Monitoring PV in corn and soybean oils by NIR spectroscopy |
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Authors: | Gülgün Yildiz Randy L Wehling Susan L Cuppett |
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Affiliation: | (1) Present address: Olive Culture Research Institute, Universite Cd. No. 43, 3500 Bornova-Izmir, Turkey;(2) Department of Food Science and Technology, University of Nebraska, 143 Filley Hall, 68583-0919 Lincoln, NE |
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Abstract: | NIR spectroscopy was used successfully in our laboratory to monitor oxidation levels in vegetable oils. Calibration models
were developed to measure PV in both soy and corn oils, using partial least squares (PLS) regression and forward stepwise
multiple linear regression, from NIR transmission spectra. PV can be measured successfully in both corn and soy oils using
a single calibration. The most successful calibration was based on PLS regression of first derivative spectra. When this calibration
was applied to validation sample sets containing equal numbers of corn and soy oil samples, with PV ranging from 0 to 20 meq/kg,
a correlation coefficient of 0.99 between titration and NIR values was obtained, with a standard error of prediction equal
to 0.72 meq/kg. For both types of oil, changes occurred in the 2068 nm region of the NIR spectra as oxidation levels increased.
These changes appear to be associated with the formation of hydroperoxides during oxidation of the oils. |
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Keywords: | Corn oil edible oil forward stepwise multiple linear (FSML) regression lipid oxidation multiple linear regression near-infrared spectroscopy partial least squares (PLS) regression peroxide value soy oil |
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