The reproductive performance of cattle may be influenced by several factors, but mineral imbalances are crucial in terms of direct effects on reproduction. Several studies have shown that elements such as calcium, copper, iron, magnesium, selenium, and zinc are essential for reproduction and can prevent oxidative stress. However, toxic elements such as lead, nickel, and arsenic can have adverse effects on reproduction. In this paper, we applied a simple and fast method of multi-element analysis to bovine semen samples from Zebu and European classes used in reproduction programs and artificial insemination. Samples were analyzed by inductively coupled plasma spectrometry (ICP-MS) using aqueous medium calibration and the samples were diluted in a proportion of 1:50 in a solution containing 0.01% (vol/vol) Triton X-100 and 0.5% (vol/vol) nitric acid. Rhodium, iridium, and yttrium were used as the internal standards for ICP-MS analysis. To develop a reliable method of tracing the class of bovine semen, we used data mining techniques that make it possible to classify unknown samples after checking the differentiation of known-class samples. Based on the determination of 15 elements in 41 samples of bovine semen, 3 machine-learning tools for classification were applied to determine cattle class. Our results demonstrate the potential of support vector machine (SVM), multilayer perceptron (MLP), and random forest (RF) chemometric tools to identify cattle class. Moreover, the selection tools made it possible to reduce the number of chemical elements needed from 15 to just 8.

Um método simples e rápido para a determinação de Ca, Cu, Fe, Mg, Mn, Se e Zn em sêmen bovino por espectrometria de massas com plasma indutivamente acoplado (q-ICP-MS) é descrito. Previamente as análises, 200 µL de amostras foram diluídas 1:50 em solução contendo Triton ® X-100 (0,01% v/v) e ácido nítrico (0,5% v/v). Os limites de detecção foram de 0,3, 0,03, 0,2, 0,04, 0,04, 0,03 e 0,03 µg L -1 para 44 Ca, 63 Cu, 57 Fe, 24 Mg, 64 Zn, 82 Se e 55 Mn, respectivamente. Para efeitos de comparação e validação do método, quatro amostras de sêmen bovino foram analisadas por ICP-MS pelo método proposto e por espectrometria de absorção atômica com chama (FAAS) ou espectrometria de absorção atômica em forno de grafite (GF AAS), e não foram encontradas diferenças estatísticas entre as técnicas com aplicação do teste-t (95% de confiança). Então, o método proposto foi aplicado na determinação de Ca, Cu, Fe, Mg, Mn, Se e Zn em amostras de sêmen bovino coletadas de diferentes raças, as quais são usadas em programas de reprodução animal e inseminação artificial.A simple and fast method for the determination of Ca, Cu, Fe, Mg, Mn, Se and Zn in bovine semen by quadrupole inductively coupled plasma spectrometry (q-ICP-MS) is described. Prior to analysis, samples (200 µL) were diluted 1:50 in a solution containing 0.01% v/v Triton ® X-100 and 0.5% v/v nitric acid and directly analyzed by ICP-MS. The limits of detection of the method are 0.3, 0.03, 0.2, 0.04, 0.04, 0.03 and 0.03 µg L -1 for 44 Ca, 63 Cu, 57 Fe, 24 Mg, 64 Zn, 82 Se and 55 Mn, respectively. For purposes of comparison and method validation, four ordinary bovine semen samples were directly analyzed by ICP-MS and by flame atomic absorption spectrometry (FAAS) or graphite furnace atomic absorption spectrometry (GF AAS), with no statistical difference between the techniques at the 95% level when applying the t-test. Then, the proposed method was applied in the determinations of Ca, Cu, Fe, Mg, Mn, Se and Zn in collected samples of bovine semen from different breeds, which are used in reproduction programs and artificial insemination.