Advances in analysis of instrumental food sensory quality data

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Standard

Advances in analysis of instrumental food sensory quality data. / Bevilacqua, M.; Marini, F.; Biasioli, F.; Gasperi, F.

Instrumental Assessment of Food Sensory Quality: A Practica Guide. ed. / David Kilcast. Woodhead Publishing, 2013. p. 313 - 352 (Woodhead Publishing Series in Food Science, Technology and Nutrition).

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Harvard

Bevilacqua, M, Marini, F, Biasioli, F & Gasperi, F 2013, Advances in analysis of instrumental food sensory quality data. in D Kilcast (ed.), Instrumental Assessment of Food Sensory Quality: A Practica Guide. Woodhead Publishing, Woodhead Publishing Series in Food Science, Technology and Nutrition, pp. 313 - 352. https://doi.org/10.1533/9780857098856.2.313

APA

Bevilacqua, M., Marini, F., Biasioli, F., & Gasperi, F. (2013). Advances in analysis of instrumental food sensory quality data. In D. Kilcast (Ed.), Instrumental Assessment of Food Sensory Quality: A Practica Guide (pp. 313 - 352). Woodhead Publishing. Woodhead Publishing Series in Food Science, Technology and Nutrition https://doi.org/10.1533/9780857098856.2.313

Vancouver

Bevilacqua M, Marini F, Biasioli F, Gasperi F. Advances in analysis of instrumental food sensory quality data. In Kilcast D, editor, Instrumental Assessment of Food Sensory Quality: A Practica Guide. Woodhead Publishing. 2013. p. 313 - 352. (Woodhead Publishing Series in Food Science, Technology and Nutrition). https://doi.org/10.1533/9780857098856.2.313

Author

Bevilacqua, M. ; Marini, F. ; Biasioli, F. ; Gasperi, F. / Advances in analysis of instrumental food sensory quality data. Instrumental Assessment of Food Sensory Quality: A Practica Guide. editor / David Kilcast. Woodhead Publishing, 2013. pp. 313 - 352 (Woodhead Publishing Series in Food Science, Technology and Nutrition).

Bibtex

@inbook{044a567a9eb74596885702b0191dbfdc,
title = "Advances in analysis of instrumental food sensory quality data",
abstract = "Abstract: 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 visualization of the results.",
keywords = "classification",
author = "M. Bevilacqua and F. Marini and F. Biasioli and F. Gasperi",
year = "2013",
doi = "10.1533/9780857098856.2.313",
language = "English",
isbn = "978-0-85709-439-1",
series = "Woodhead Publishing Series in Food Science, Technology and Nutrition",
publisher = "Woodhead Publishing",
pages = "313 -- 352",
editor = "David Kilcast",
booktitle = "Instrumental Assessment of Food Sensory Quality",

}

RIS

TY - CHAP

T1 - Advances in analysis of instrumental food sensory quality data

AU - Bevilacqua, M.

AU - Marini, F.

AU - Biasioli, F.

AU - Gasperi, F.

PY - 2013

Y1 - 2013

N2 - Abstract: 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 visualization of the results.

AB - Abstract: 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 visualization of the results.

KW - classification

U2 - 10.1533/9780857098856.2.313

DO - 10.1533/9780857098856.2.313

M3 - Book chapter

SN - 978-0-85709-439-1

T3 - Woodhead Publishing Series in Food Science, Technology and Nutrition

SP - 313

EP - 352

BT - Instrumental Assessment of Food Sensory Quality

A2 - Kilcast, David

PB - Woodhead Publishing

ER -

ID: 228372860