Table 2.
Statistical parameters obtained for the N-PLS regression model established between the chemical parameters and the voltammetric responses of the sensors towards musts.
| Voltammetric Outputs | |||||
|---|---|---|---|---|---|
| Parameters | R2C (a) | RMSEC (b) | R2P (c) | RMSEP (d) | Number of Components |
| Sugar content | 0.997 | 0.99187 | 0.945 | 4.24917 | 4 |
| Brix degree | 0.996 | 0.09242 | 0.935 | 0.40019 | 4 |
| Degree 16.8 | 0.997 | 0.05894 | 0.946 | 0.25147 | 4 |
| TPI | 0.992 | 0.46538 | 0.983 | 0.68089 | 3 |
| Polyphenolic content | 0.998 | 0.33442 | 0.989 | 1.11841 | 3 |
| Folin-Ciocalteau method | |||||
(a) Squared correlation coefficient in calibration; (b) Root Mean Square Error of Calibration; (c) Squared correlation coefficient in prediction; (d) Root Mean Square Error of Prediction.