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Determination of peroxide value in thermally oxidized crude palm oil by near infrared spectroscopy
Author(s) -
Moh M. H.,
Che Man Y. B.,
de Voort F. R.,
Abdullah W. J. W.
Publication year - 1999
Publication title -
journal of the american oil chemists' society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.512
H-Index - 117
eISSN - 1558-9331
pISSN - 0003-021X
DOI - 10.1007/s11746-999-0042-2
Subject(s) - calibration , partial least squares regression , near infrared spectroscopy , oxidizing agent , peroxide value , correlation coefficient , analytical chemistry (journal) , coefficient of determination , palm oil , residual , spectroscopy , chemistry , standard error , infrared spectroscopy , materials science , mathematics , chromatography , optics , statistics , physics , algorithm , organic chemistry , food science , quantum mechanics
A near infrared (NIR) spectroscopic method was developed to measure peroxide value (PV) in crude palm oil (CPO). Calibration standards were prepared by oxidizing CPO in a fermentor at 90°C. A partial least squares (PLS) calibration model for predicting PV was developed based on the NIR spectral region from 1350 to 1480 nm with reference to single‐point baseline at 1514 nm. The optimization of calibration factors was guided by the predicted residual error sum of squares test. The standard error of calibration obtained was 0.156 over the analytical range of 2.17–10.28 PV and the correlation coefficient ( R 2 ) was 0.994. The method was validated with an independent set of samples which was prepared in the same manner on a different day. A linear relationship between the American Oil Chemists’ Society and the NIR methods was obtained with R 2 of 0.996 and standard error of performance of 0.17. This study has demonstrated that the prediction of PV in the NIR region is possible. The method developed is rapid, with total analysis time less than 2 min, is environmentally friendly, and its accuracy is generally good for quality control of CPO.