Electronic Tongue and Their Analytical Application Using Artificial Neural Network Approach: A Review

A brief and historical overview of research and development in the field of artificial neural network based electronic tongue system is presented. The electronic tongue using artificial neural network approach for taste classification, based on the organizational principals of biological sensory systems, developed rapidly during the last few years . Current achievements of scientific groups working in this field are outlined and critically reviewed. The performance of electronic tongue in quantitative analyses and in classification of multi-component media is considered. The exciting possibility of establishing a correlation between the output from an electronic tongue and human sensory assessment of food flavour, thereby enabling quantification of taste and flavour is described. Analysis of multivariate data is also essential part of any electronic tongue. Pattern recognition techniques are described, with artificial neural network. Application areas of electronic tongue in model analysis and in foodstuffs ,beverage and water monitoring applications are also discussed.