Comparison of Quantitative Determination Techniques with Electronic Tongue Measurements

摘要

The objective of the paper reported here was to compare different quantitative techniques for the determination of the adjusted R squares and root mean squared errors of prediction for the different prediction types. The concentration of different solutions was predicted by different quantitative techniques. Linear relationship was found between the logarithm of concentration of different chemical solutions and the sensor response signals. The model of multiple linear regression with the selected sensors gave the highest adjusted R-squared and the lowest root mean squared error of prediction. The root mean squared error of prediction of instant coffee was better than that of mono-sodium glutamate. There was not definite difference between the adjusted R squares for the different prediction types (MLR, PLS and PCR). However, some difference was found between the root mean squared errors of prediction for the different algorithms. Consequently, the electronic tongue was found to be suitable for the analysis of model solutions (e.g. mono-sodium glutamate) and liquid foods (e.g. instant coffee) by the means of the used prediction types and algorithms.