Document Detail

Quality and statistical classification of brazilian vegetable oils using mid-infrared and Raman spectroscopy.
MedLine Citation:
PMID:  22524961     Owner:  NLM     Status:  In-Data-Review    
Palm oil, soy oil, sunflower oil, corn oil, castor oil, and rapeseed oil were analyzed with Fourier transform infrared (FT-IR) and FT-Raman spectroscopy. The quality of different oils was evaluated and statistically classified by principal component analysis (PCA) and a partial least squares (PLS) regression model. First, a calibration set of spectra was selected from one sampling batch. The qualitative variations in spectra are discussed with a prediction of oil composition (saturated, mono- and polyunsaturated fatty acids) from mid-infrared analysis and iodine value from FT-Raman analysis, based on ratioing the intensity of bands at given wavenumbers. A more robust and convincing oil classification is obtained from two-parameter statistical models. The statistical analysis of FT-Raman spectra favorably distinguishes according to the iodine value, while the mid-infrared spectra are most sensitive to hydroxyl moieties. Second, the models are validated with a set of spectra from another sampling batch, including the same oil types as-received and after different aging times together with a hydrogenated castor oil and high-oleic sunflower oil. There is very good agreement between the model predictions and the Raman measurements, but the statistical significance is lower for mid-infrared spectra. In the future, this calibration model will be used to check vegetable oil qualities before using them in polymerization processes.
Pieter Samyn; Dieter Van Nieuwkerke; Gustaaf Schoukens; Leo Vonck; Dirk Stanssens; Henk Van Den Aabbeele
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Applied spectroscopy     Volume:  66     ISSN:  1943-3530     ISO Abbreviation:  Appl Spectrosc     Publication Date:  2012 May 
Date Detail:
Created Date:  2012-04-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0372406     Medline TA:  Appl Spectrosc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  552-65     Citation Subset:  IM    
Albert-Lüdwigs-University Freiburg, Institute for Forest Utilization, Werthmannstrasse 6, D-79085 Freiburg, Germany.
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