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Application of Fourier transform infrared spectroscopy and orthogonal projections to latent structures/partial least squares regression for estimation of procyanidins average degree of polymerisation
- Source :
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Analytica Chimica Acta . Feb2010, Vol. 661 Issue 2, p143-149. 7p. - Publication Year :
- 2010
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Abstract
- Abstract: Fourier transform infrared (FTIR) spectroscopy has being emphasised as a widespread technique in the quick assess of food components. In this work, procyanidins were extracted with methanol and acetone/water from the seeds of white and red grape varieties. A fractionation by graded methanol/chloroform precipitations allowed to obtain 26 samples that were characterised using thiolysis as pre-treatment followed by HPLC-UV and MS detection. The average degree of polymerisation (DPn) of the procyanidins in the samples ranged from 2 to 11 flavan-3-ol residues. FTIR spectroscopy within the wavenumbers region of 1800–700cm−1 allowed to build a partial least squares (PLS1) regression model with 8 latent variables (LVs) for the estimation of the DPn, giving a RMSECV of 11.7%, with a R 2 of 0.91 and a RMSEP of 2.58. The application of orthogonal projection to latent structures (O-PLS1) clarifies the interpretation of the regression model vectors. Moreover, the O-PLS procedure has removed 88% of non-correlated variations with the DPn, allowing to relate the increase of the absorbance peaks at 1203 and 1099cm−1 with the increase of the DPn due to the higher proportion of substitutions in the aromatic ring of the polymerised procyanidin molecules. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 00032670
- Volume :
- 661
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Analytica Chimica Acta
- Publication Type :
- Academic Journal
- Accession number :
- 47826740
- Full Text :
- https://doi.org/10.1016/j.aca.2009.12.028