COMPARATIVE VIBRATIONAL SPECTROSCOPY FOR DETERMINATION OF QUALITY PARAMETERS IN AMIDATED PECTINS AS EVALUATED BY CHEMOMETRICS

Citation
Sb. Engelsen et L. Norgaard, COMPARATIVE VIBRATIONAL SPECTROSCOPY FOR DETERMINATION OF QUALITY PARAMETERS IN AMIDATED PECTINS AS EVALUATED BY CHEMOMETRICS, Carbohydrate polymers, 30(1), 1996, pp. 9-24
Citations number
27
Categorie Soggetti
Chemistry Inorganic & Nuclear","Polymer Sciences
Journal title
ISSN journal
01448617
Volume
30
Issue
1
Year of publication
1996
Pages
9 - 24
Database
ISI
SICI code
0144-8617(1996)30:1<9:CVSFDO>2.0.ZU;2-2
Abstract
The potential of vibrational spectroscopy and chemometrics as a reliab le and fast method for the determination of important gel-forming para meters in amidated pectins has been investigated. For a set of 98 amid ated pectin samples, six complete spectroscopic ensembles were recorde d including NIR, FT-NIR, FT-IR and NIR FT-Raman spectroscopy. For each spectroscopic ensemble, quantitative models based on partial least sq uares regression (PLS) have been developed and compared. Chemometric m odels were constructed by dividing the spectroscopic ensembles up into a calibration set of 73 samples and an independent test set of 25 sam ples to evaluate the predictive ability of the models. The 98 amidated pectin samples span a degree of esterification (%DE) between 20 and 5 5% and a degree of amidation (%DA) between 4 and 24 per cent. From all six spectroscopic ensembles quantitative PLS models were obtained for %DE and %DA with RMSEP (root mean square error of prediction) ranging between 1.5 and 2.1 and between 1.1 and 2.1 for %DE and %DA respectiv ely. In both cases the results are comparable to that of the experimen tal error of the quantitative chemical determination. Finally, differe nt ways of selecting FT-IR spectral elements (variables) to correlate with %DE were compared. The method of principal variables (PV) was fou nd to be superior to methods based on knowledge based selection and th e resulting PV-based model was found to be slightly better than the PL S model using the full spectral information. Copyright (C) 1996 Elsevi er Science Ltd