Adulteration Detection of Grape Fruit Juice Using PCA and LDA Pattern Recognition Technique

摘要

This study reports a Constant Phase Element (CPE) sensor of thin film coating of Poly Methyl Methacrylate (PMMA) to detect grape juice sample adulterated with sugar solution and water. The experimental data taken for analysis is constant phase data. The data analysis technique used is Principal Component Analysis (PCA), Box Plot & Linear Discriminant Analysis (LDA). The reported Separability index (SI) helps to distinguish different adulteration like sugar solution and water in pure grape juice.