Journal
INTERNATIONAL JOURNAL OF FOOD PROPERTIES
Volume 18, Issue 2, Pages 372-379Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10942912.2012.692224
Keywords
Metabolite fingerprinting; FTIR; Butter; Lard; Adulteration
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Funding
- Universiti Putra Malaysia (UPM) [RUGS 91032]
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Adulteration of butter with cheaper animal fats, such as lard, has become an issue in recent years. A simple and rapid analytical method of attenuated total reflectance in Fourier transform infrared spectroscopy was developed in order to determine the lard content in butter. The multivariate calibration of partial least square model for the prediction of adulterant was developed for quantitative measurement. The model yielded the highest regression with the correlation coefficient (R-2) = 0.999, its lowest root mean square error estimation = 0.0947, and its root mean square error prediction = 0.0687, respectively. Cross validation testing evaluates the predictive power of the model. Partial least square model to be effective as their intercept of (RY)-Y-2 and Q(2)Y were 0.08 and -0.34, respectively.
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