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Authentication analysis of red fruit (Pandanus conoideus Lam) oil using FTIR spectroscopy in combination with chemometrics


Abdul Rohman, and Che Man, Yaakob and Riyanto, Sugeng (2011) Authentication analysis of red fruit (Pandanus conoideus Lam) oil using FTIR spectroscopy in combination with chemometrics. Phytochemical Analysis, 22 (5). pp. 462-467. ISSN 0958-0344; ESSN: 1099-1565


Introduction: Red fruit (Pandanus conoideus Lam) is endemic plant of Papua, Indonesia and Papua New Guinea. The price of its oil (red fruit oil, RFO) is 10–15 times higher than that of common vegetable oils; consequently, RFO is subjected to adulteration with lower price oils. Among common vegetable oils, canola oil (CaO) and rice bran oil (RBO) have similar fatty acid profiles to RFO as indicated by the score plot of principal component analysis; therefore, CaO and RBO are potential adulterants in RFO. Objective: To develop FTIR spectroscopy in combination with chemometrics of partial least square regression (PLSR) and discriminant analysis (DA) for authentication of RFO from CaO and RBO. Results: The presence of CaO in RFO was better determined at frequency regions of 1200–1050 cm−1; meanwhile, the combined frequency ranges of 1207–1078 and 1747–1600 cm−1 were exploited for quantitative analysis of RBO with acceptable values of coefficient of determination (R2) and errors in calibration, prediction and during cross validation. DA based on Mahalanobis distance was able to discriminate between RFO and RFO adulterated with CaO and RBO. Conclusion: FTIR spectroscopy combined with PLSR and DA can be successfully used for quantification and classification of oil adulterants in RFO. The developed method is rapid and environmentally friendly and sample preparation is easy.

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Additional Metadata

Item Type: Article
Divisions: Halal Products Research Institute
DOI Number: https://doi.org/10.1002/pca.1304
Publisher: John Wiley & Sons
Keywords: FTIR spectroscopy; Partial least square regression; Discriminant analysis; Authentication
Depositing User: Nur Farahin Ramli
Date Deposited: 21 Oct 2013 01:42
Last Modified: 22 Apr 2016 08:06
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1002/pca.1304
URI: http://psasir.upm.edu.my/id/eprint/24142
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