English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/55465
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:

Title

Optimal design of dynamic experiments for improved estimation of kinetic parameters of thermal degradation

AuthorsBalsa-Canto, Eva ; Rodríguez Fernández, María; Banga, Julio R.
KeywordsOptimal experimental design
Thermal processing
Thermal degradation kinetics
Parameter estimation
Issue Date2007
PublisherElsevier
CitationJournal of Food Engineering 82(2): 178-188 (2007)
AbstractThermal processing is widely used for ensuring food safety and extended shelf life. However, standard methods of thermal processing have a significant impact on food quality due to thermal degradation of nutrients and other quality factors. Model-based methods can be successfully used for thermal process design, optimization and control. However, building sound models requires suitable estimation of the unknown kinetic parameters. Further, the accuracy of these estimates will largely depend on the quality and quantity of the available experimental data. Optimal experimental design (OED) of dynamic experiments allows for the calculation of the scheme of controls and measurements which improve the estimation of model parameters. In this contribution, the OED problem is formulated as a general dynamic optimization problem where the objective is to find those experimental conditions which result in maximum information content, as measured by the Fisher information matrix. The numerical solution of this problem is then approached using a combination of the control vector parameterization approach with a non-linear global optimization solver. As an illustrative application, we consider the optimal experimental design for the parameter estimation of the thiamine degradation kinetic parameters during the thermal processing of canned tuna. Results confirm that the use of optimal dynamic experiments not only improves identifiability but also results in reduced confidence regions for the parameters (a maximum error of the 2% in the parameter estimates), substantially decreasing the experimental effort (up to a 50%). Particularly the use of six optimally designed experiments results in a 30% reduction of the confidence regions with respect to previously published results using 10 typical experiments.
Description11 páginas, 7 figuras, 2 tablas
Publisher version (URL)http://dx.doi.org/10.1016/j.jfoodeng.2007.02.006
URIhttp://hdl.handle.net/10261/55465
DOIhttp://dx.doi.org/10.1016/j.jfoodeng.2007.02.006
ISSN0260-8774
Appears in Collections:(IIM) Artículos
Files in This Item:
There are no files associated with this item.
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.