Simple Search:

Potential of dielectric spectroscopy measurement for lard detection


Amat Sairin, Masyitah and Ahmad Nizar, Nina Naquiah and Abd Aziz, Samsuzana and Mat Hashim, Dzulkifly and Rokhani, Fakhrul Zaman (2015) Potential of dielectric spectroscopy measurement for lard detection. In: 2015 9th International Conference on Sensing Technology (ICST), 8-10 Dec. 2015, Auckland, New Zealand. (pp. 722-727).

Abstract / Synopsis

Fast and reliable techniques for detection of food adulteration are indispensable to verify food authenticity. In this study, the detection of lard against different types of animal fats based oil using dielectric spectroscopy technique subjected to middle frequency range of 100Hz - 100KHz is investigated. The animal fats were extracted and mixed with hexane solvent for different sample concentration levels. Analysis of variance (ANOVA) technique was applied to the collected data for statistical data analysis. The experimental results indicate that the dielectric value is not a function of frequencies but a function of sample's concentration levels. It is statistically shown that there is significant difference between type of animal fats with respect to their dielectric values at different frequencies and concentrations illustrating the ability of the proposed technique on lard detection objective. Furthermore, the principal component analysis (PCA) was used to classify lard and other animal fats. Results show that lard can be distinguished clearly from other animal fat sample group.

Download File

PDF (Abstract)
Potential of dielectric spectroscopy measurement for lard detection.pdf

Download (34kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
Halal Products Research Institute
DOI Number:
Publisher: IEEE
Keywords: Dielectric spectroscopy; Lard detection; Analysis of variance (ANOVA); Principal component analysis (PCA)
Depositing User: Nabilah Mustapa
Date Deposited: 10 May 2019 16:30
Last Modified: 10 May 2019 16:30
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item