Application of near-infrared spectroscopy to characterize binary blends of palm and canola oils

• FTNIR spectra and pre-processing of blends of palm oil and canola oil samples.
• Rapid determination of iodine value, free fatty acid and peroxide value by FTNIR.
• Simultaneous determination of quality parameters for blends of vegetable oils.
• Excellent correlation between the calculated values and PLS models.

This work evaluated essential quality parameters of binary blends of vegetable oils using a rapid and non-destructive method namely Fourier transform near-infrared (FTNIR) spectroscopy. Crude palm oil and canola oil from different vendors were blended at different ratios to obtain 40 oil samples with wide ranges of iodine values (IV), free fatty acids (FFA) and peroxide values (PV). FTNIR spectra of these oil samples were acquired and used in the calibration and test validation steps. The IV, FFA and PV of the oil samples were analyzed by AOCS methods. The FTNIR spectra were correlated to the AOCS data using partial least squares (PLS) regression. Calibration models were developed after test validation. The chemometric models were further improved through spectral processing. The optimal models were first derivative and first derivative + straight line subtraction. For IV, coefficient of determination (R2) = 0.98; root mean square error of prediction (RMSEP) = 2.54 and residual predictive deviation (RPD) = 6.11. The values for FFA were R2 = 0.9927; RMSEP = 0.35 and RPD = 11.6. While the values for PV were R2 = 0.9722; RMSEP = 0.49 and RPD = 6.4. The simultaneous characterization of the essential chemical quality parameters of vegetable oil blends by FTNIR spectroscopy is reported.

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