title: Real-time evaluation of individual cow milk for higher cheese-milk quality with increased cheese yield.
abstract: Cheese was produced in a series of experiments from milk separated in real time during milking by using the Afilab MCS milk classification service (Afikim, Israel), which is installed on the milk line in every stall and sorts milk in real time into 2 target tanks: the A tank for cheese production (CM) and the B tank for fluid milk products (FM). The cheese milk was prepared in varying ratios ranging from ~10:90 to ~90:10 CM:FM by using this system. Cheese was made with corrected protein-to-fat ratio and without it, as well as from milk stored at 4°C for 1, 2, 3, 4, and 8d before production. Cheese weight at 24h increased along the separation cutoff level with no difference in moisture, and dry matter increased. The data compiled allowed a theoretical calculation of cheese yield and comparing it to the original van Slyke equation. Whenever the value of Afi-Cf, which is the optical measure of curd firmness obtained by the Afilab instrument, was used, a better predicted level of cheese yield was obtained. In addition, 27 bulk milk tanks with milk separated at a 50:50 CM:FM ratio resulted in cheese with a significantly higher fat and protein, dry matter, and weight at 24h. Moreover, solids incorporated from the milk into the cheese were significantly higher in cheeses made of milk from A tanks. The influence of storage of milk up to 8d before cheese making was tested. Gross milk composition did not change and no differences were found in cheese moisture, but dry matter and protein incorporated in the cheese dropped significantly along the storage time. These findings confirm that milk stored for several days before processing is prone to physico-chemical deterioration processes, which result in loss of milk constituents to the whey and therefore reduced product yield. The study demonstrates that introducing the unknown parameters for calculating the predicted cheese yield, such as the empiric measured Afi-Cf properties, are more accurate and the increase in cheese yield is more than increasing just the protein level, the value that is being tested by the dairies, or even casein.
authors.affiliation: Afimilk, Afikim 15148, Israel.
authors.forename: G
authors.initials: G
authors.lastname: Katz
authors.affiliation: Afimilk, Afikim 15148, Israel.
authors.forename: U
authors.initials: U
authors.lastname: Merin
authors.affiliation: Afimilk, Afikim 15148, Israel.
authors.forename: D
authors.initials: D
authors.lastname: Bezman
authors.affiliation: Afimilk, Afikim 15148, Israel.
authors.forename: S
authors.initials: S
authors.lastname: Lavie
authors.affiliation: Afimilk, Afikim 15148, Israel.
authors.forename: L
authors.initials: L
authors.lastname: Lemberskiy-Kuzin
authors.affiliation: National Mastitis Reference Center, Kimron Veterinary Institute, PO Box 12, Bet Dagan 50250, Israel. Electronic address: leitnerg@moag.gov.il.
authors.forename: G
authors.initials: G
authors.lastname: Leitner
mesh_terms: D000818:Animals; D002364:Caseins; D002417:Cattle; D002611:Cheese; D005260:Female; D005511:Food Handling; D008892:Milk / Q000737:chemistry*; D008894:Milk Proteins; D000067796:Whey; D000067816:Whey Proteins
chemical_list: D002364:Caseins; D008894:Milk Proteins; D000067816:Whey Proteins
keywords: cheese yield; cheese-milk quality; real-time milk sorting