Infrared spectroscopy combined with random forest to determine tylosin residues in powdered milk

The contamination of milk by antibiotic residues is a worldwide health and food safety problem. There is a need to develop new methods for the rapid determination of antibiotic residues in milk. A method has been developed for determining tylosin residues directly in powdered milk using Fourier Transformed Infrared spectroscopy (FTIR). Tylosin is a broad-spectrum macrolide antibiotic. The spectra obtained were submitted to chemometric analysis to obtain a prediction model for tylosin concentration in powdered milk. Using the Boruta algorithm, the absorption bands related to the milk contamination by the antibiotic were identified. Random forest was shown to be adequate for the prediction of tylosin residues in milk at low concentrations (<= 100 mu g L-1) and the prediction model generated showed high correlation and determination coefficients (greater than 0.95). The proposed methodology proved to be efficient for the investigation of antibiotic residues in powdered milk.

Automated summary

A method using FTIR was developed to detect tylosin residues in powdered milk, with chemometric analysis and the Boruta algorithm used to predict concentrations. The random forest method showed high accuracy in predicting low concentrations, with the model generated having a high correlation and determination coefficient for tylosin residues in milk. The proposed methodology proved to be efficient for investigating antibiotic residues in powdered milk.