | Woodhead publishing series in food science, technology and nutrition, 253 |
Publisher name: | Woodhead Publishing |
Issue Date: | 2013 |
ISBN: | 978-0-85709-439-1 |
Nature of content: | Contributo in volume (Capitolo o Saggio)/Book chapter (Chapter or Essay) |
Digital Object Identifier (DOI): | 10.1533/9780857098856.2.313 |
Appears in Collections: | 02 - Book chapter |
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