Abstract
Near infrared spectroscopy calibrations for rapid oil content determination of dried-ground oil
palm mesocarp and kernel were developed. Samples were analyzed, one set using the Soxhlet extraction
method for reference analysis and the other set scanned by near infrared spectroscopy instrument for
calibration. Successful calibrations were obtained with good accuracy and precision for mesocarp and
kernel, based on statistical models. Math treatment and scatter correction had significant effects on
the fitting of the calibration model. The best obtained calibration models were demonstrated by multiple
correlation coefficient (R2), standard error of calibration, standard error of cross
validation, coefficient of determination in cross validation (1-VR) and relative predictive deviation of
calibration, which respectively were 0.997, 1.21%, 1.23%, 0.997 and 17.89 for mesocarp and 0.952, 0.47%,
0.53%, 0.94 and 4.00 for kernel. The correlations between reference and predicted values for samples in
the validation sets were in agreement with high linearity, high ratio performance to deviation of
prediction (≥4.00) and low standard error of prediction samples for both samples. The results
demonstrated that near infrared spectroscopy can be used as an alternative and reliable technique to
estimate the mesocarp and kernel oil contents in dry matter basis accurately and rapidly.
© 2017 The Author(s)
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