FTIR Spectroscopy Combined with Partial Least Square for Analysis of Red Fruit Oil in Ternary Mixture System
Joint Authors
Riyanto, Sugeng
Rohman, Abdul
Setyaningrum, Dwi Larasati
Source
International Journal of Spectroscopy
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-21
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
FTIR spectroscopy is a promising method for quantification of edible oils.
Three edible oils, namely, red fruit oil (RFO), corn oil (CO), and soybean oil (SO), in ternary mixture system were quantitatively analyzed using FTIR spectroscopy in combination with partial least square (PLS).
FTIR spectra of edible oils in ternary mixture were subjected to several treatments including normal spectra and their derivative.
Using PLS calibration, the first derivative FTIR spectra can be exploited for determination of RFO; meanwhile, the second derivative spectra were preferred for determination of CO and SO.
The R2 values obtained for the relationship between actual and FTIR predicted values of RFO, CO, and SO were 0.9863, 0.9276, and 0.9693, respectively.
The root mean square error of calibration (RMSEC) values obtained were 1.59, 1.72, and 1.60% (v/v) for RFO, CO, and SO, respectively.
The result showed that FTIR spectroscopy offers accurate and reliable technique for quantitative analysis of RFO, CO, and SO simultaneously in ternary mixture systems.
Besides, the developed method can be extended for analysis of CO and SO as adulterants in RFO.
American Psychological Association (APA)
Rohman, Abdul& Setyaningrum, Dwi Larasati& Riyanto, Sugeng. 2014. FTIR Spectroscopy Combined with Partial Least Square for Analysis of Red Fruit Oil in Ternary Mixture System. International Journal of Spectroscopy،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-497963
Modern Language Association (MLA)
Rohman, Abdul…[et al.]. FTIR Spectroscopy Combined with Partial Least Square for Analysis of Red Fruit Oil in Ternary Mixture System. International Journal of Spectroscopy No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-497963
American Medical Association (AMA)
Rohman, Abdul& Setyaningrum, Dwi Larasati& Riyanto, Sugeng. FTIR Spectroscopy Combined with Partial Least Square for Analysis of Red Fruit Oil in Ternary Mixture System. International Journal of Spectroscopy. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-497963
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-497963