The non-destructive nature of spectroscopy as a modern analytical method for food analysis is particularly attractive for rapid quality checks. This paper shows how Raman spectroscopy can be used for assessing the nutraceutic properties of lyophilized blueberries which were selected at different ripeness. The Raman spectra of powder samples were processed together with their reference data by means of Principal Component Analysis for classifying the ripeness. Then, Partial Least Square regression was applied, so as to create predictive models for quantifying the total content of anthocyanins as well as their sub-groups.

Raman spectroscopy for analyzing anthocyanins of lyophylized blueberries

L Ciaccheri;AA Mencaglia;AG Mignani
2015

Abstract

The non-destructive nature of spectroscopy as a modern analytical method for food analysis is particularly attractive for rapid quality checks. This paper shows how Raman spectroscopy can be used for assessing the nutraceutic properties of lyophilized blueberries which were selected at different ripeness. The Raman spectra of powder samples were processed together with their reference data by means of Principal Component Analysis for classifying the ripeness. Then, Partial Least Square regression was applied, so as to create predictive models for quantifying the total content of anthocyanins as well as their sub-groups.
2015
Istituto di Fisica Applicata - IFAC
Inglese
IEEE-Sensors 2015
243
246
4
978-1-4799-8203-5
http://ieeexplore.ieee.org/document/7370224/
Sì, ma tipo non specificato
01/11/2015, 04/11/2015
Busan, South Korea
Raman spectroscopy
Chemometrics
Blueberries
Anthocyanins
8
none
Gordilloarrobas, B; Ciaccheri, L; Mencaglia, Aa; Rodriguezpulido, Fj; Stinco, C; Gonzalezmiret, Ml; Heredia, Fj; Mignani, Ag
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/322747
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