Exploring Fourier transform mid-infra-red spectrometry to predict biochemical parameters in horse’s blood

Abstract

The aim of this study was to evaluate the use of Fourier transform mid-infra-red (FT-MIR) spectrometry to analyse blood biochemical parameters of the horse. For this purpose, mid infrared transmission spectra were acquired from plasma samples from 72 healthy horses. Each sample was also analysed using reference clinical chemical methods, and these results were used as calibrating values to develop predictive models by partial least squares method. The validation was carried out using external validation method. The coefficient of determination (R 2) and the ratio of prediction to deviation (RPD) showed high values for parameters regarding energy and protein metabolism. Among energy parameters, an excellent prediction model was developed for total cholesterol (R 2 ¼ 0.94; RPD ¼ 4.40) and triglycerides (R 2 ¼ 0.96; RPD ¼ 5.0) while fair results were obtained for cholesterol fractions (R 2 range: 0.75-0.80; RPD range: 2.0-2.3). Among protein metabolism parameters, excellent prediction models were developed for total protein, albumin, globulin (R 2 range: 0.96-0.99; RPD range: 5.40-9.30) and good prediction model for urea (R 2 ¼ 0.90; RPD ¼ 3.2), confirming previous results with the plasma of dairy cows. Our results highlight that FT-MIR spectrometry offers an accurate measurement of important plasma biomarkers for the evaluation of energy (cholesterol and triglycerides) and protein metabolism (urea), as well as for health status (albumin/globulin ratio). Our results may open an interesting perspective of a more cost-effective approach to monitoring the metabolic status and health conditions of the horse, with the future possibility to predict some blood biomarkers by the practitioner in field. HIGHLIGHTS FT-MIR potential to measure blood parameters in horses was explored; Infra-red spectrometry can be used in horse's clinical chemistry; Fast and cost-effective metabolic status evaluation in horses; Accurate FT-MIR predictions for plasma protein and lipid fractions in horses.