Title :
Feasibility study of detecting canola oil adulteration with palm oil using NIR spectroscopy and multivariate analysis
Author :
Hussain, Mutia Nurulhusna ; Abdul Khir, Mohd Fared ; Hisham, Mohd Hafizulfika ; Md Yusof, Zalhan
Author_Institution :
Nanoelectron. & Photonics Lab. (NAPL), MIMOS Berhad, Kuala Lumpur, Malaysia
Abstract :
Detection of adulteration in food is one of the most important issues in food industry today. In this study, the feasibility of classifying canola oil samples from the one adulterated with palm oil using NIR spectroscopy in combination with multivariate analysis is investigated. An experiment to obtain the NIR spectra was conducted and analyzed using multivariate analysis. The result using open source R software has shown that adulterated oil samples could be detected with an overall correct classification rate of 100 % with minimum detection level of 3.23 %.
Keywords :
infrared spectra; nondestructive testing; quality control; statistical analysis; vegetable oils; NIR spectroscopy; canola oil adulteration detection; food industry; multivariate analysis; open source R software; palm oil; Calibration; Fourier transforms; Histograms; Software; Spectroscopy; Vegetable oils; Food adulteration; NIR spectroscopy; R software; discriminant analysis; multivariate analysis;
Conference_Titel :
Information, Communication Technology and System (ICTS), 2014 International Conference on
Conference_Location :
Surabaya
Print_ISBN :
978-1-4799-6857-2
DOI :
10.1109/ICTS.2014.7010567
