@article{Rayakorn Nokkaew_Vittaya Punsuvon_Tetsuya Inagaki_Satoru Tsuchikawa_2019, title={DETERMINATION OF CAROTENOIDS AND DOBI CONTENT IN CRUDE PALM OIL BY SPECTROSCOPY TECHNIQUES: COMPARISON OF RAMAN AND FT-NIR SPECTROSCOPY}, volume={16}, url={https://geomatejournal.com/geomate/article/view/2485}, abstractNote={<p>Crude palm oil (CPO) is a rich source of carotenoids which are a precursor of vitamin A as an important antioxidant. Carotenoids and Deterioration Of Bleachability Index (DOBI) are important factors to indicated quality of CPO. The conventional method for DOBI and carotenoids determination use UV-Vis spectrophotometry and HPLC, respectively which methods use solvents and spend time for analysis. This research interests Raman and FT-NIR spectroscopy for carotenoids and DOBI determination due to those techniques are an alternative technique for rapid measurement, non-destruction of material, and environmental suitability. The results indicated that Raman is better for determination than FT-NIR spectrometry. In Raman analysis, multiplicative scatter correction (MSC) and standard normal variate (SNV) treated methods were the best models for carotenoids and DOBI, respectively. The bands of carotenoids were at 1,100 and 1,500 cm<sup>-1</sup> wavenumber. Validation on carotenoids produced 0.94 of correlation coefficient (R), 0.88 of coefficient of determination (R<sup>2</sup>), 40.65 ppm of root mean square error of prediction (RMSEP) and 3.25 of theratio of standard error of prediction to standard deviation(RPD). The validation of DOBI produced 0.76 of R, 0.57 of R<sup>2</sup>, 0.31 of RMSEP, 1.92 of RPD of 1.92. The limitation of carotenoids and DOBI determination using FT-NIR is having sufficient concentration of carotenoids for analysis. In addition, data for various samples regarding location, season, and oil palm species are important to build models for precise prediction. </p>}, number={55}, journal={GEOMATE Journal}, author={Rayakorn Nokkaew and Vittaya Punsuvon and Tetsuya Inagaki and Satoru Tsuchikawa}, year={2019}, month={Mar.}, pages={92–98} }