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In response to recent concerns regarding the enumeration of microbial load of raw milk in shorter time and lower cost and the need to ensure that milk destined for dairy plants has met the acceptable load therefore the mathematical models have been developed . The aims of the present study were to examine various factors (e.g.pH, Eh, fecal coliform and milk fat) as a possible indicators of microbial load in different seasons and to assess the use of mathematical models for such correlation. Raw milk was Collected from various industrial farms in Mashhad city at two different seasons-spring and summer-and the best model for prediction of total count in raw milk using various factors was then conducted by mathematical models. The result indicated that multiple linear regression model was the best equation (R2 = 0.65). The result also showed that the equations for two different seasons - spring and summer - were different, as interaction between fecal coliform and pH was the main determined factor of model in spring season equation. Also in summer season equation, fat and interaction between fecal coliform and fat were the main factors, but fat factor had the most effect in equation. In this study most of the effective factors in microbial quality and their effects for prediction of raw milk are investigated.

Keywords: Raw milk, Modelling, Prediction, Total count

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