Evaluation of Multivariate Calibration with RADIAN ASAP Data for the Quantitation of Edible Oil Blends

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Daniel Ng
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The RADIAN ASAP is a compact and rapid analytical tool which facilitates decisions to be made faster. In this study, data from the RADIAN ASAP was used to create and validate a multivariate calibration model for the determination of the proportion of individual oils in blends of extra virgin coconut oil and soybean oil. The OPLS loading plots provide mass spectral information which can support putative identification of possible markers which can be confirmed using direct analysis on a high-resolution mass spectrometer.

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