Discrimination of various Milk adulterated sample using Linear Discrimination Analysis(LDA)

Abstract

The aim of this work is to discriminate various milk samples using Linear Discrimination Analysis (LDA) detection technique of pure milk, pure milk adulterated with urea, tap water etc. by forming samples phase data into matrix form at different frequencies in Constant phase (property of electrode-electrolyte interface of Polymer coated copper probe dipped in ionic solution) region as well as data taken at different time. Euclidean distance from any unknown sample with the given known samples has been calculated using LDA algorithm and the sample with shortest distance will show the best maximal characteristics of the unknown sample. The whole calculation and discrimination plotting has been done in MATLAB software.