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dc.contributor.author
Pinto, Jose M.
dc.contributor.author
Montagna, Jorge Marcelo
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dc.contributor.author
Vecchietti, Aldo
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dc.contributor.author
Iribarren, Oscar Alberto
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dc.contributor.author
Asenjo, Juan A.
dc.date.available
2021-08-25T12:29:35Z
dc.date.issued
2001-07-27
dc.identifier.citation
Pinto, Jose M.; Montagna, Jorge Marcelo; Vecchietti, Aldo; Iribarren, Oscar Alberto; Asenjo, Juan A.; Process performance models in the optimization of multiproduct protein production plants; John Wiley & Sons Inc; Bioengineering And Biotechnology; 74; 6; 27-7-2001; 451-465
dc.identifier.issn
0006-3592
dc.identifier.uri
http://hdl.handle.net/11336/138874
dc.description.abstract
In this work we propose a model that simultaneously optimizes the process variables and the structure of a multiproduct batch plant for the production of recombinant proteins. The complete model includes process performance models for the unit stages and a posynomial representation for the multiproduct batch plant. Although the constant time and size factor models are the most commonly used to model multiproduct batch processes, process performance models describe these time and size factors as functions of the process variables selected for optimization. These process performance models are expressed as algebraic equations obtained from the analytical integration of simplified mass balances and kinetic expressions that describe each unit operation. They are kept as simple as possible while retaining the influence of the process variables selected to optimize the plant. The resulting mixed-integer nonlinear program simultaneously calculates the plant structure (parallel units in or out of phase, and allocation of intermediate storage tanks), the batch plant decision variables (equipment sizes, batch sizes, and operating times of semicontinuous items), and the process decision variables (e.g., final concentration at selected stages, volumetric ratio of phases in the liquid-liquid extraction). A noteworthy feature of the proposed approach is that the mathematical model for the plant is the same as that used in the constant factor model. The process performance models are handled as extra constraints. A plant consisting of eight stages operating in the single product campaign mode (one fermentation, two microfiltrations, two ultrafiltrations, one homogenization, one liquid-liquid extraction, and one chromatography) for producing four different recombinant proteins by the genetically engineered yeast Saccharomyces cerevisiae was modeled and optimized. Using this example, it is shown that the presence of additional degrees of freedom introduced by the process performance models, with respect to a fixed size and time factor model, represents an important development in improving plant design.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
John Wiley & Sons Inc
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
DESIGN
dc.subject
MULTIPRODUCT BATCH PLANT
dc.subject
OPTIMIZATION
dc.subject
PROCESS PERFORMANCE MODELS
dc.subject
PROTEIN PRODUCTION
dc.subject.classification
Ingeniería de Procesos Químicos
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dc.subject.classification
Ingeniería Química
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Process performance models in the optimization of multiproduct protein production plants
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-09-03T19:25:26Z
dc.identifier.eissn
1097-0290
dc.journal.volume
74
dc.journal.number
6
dc.journal.pagination
451-465
dc.journal.pais
Estados Unidos
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dc.journal.ciudad
Nueva Jersey
dc.description.fil
Fil: Pinto, Jose M.. Universidade de Sao Paulo; Brasil
dc.description.fil
Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.description.fil
Fil: Vecchietti, Aldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.description.fil
Fil: Iribarren, Oscar Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.description.fil
Fil: Asenjo, Juan A.. Universidad de Chile; Chile
dc.journal.title
Bioengineering And Biotechnology
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1002/bit.1136
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/bit.1136
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