TILIA HONEY’S FRUCTOSE, GLUCOSE AND SUCROSE CONTENT PREDICTION USING FT-IR SPECTRA WITH PARTIAL LEAST SQUARES REGRESSION

TILIA HONEY’S FRUCTOSE, GLUCOSE AND SUCROSE CONTENT PREDICTION USING FT-IR SPECTRA WITH PARTIAL LEAST SQUARES REGRESSION

The aim of this study was to assess the usefulness of Fourier transform infrared (FT-IR) spectroscopy coupled with partial least squares regression (PLS-R) to predict the fructose, glucose and sucrose content of tilia honeys. In order to achieve the aim of this study, 22 samples of tilia honey were...

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Bibliographic Details
Main Authors: Daniela PAULIUC, Paula CIURSA, Florina DRANCA, Sorina ROPCIUC, Mircea OROIAN
Format: article
Language:EN
Published: Stefan cel Mare University of Suceava 2020
Subjects:
tilia honey
fructose
glucose
sucrose
ft-ir
prediction
Food processing and manufacture
TP368-456
Online Access:https://doaj.org/article/552549585d2b42c9871f6c55ff8282cb
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