Document Detail


Parameter Estimation in Food Science.
MedLine Citation:
PMID:  23297775     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Modeling includes two distinct parts, the forward problem and the inverse problem. The forward problem-computing y(t) given known parameters-has received much attention, especially with the explosion of commercial simulation software. What is rarely made clear is that the forward results can be no better than the accuracy of the parameters. Therefore, the inverse problem-estimation of parameters given measured y(t)-is at least as important as the forward problem. However, in the food science literature there has been little attention paid to the accuracy of parameters. The purpose of this article is to summarize the state of the art of parameter estimation in food science, to review some of the common food science models used for parameter estimation (for microbial inactivation and growth, thermal properties, and kinetics), and to suggest a generic method to standardize parameter estimation, thereby making research results more useful. Scaled sensitivity coefficients are introduced and shown to be important in parameter identifiability. Sequential estimation and optimal experimental design are also reviewed as powerful parameter estimation methods that are beginning to be used in the food science literature. Expected final online publication date for the Annual Review of Food Science and Technology Volume 4 is February 28, 2013. Please see http://www.annualreviews.org/catalog/pubdates.aspx for revised estimates.
Authors:
Kirk D Dolan; Dharmendra K Mishra
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-7
Journal Detail:
Title:  Annual review of food science and technology     Volume:  -     ISSN:  1941-1413     ISO Abbreviation:  Annu Rev Food Sci Technol     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-9     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101561951     Medline TA:  Annu Rev Food Sci Technol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Department of Food Science and Nutrition and Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824; email: dolank@msu.edu.
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