Detection of Bovine Mastitis Milk through Somatic Cell Count using Electrical Conductivity Property

This study describes the detection of bovine mastitis infection in milk for both clinical and subclinical mastitis. The presence of mastitis triggers the bovine's immune system to secrete a concentration of certain ions, Na+, and Cl-, to balance the osmotic pressure caused by changes in the blood capillary permeability. This makes electrical conductivity a great indicator in detecting mastitis. The advantage of using electrical conductivity as an indicator in detecting mastitis is not having to rely on an organoleptic test which has a big drawback since dairy farmer's assessment differs widely from what is considered acceptable based on the milk's appearance, color, smell, and taste. A temperature sensor and an electrical conductivity probe are used on the sensor-based system. The device applies temperature compensation to the measured electrical conductivity and reports what the electrical conductivity would be at the reference temperature. The electrical conductivity meter circuit is utilized to process the gathered data from the probe and temperature sensor. By analyzing the electrical conductivity data and the somatic cell count, an estimate of the level of mastitis infectivity of the milk can be projected. Using the sample data given, and polynomial regression to further predict data, an equation was formed y=9137.86×3-199200.97×2+1482591.79x -3523533.92 where y is the calculated somatic cell count and x is the value of measured electric conductivity. The milk grade is then determined through the standard somatic cell count threshold and Masti-check grading developed by Central Luzon State University. Based on the data acquired, there is no significant difference between the data measured from the laboratory and the data measured from the system.