Journal of Oleo Science
Online ISSN : 1347-3352
Print ISSN : 1345-8957
ISSN-L : 1345-8957
Oils and Fats
Detection of Butter Adulteration with Lard by Employing 1H-NMR Spectroscopy and Multivariate Data Analysis
Nurrulhidayah Ahmad FadzillahYaakob bin Che ManAbdul RohmanArieff Salleh RosmanAmin IsmailShuhaimi MustafaAlfi khatib
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2015 Volume 64 Issue 7 Pages 697-703

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Abstract

The authentication of food products from the presence of non-allowed components for certain religion like lard is very important. In this study, we used proton Nuclear Magnetic Resonance (1H-NMR) spectroscopy for the analysis of butter adulterated with lard by simultaneously quantification of all proton bearing compounds, and consequently all relevant sample classes. Since the spectra obtained were too complex to be analyzed visually by the naked eyes, the classification of spectra was carried out.The multivariate calibration of partial least square (PLS) regression was used for modelling the relationship between actual value of lard and predicted value. The model yielded a highest regression coefficient (R2) of 0.998 and the lowest root mean square error calibration (RMSEC) of 0.0091% and root mean square error prediction (RMSEP) of 0.0090, respectively. Cross validation testing evaluates the predictive power of the model. PLS model was shown as good models as the intercept of R2Y and Q2Y were 0.0853 and –0.309, respectively.

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© 2015 by Japan Oil Chemists' Society
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