id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fens-748	PAULIUC, Daniela; CIURSA, Paula; DRANCA, Florina; ROPCIUC, Sorina; OROIAN, Mircea	TILIA HONEY’S FRUCTOSE, GLUCOSE AND SUCROSE CONTENT PREDICTION USING FT-IR SPECTRA WITH PARTIAL LEAST SQUARES REGRESSION	2021	7	.pdf	application/pdf	2153	94	51	Abstract: 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 purchased from Suceava, Neamt and Iasi County in the year of 2020.	cache/fens-748.pdf	txt/fens-748.txt