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

fYear

2014

fDate

24-24 Sept. 2014

Firstpage

111

Lastpage

114

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communication Technology and System (ICTS), 2014 International Conference on

Conference_Location

Surabaya

Print_ISBN

978-1-4799-6857-2

Type

conf

DOI

10.1109/ICTS.2014.7010567

Filename

7010567