Mathematical model to predict yield loss of medium and large tiger shrimp (Penaeus monodon) during cooking

Journal of Food Process Engineering

Volumn 22, Issue 5, 1999, Pages 383-394

  Erdoǧdu, Ferruh ^a   Balaban, Murat O ^b   Chau, Khe V ^a  

^a University of Florida   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COOLING; FINITE DIFFERENCE METHOD; FOOD PRODUCTS; HEATING; MATHEMATICAL MODELS; NUTRITION; TEMPERATURE DISTRIBUTION; THERMAL EFFECTS;

COOKING; ISOTHERMAL EXPERIMENTS; MASS AVERAGE VALUES; MOISTURE LOSS; TIGER SHRIMP; YIELD LOSS;

FOOD PROCESSING;

DECAPODA (CRUSTACEA); MONODON; PANTHERA TIGRIS; PENAEUS MONODON;

EID: 0343603519     PISSN: 01458876     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1745-4530.1999.tb00493.x     Document Type: Article

References (16)

1. AOAC. 1980. Meat and Meat Products. Method AOAC, 24.003. In Official Methods of Analysis of the Association of Official Analytical Chemists. Arlington, VA.
2. BURFOOT, D. and SELF, K.P. 1988. Prediction or heating times for cubes of beef during water cooking. J. Food Sci. 23, 247-257.
3. CHAU, K.V. and GAFFNEY, J.J. 1990. A finite difference model for heat and mass transfer in products with internal heat generation and transpiration. J. Food Sci. 55, 484-487.
4. CHAU, K.V. and SNYDER, G. 1988. Mathematical model for temperature distribution for thermally processed shrimp. Trans. ASAE. 31, 608-612.
5. CHEN, C.M. and TROUT, G.R. 1991. Sensory, instrumental texture profile and cooking properties of restructured beef steaks made with various binders. J. Food Sci. 56, 1457-1460.
6. DICKERSON, R.W. 1969. Thermal properties of foods. In The Freezing Preservation of Foods, Vol. II. (D.K. Tressler, W.B. Van Arsdel and M.J. Copley, eds.) pp. 26-51, AVI Publishing Co., Westport, CT.
7. ERDOǦDU, F. 1996. Modeling of temperature distribution in shrimp, and measurement of its effect on texture, shrinkage and yield loss. Master of Engineering Thesis. U. of Florida, Gainesville, FL.
8. ERDOǦDU, F., BALABAN, M.O. and CHAU, K.V. 1998. Modeling of heat conduction in elliptical cross section. II. Adaptation to thermal processing of shrimp. J. Food Eng. 38, 241-258.
9. Fisheries of the U.S. 1996. Current Fishery Statistics No. 9300. USDC. National Oceanic and Atmospheric Administration and National Marine Fisheries Service. Silver Spring, MD.
10. MA, L.Y., DENG, J.C., AHMED, E.M. and ADAMS, J.P. 1983. Canned shrimp texture as a function of its heat history. J. Food Sci. 48, 360-363.
11. Microsoft Corporation. 1993. Visual Basic Professional. Version 3.0. Redmond, WA.
12. MURAKAMI, E.G. 1994. Thermal processing affects properties of commercial shrimp and scallops. J. Food Sci. 59, 237-241.
13. RIPPEN, T.E. and HACKNEY, C.R. 1992. Pasteurization of seafood: potential for shelf-life extension and pathogen control. Food Tech. 46, 88-94.
14. SNYDER, G.V. 1986. Mathematical model for prediction of temperature distribution in thermally processed shrimp. M.S. Thesis. U. of Florida, Gainesville, FL.
15. Statsoft Inc. 1994. Statistica for Windows. Version 4.5. Tulsa, OK.
16. WELT, B.A., TEIXEIRA, A.A., CHAU, K.V., BALABAN, M.O. and HINTENLANG, D.E. 1997. Explicit finite difference methods for heat transfer simulation and thermal process design. J. Food Sci. 62, 230-236.