4.5 Article

Quantification of blockiness in pectins-A comparative study using vibrational spectroscopy and chemometrics

期刊

CARBOHYDRATE RESEARCH
卷 344, 期 14, 页码 1833-1841

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.carres.2008.10.015

关键词

Pectin; Infrared spectroscopy; Raman spectroscopy; Near infrared spectroscopy; Chemometrics; Blockiness

资金

  1. Danish National Advanced Technology Foundation

向作者/读者索取更多资源

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 > BR > R > re-methylated pectin. (C) 2008 Elsevier Ltd. All rights reserved.

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