UPM Institutional Repository

Detection of butter adulteration with lard by employing 1H-NMR spectroscopy and multivariate data analysis


Ahmad Fadzlillah, Nurrulhidayah and Che Man, Yaakob and Abdul Rohman and Ismail, Amin and Mustafa, Shuhaimi and Rosman, Arieff Salleh and Khatib, Alfi (2014) Detection of butter adulteration with lard by employing 1H-NMR spectroscopy and multivariate data analysis. In: Malaysia International Halal Research & Education Conference 2014 (MIHREC 2014), 2-4 Dec. 2014, Marriott Putrajaya Hotel, Malaysia. (p. 277).


The use of proton Nuclear Magnetic Resonance (1H-NMR) spectroscopy allows the analysis of butter adulteration 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 using multivariate data analysis. The spectroscopic data of butter adulterated with lard samples were chemometrically evaluated and calibrated using the partial least square (PLS) algorithm. The multivariate calibration of PLS model for the prediction of adulterant was developed for quantitative measurement. The model yielded a highest regression coefficient (R2) = 0.998 and the lowest root mean square error calibration (RMSEC) = 0.0091 and root mean square error prediction (RMSEP) = 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.

Download File

Text (Abstract)

Download (40kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Other)
Divisions: Halal Products Research Institute
Publisher: Halal Products Research Institute, Universiti Putra Malaysia
Keywords: Butter; Lard; 1H-NMR; Multivariate data analysis; Adulteration; Chemometric
Depositing User: Nabilah Mustapa
Date Deposited: 08 Jun 2018 00:27
Last Modified: 08 Jun 2018 00:27
URI: http://psasir.upm.edu.my/id/eprint/63955
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item