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Quantification of blockiness in pectins—A comparative study using vibrational spectroscopy and chemometrics
Authors:Hanne Winning  Nanna Viereck  Jan Larsen
Affiliation:a Quality and Technology, Department of Food Science, Faculty of Life Sciences, University of Copenhagen, Rolighedsvej 30, 1958 Frederiksberg C, Denmark
b CP Kelco, Ved Banen 16, 4623 Lille Skensved, Denmark
Abstract:The gelling properties of pectins are related not only to the degree of esterification (DE), but also to the distribution of the ester groups. In this study, we have examined an experimentally designed series of 31 pectins originating from the same mother pectin and de-esterified using combinations of two different enzymatic mechanisms. The potential of using infrared (IR), Raman, and near infrared (NIR) spectroscopies combined with chemometrics for reliable and rapid determination of the DE and distribution patterns of methyl ester groups in a designed set of pectin powders was investigated. Quantitative calibration models using partial least squares (PLS) regression were developed and compared. The calibration models for prediction of DE obtained on extended inverse signal correction (EISC)-treated spectra of all three spectroscopic methods yielded models with cross-validated prediction errors (RMSECV) between 1.1%p and 1.6%p DE and correlation coefficients of 0.99. A calibration model predicting degree of random de-esterification (R) and block de-esterification (B) was developed for each spectroscopic method, yielding RMSECV values between 4.4 and 6.7 and correlation coefficients (r) between 0.79 and 0.92. Variable selection using interval PLS (iPLS) significantly improved the prediction of R for IR spectroscopy, yielding RMSECV of 3.5 and correlation coefficients of 0.95. All three spectroscopic methods were able to distinguish the spectral patterns of pectins with different enzyme treatments in simple classification models by principal component analysis (PCA). Extended canonical variate analysis revealed one specific signal in the Raman (1045 cm−1) spectrum and one significant area (1250-1400 cm−1) in the IR spectrum which are able to classify the pectin samples according to the four different enzyme treatments. In both Raman and IR spectra, the signal intensity decreased in the sequence R-B > B > B-R > R > re-methylated pectin.
Keywords:GalA, galacturonic acid   HGA, homogalacturonan   DE, degree of esterification   DP, degree of polymerization   RG-I, rhamnogalacturonan-I   Rhap, ramnopyranosyl unit   PME, pectin methyl esterase   B, block de-esterification   R, random de-esterification   IR, infrared   NIR, near infrared   FT, Fourier transformed   PC, principal component   LV, latent variables   PCA, principal component analysis   CV, cross-validation   RMSECV, root mean square of cross-validation   PLS, partial least square   iPLS, interval partial least square   ECVA, extended canonical variates analysis   EISC, extended inverted signal correction   r, correlation coefficient   %p, percent points
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