Open AccessAnalysis of candlenut oil as oil adulterant in three functional oils of soybean oil, sunflower oil and grapeseed oil in quaternary mixture systems using FTIR spectroscopy and chemometrics
Author(s) -
Aldi Budi Riyanta,
Sugeng Riyanto,
Endang Lukitaningsih,
Abdul Rohman
Publication year - 2021
Publication title -
food research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 7
ISSN - 2550-2166
DOI - 10.26656/fr.2017.5(2).443
Subject(s) - soybean oil , sunflower oil , fourier transform infrared spectroscopy , vegetable oil , chemometrics , partial least squares regression , calibration , chemistry , sunflower seed , multivariate statistics , adulterant , chromatography , mathematics , sunflower , organic chemistry , statistics , food science , chemical engineering , combinatorics , engineering
Soybean oil (SBO), sunflower oil (SFO) and grapeseed oil (GPO) contain high levels ofunsaturated fats that are good for health and have proximity to candlenut oil. Candlenut oil(CNO) has a lower price and easier to get oil from that seeds than other seed oils, so it isused as adulteration for gains. Therefore, authentication is required to ensure the purity ofoils by proper analysis. This research was aimed to highlight the FTIR spectroscopyapplication with multivariate calibration is a potential analysis for scanning the quaternarymixture of CNO, SBO, SFO and GPO. CNO quantification was performed usingmultivariate calibrations of principle component (PCR) regression and partial least (PLS)square to predict the model from the optimization FTIR spectra regions. The highest R2and the lowest values of root mean square error of calibration (RMSEC) and root meansquare error of prediction (RMSEP) were used as the basis for selection of multivariatecalibrations created using several wavenumbers region of FTIR spectra. Wavenumbersregions of 4000-650 cm-1from the second derivative FTIR-ATR spectra using PLS wasused for quantitative analysis of CNO in quaternary mixture with SBO, SFO and GPOwith R2calibration = 0.9942 and 0.0239% for RMSEC value and 0.0495%. So, it can beconcluded the use of FTIR spectra combination with PLS is accurate to detect quaternarymixtures of CNO, SBO, SFO and GPO with the highest R2values and the lowest RMSECand RMSEP values.