Analysis 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

Riyanto S., . and Riyanta A. B., . and Lukitaningsih E., . and Rohman A., . Analysis 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. pp. 248-253. ISSN 2550-2166

Soybean oil (SBO) sunflower oil (SFO) and grapeseed oil (GPO) contain high levels of unsaturated 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 is used as adulteration for gains. Therefore authentication is required to ensure the purity of oils by proper analysis. This research was aimed to highlight the FTIR spectroscopy application with multivariate calibration is a potential analysis for scanning the quaternary mixture of CNO SBO SFO and GPO. CNO quantification was performed using multivariate calibrations of principle component (PCR) regression and partial least (PLS) square to predict the model from the optimization FTIR spectra regions. The highest R and the lowest values of root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP) were used as the basis for selection of multivariate calibrations created using several wavenumbers region of FTIR spectra. Wavenumbers regions of 4000-650 cm- from the second derivative FTIR-ATR spectra using PLS was used for quantitative analysis of CNO in quaternary mixture with SBO SFO and GPO with R calibration 0.9942 and 0.0239 for RMSEC value and 0.0495. So it can be concluded the use of FTIR spectra combination with PLS is accurate to detect quaternary mixtures of CNO SBO SFO and GPO with the highest R values and the lowest RMSEC and RMSEP values.

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Abstract

Soybean oil (SBO) sunflower oil (SFO) and grapeseed oil (GPO) contain high levels of unsaturated 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 is used as adulteration for gains. Therefore authentication is required to ensure the purity of oils by proper analysis. This research was aimed to highlight the FTIR spectroscopy application with multivariate calibration is a potential analysis for scanning the quaternary mixture of CNO SBO SFO and GPO. CNO quantification was performed using multivariate calibrations of principle component (PCR) regression and partial least (PLS) square to predict the model from the optimization FTIR spectra regions. The highest R and the lowest values of root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP) were used as the basis for selection of multivariate calibrations created using several wavenumbers region of FTIR spectra. Wavenumbers regions of 4000-650 cm- from the second derivative FTIR-ATR spectra using PLS was used for quantitative analysis of CNO in quaternary mixture with SBO SFO and GPO with R calibration 0.9942 and 0.0239 for RMSEC value and 0.0495. So it can be concluded the use of FTIR spectra combination with PLS is accurate to detect quaternary mixtures of CNO SBO SFO and GPO with the highest R values and the lowest RMSEC and RMSEP values.

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Item Type:	Article
AGROVOC Term:	Spectroscopy
AGROVOC Term:	Spectrophotometers
AGROVOC Term:	Aleurites moluccana
AGROVOC Term:	Nuts
AGROVOC Term:	Adulteration
AGROVOC Term:	Calibration
AGROVOC Term:	Oilseeds
AGROVOC Term:	Soybean oil
AGROVOC Term:	Sunflower oil
AGROVOC Term:	Unsaturated fats
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:55
URI:	http://webagris.upm.edu.my/id/eprint/10410

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