ELECTRONIC NOSE APPLICATION FOR THE DETERMINATION OF PENICILLIN G IN SAANEN GOAT MILK WITH FISHER DISCRIMINATE AND MULTILAYER PERCEPTRON NEURAL NETWORK ANALYSES

摘要

Antibiotics are routinely added to milk products and pose potential harm tornpublic health. The objective of this study was to use an innovative and nondestructive application of an electronic nose instrument for rapid detection of penicillin G in goat milk. The PEN3 electronic nose system was utilized to detectrnvolatile substances in goat milk after the addition of penicillin G sodium salt atrnconcentrations of 0, 50, 100 and 200μg/L. The data were extracted at 60 s to carryrnout a linear discriminant analysis. Additional statistical analysis was conductedrnusing neural networks to predict the penicillin G concentration in goat milkrnsamples. Accuracy rates for the two methods were 98.0 and 96.7% for trainingrnsamples, and 97.0 and 94.9% for testing samples, respectively. The results fromrnthis study show that the electronic nose system can be utilized to predict the penicillin G concentrations in goat milk samples.