This study was conducted to develop and evaluate several formulas which predict Mozzarella cheese yield from fat and protein content of milk and moisture content of cheese. During a one month period, 107 samples of milk and cheese were collected at Olympia Cheese Company, Olympia, Washington. Milk samples were analyzed for fat and protein content. Cheese samples were analyzed for fat, protein and moisture content.
Three models were derived to predict the yield of Mozzarella cheese. The three models were statistically fitted to the data by applying the Gauss-Newton non-linear least squares method of iteration. The differences among the three models in predicting cheese yield were insignificant. Any of the three formulas can predict yield of Mozzarella cheese reasonably well.
| Identifer | oai:union.ndltd.org:UTAHS/oai:digitalcommons.usu.edu:etd-6341 |
| Date | 01 May 1982 |
| Creators | Abu-Tarboush, Hamzah M. |
| Publisher | DigitalCommons@USU |
| Source Sets | Utah State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | All Graduate Theses and Dissertations |
| Rights | Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact digitalcommons@usu.edu. |
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