Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Non-destructive Method For Determination Of Hydroxyl Value Of Soybean Polyol By Ls-svm Using Hatr/ft-ir
Author: Ferrao M.F.
Godoy S.C.
Gerbase A.E.
Mello C.
Furtado J.C.
Petzhold C.L.
Poppi R.J.
Abstract: This paper presents the use of least-squares support vector machine (LS-SVM) for quantitative determination of hydroxyl value (OHV) of hydroxylated soybean oils by horizontal attenuated total reflection Fourier transform infrared (HATR/FT-IR) spectroscopy. A least-squares support vector machine (LS-SVM) calibration model for the prediction of hydroxyl value (OHV) was developed using the range 1805.1-649.9 cm-1. Validation of the method was carried out by comparing the OHV of a series of hydroxylated soybean oil predicted by the LS-SVM model to the values obtained by the AOCS standard method. A correlation coefficient equal to 0.989 and RMSEP = 4.96 mg of KOH/g was obtained. This study demonstrates a better prediction ability of the LS-SVM technique to determine OHV in hydroxylated soybean oil samples by HATR/FT-IR spectra. © 2007 Elsevier B.V. All rights reserved.
Rights: fechado
Identifier DOI: 10.1016/j.aca.2007.02.066
Date Issue: 2007
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-34250806538.pdf386.4 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.