title: How to Decide on Modeling Details: Risk and Benefit Assessment.
abstract: Mathematical models based on thermodynamic, kinetic, heat, and mass transfer analysis are central to this chapter. Microbial growth, death, enzyme inactivation models, and the modeling of material properties, including those pertinent to conduction and convection heating, mass transfer, such as diffusion and convective mass transfer, and thermodynamic properties, such as specific heat, enthalpy, and Gibbs free energy of formation and specific chemical exergy are also needed in this task. The origins, simplifying assumptions, and uses of model equations are discussed in this chapter, together with their benefits. The simplified forms of these models are sometimes referred to as "laws," such as "the first law of thermodynamics" or "Fick's second law." Starting to modeling a study with such "laws" without considering the conditions under which they are valid runs the risk of ending up with erronous conclusions. On the other hand, models started with fundamental concepts and simplified with appropriate considerations may offer explanations for the phenomena which may not be obtained just with measurements or unprocessed experimental data. The discussion presented here is strengthened with case studies and references to the literature.
authors.affiliation: Food Engineering Department, Yeditepe University, 34755, Kayisdagi, Istanbul, Turkey. ozilgen.mustafa@gmail.com.
authors.forename: Mustafa
authors.initials: M
authors.lastname: Özilgen
mesh_terms: D018407:Bacterial Physiological Phenomena; D005506:Food Contamination / Q000517:prevention & control*; D005516:Food Microbiology / Q000379:methods*; D005524:Food Technology / Q000379:methods; D008954:Models, Biological; D015233:Models, Statistical; D013816:Thermodynamics
keywords: 80% to 20% rule; Efficiency; Forcasting; Heat transfer; Mass transfer; Mathematical modeling; Simplifying assumptions; Thermodynamics