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Predicting the initial freezing point and water activity of meat products from composition data
- Source :
- Journal of Food Engineering 66 (2005) 4, Journal of Food Engineering, 66(4), 469-475
- Publication Year :
- 2005
- Publisher :
- Elsevier BV, 2005.
-
Abstract
- In this paper we predict the water activity and initial freezing point of food products (meat and fish) based on their composition. The prediction is based on thermodynamics (the Clausius–Clapeyron equation, the Ross equation and an approximation of the Pitzer equation). Furthermore, we have taken the effect of bound water into account, by using a linear relation between mass fractions of bound water and the mass fractions of soluble biopolymers. Model parameters are estimated using data of meat. The validity of the model is checked against data of fish. Good agreement with experimental data are obtained in the range of aw > 0:70. Furthermore, our results remove the inconclusiveness on the prediction of bound water that exists in literature. 2004 Elsevier Ltd. All rights reserved.
- Subjects :
- Water activity
muscle
adiabatic calorimeter
Mineralogy
Thermodynamics
frozen
sodium-chloride
foods
Range (statistics)
Bound water
Food Process Engineering
Chemical composition
VLAG
model
AFSG Quality in Chains
Chemistry
temperature
bound water
Freezing point
glass-transition
isotherms
Pitzer equations
Composition (visual arts)
Mass fraction
Food Science
Subjects
Details
- ISSN :
- 02608774
- Volume :
- 66
- Database :
- OpenAIRE
- Journal :
- Journal of Food Engineering
- Accession number :
- edsair.doi.dedup.....7ab9ac00413fb59770e64ab1bba65b3f