Research Article

Detection of Adulteration in Food Using Recurrent Neural Network with Internet of Things

Table 1

Fitting parameters of the FOE13 sensor dipped in urea adulterated milk.

Test samplepH valueExp. Q × 102Exp. αR2R1 (kΩ)CP (nF)RD (kΩ)Q1 × 102α1

Milk (250 ml)6.621.890.530.9990.1663.840.482.010.681
Milk + 0.6 mg/ml urea6.581.860.510.9980.1533.520.351.790.659
Milk + 0.8 mg/ml urea6.551.820.490.9970.1503.360.311.330.626
Milk + 1.0 mg/ml urea6.521.800.470.9980.1483.330.281.110.618
Milk + 1.4 mg/ml urea6.441.780.440.9950.1453.210.251.080.608