The Technicon AutoAnalyzer II was evaluated for automatic quantitation of non-casein protein (NCP) in milk. The Lowry method f or colorimetric measurement of proteins was adapted to the automated method and found to be accurate in the determination of non-casein protein in milk. The automated Lowry method obeyed Beer's law. Casein content was calculated by difference between total protein determined by infrared milk analysis (IRMA) and non-casein protein. In the analysis of twenty-five replicate milk samples, the standard deviation was 0.32 and the coefficient of variability was 0.90. The casein content as a percentage of total protein in the milk of cows in the Utah State University dairy herd was found to vary from 41.0 to 81.3%. The automated or continuous flow method was affected by as little as 0.05% (w/w) mercuric chloride, a chemical preservative used in milk, whereas potassium dichromate and formaldehyde had insignificant effects upon the assay.

Milk presents good marker metabolic levels in dairy cows. Subscribe milk in moreover to cow does not stressful. Each month has a breeder in the yield control available basic data on milk composition (fat, protein, lactose). This basic data can be expanded to include other parameters (milk urea, ketones and citric acid). Based on these milk parameters can then correct interpretation preventively diagnose metabolic diseases in the herd. In this work, based on yield controlling diagnosed with high metabolic burden herd Haklovy Dvory. In March 2014, according to the results of the composition of milk probably 33,3% of dairy cows exposed to challenges from acidogenic burdens and 15,2% negative energy balance. In April, was then exposed to challenges from acidogenic burdens 37,8% of herds and negative energy balance 26,7% of the herd. For selected cows are then carried out an analysis of the metabolic state based on milk composition and biochemical blood tests. Milk always signaled higher metabolic burden cows associated with the appearance of serious metabolic diseases (acidogenic burdens) than blood. Diagnosis of rumen acidosis of the blood is not simple and milk, this could serve as a useful indicator of the current state of the acid-base balance in the rumen.

An automated continuous flow analysis for milk protein utilizing ultraviolet spectroscopy resulted in a correlation coefficient of 0.972 and a standard estimate of error of 0.082 percent protein when 30 samples were compared with the acid orange 12 dye binding method. Milk was solubilized in 95-105 volumes of acetic acid using the Technicon Auto Analyzer II and measured for absorbance at 274 nanometers. No deviation from the standard method due to mastitis and varying milk fat concentration was observed. A theoretical model indicated a possible standard estimate of error 0.059 percent protein due to inter- and intra-breed variation in milk protein fraction distribution. Potassium dichromate and other preservatives interfered with the results.