Mid-infrared spectroscopy and multivariate analysis for determination of tetracycline residues in cow's milk

  • Casarrubias-Torres L
  • Meza-Márquez O
  • Osorio-Revilla G
  • et al.
N/ACitations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

Mid-infrared spectroscopy and chemometric analysis were tested to determine tetracycline's residues in cow's milk. Cow's milk samples (n = 30) were spiked with tetracycline, chlortetracycline, and oxytetracycline in the range of 10-400 µg/l. Chemometric models to quantify each of the tetracycline's residues were developed by applying Partial Components Regression and Partial Least Squares algorithms. The Soft Independent Modeling of Class Analogy model was used to differentiate between pure milk and milk sample with tetracycline residues. The best models for predicting the levels of these antibiotics were obtained using Partial Least Square 1 algorithm (coefficient of determination between 0.997-0.999 and the standard error of calibration from 1.81 to 2.95). The Soft Independent Modeling of Class Analogy model showed well-separated groups allowing classification of milk samples and milk sample with antibiotics. The obtained results demonstrate the great analytical potential of chemometrics coupled with mid-infrared spectroscopy for the prediction of antibiotic in cow's milk at a concentration of microgram per litre (µg/l). This technique can be used to verify the safety of the milk rapidly and reliably.

Cite

CITATION STYLE

APA

Casarrubias-Torres, L. M., Meza-Márquez, O. G., Osorio-Revilla, G., & Gallardo-Velazquez, T. (2018). Mid-infrared spectroscopy and multivariate analysis for determination of tetracycline residues in cow’s milk. Acta Veterinaria Brno, 87(2), 181–188. https://doi.org/10.2754/avb201887020181

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free