prediction of antibiotics residues in raw milk by using binary logistic regression model

medical compounds, especially antibiotics, in which remains in milk and dairy products on the one hand causes health problems such as allergic reactions and development of bacterial resistance to antibiotics are a serious threat to the health of consumers , and on the other hand, industrial troubles such as failure to produce fermented products can cause the milk back to the rancher. the purpose of this study is to determine the presence of antibiotic residues in raw milk, milk in a timely manner after receiving a detailed mathematical model. 120 samples of bulk tank milk were randomly selected from 10 collection centers and farms industrial in the province of khorasan razavi (iran). the presence of antibiotic residues and microbial and physicochemical properties were evaluated. then based on different variables, binary logistic regression model to predict the presence or absence of antibiotic residues in milk were determined using the software spss statistics ver.22.0. somatic cells and electrical conductivity was the main determined factor of model in summer season equation. also in autumn season equation, somatic cells and acidity were the main factors. the results are indicative of the relationship between chemical and microbial antibiotic residues in milk.