Acta Vet. Brno 2018, 87: 181-188

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

Lizeth Mariel Casarrubias-Torres1, Ofelia Gabriela Meza-Márquez2, Guillermo Osorio-Revilla2, Tzayhrí Gallardo-Velazquez1

1Instituto Politécnico Nacional, Escuela Nacional de Ciencias Biológicas - Santo Tomás, Department of Biophysics, City of Mexico, Mexico
2Instituto Politécnico Nacional, Escuela Nacional de Ciencias Biológicas Zacatenco, Department of Biochemical Engineering, City of Mexico, Mexico

Received June 24, 2017
Accepted May 15, 2018

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.


The financial support from the Consejo Nacional de Ciencia y Tecnología (CONACyT) and the Secretaría de Estudios de Posgrado e Investigación del Instituto Politécnico Nacional de México (SIP-IPN) is greatly appreciated.


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