| Quality and statistical classification of brazilian vegetable oils using mid-infrared and Raman spectroscopy. | |
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MedLine Citation:
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PMID: 22524961 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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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. |
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Authors:
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Pieter Samyn; Dieter Van Nieuwkerke; Gustaaf Schoukens; Leo Vonck; Dirk Stanssens; Henk Van Den Aabbeele |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Applied spectroscopy Volume: 66 ISSN: 1943-3530 ISO Abbreviation: Appl Spectrosc Publication Date: 2012 May |
Date Detail:
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Created Date: 2012-04-24 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0372406 Medline TA: Appl Spectrosc Country: United States |
Other Details:
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Languages: eng Pagination: 552-65 Citation Subset: IM |
Affiliation:
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Albert-Lüdwigs-University Freiburg, Institute for Forest Utilization, Werthmannstrasse 6, D-79085 Freiburg, Germany. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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