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BUKU ABSTRAK - Universiti Putra Malaysia

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Application of GCÃ GC-TOF-MS for Analysis of Regiospecific Isomer of Monoand<br />

Diglyceride in Gycerolysis Products<br />

Prof. Dr. Yaakob Che Man<br />

Tengku Salwani Tengku Mansor and Abdul Rohman<br />

Institute of Products Halal Research, University <strong>Putra</strong> <strong>Malaysia</strong>,<br />

43400 UPM Serdang, Selangor, <strong>Malaysia</strong>.<br />

+603-8941 7344; halal@putra.upm.edu.my<br />

Lard and Virgin coconut oil (VCO) share some similarities such as having transparent to yellowish color and<br />

are solid at room temperature, hence, enabling lard to be a potential oil adulterant in VCO. This study highlights the<br />

application of electronic nose and Fourier transform infrared (FTIR) spectroscopy combined with chemometrics<br />

to analyse the presence of lard in VCO. Binary admixtures of lard in VCO in various percentage concentrations<br />

ranging from 1%-50% were assayed using electronic nose and FTIR spectroscopy. Using electronic nose, 10<br />

different chromatogram peaks were identified as adulterant peaks. Two-dimensional view of the aroma profile<br />

offers an ideal rapid for qualitative identification of lard. Peak J in zNoseTM chromatogram was found to have<br />

the best relationship, R2 0.93437. Furthermore, FTIR spectroscopy coupled with partial least square (PLS) and<br />

discriminant analysis (DA) can be successfully developed for quantification and classification of lard in VCO.<br />

The results showed that PLS is able to predict the lard contents in VCO with equation y = 0.999x + 0.006, for<br />

the relation between actual value of lard (x) and FTIR predicted value (y) with coefficient of determination (R2)<br />

of 0.999 at frequency regions of 1120 - 950 cm-1. DA can classify VCO that adulterated with lard using the data<br />

from FTIR at frequencies of 3020-3000 cm-1 and 1120 - 1000 cm-1.<br />

Keywords: Lard, virgin coconut oil, electronic nose, FTIR spectroscopy, partial least square, discriminant analysis<br />

51<br />

Food

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