Transmittance Multispectral Imaging for Adulteration Assessment of Coconut Oil

Neranjan Senarath, Dhananjaya Jayasundara, Lakshitha Ramanayake, D. Y. L. Ranasinghe, Sanjaya Lakmal, H. M. H. K. Weerasooriya, Parakrama Ekanayake, Roshan Godaliyadda, Vijitha R. Herath, W. M. T. Madhujith

Abstract: Coconut oil extracted from the kernel of coconut is a commonly used edible oil. This which have many health benefits and nutritional value has been one of the main components in food industry. Adulterating different edible oils with coconut oil has reduced its’ quality causing major health issues. In this paper an algorithm is proposed to identify the adulteration level of coconut oil adulterated using reheated/ reused coconut oil. For this, transmittance multispectral images captured using an inhouse built economical multispectral imaging device is used. A Principal Component Analysis based Bhattacharyya distance model is developed with a 0.9747 coefficient of determination.