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Article . 2016
License: CC BY NC SA
Data sources: CONICET Digital
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Journal of Food Science and Technology
Article . 2016 . Peer-reviewed
License: Springer TDM
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Optimal synthesis and design of the number of cycles in the leaching process for surimi production

Authors: Sergio Fabian Mussati; Sergio Fabian Mussati; M. Agustina Reinheimer; M. Agustina Reinheimer; Nicolás J. Scenna; Nicolás J. Scenna;

Optimal synthesis and design of the number of cycles in the leaching process for surimi production

Abstract

Water consumption required during the leaching stage in the surimi manufacturing process strongly depends on the design and the number and size of stages connected in series for the soluble protein extraction target, and it is considered as the main contributor to the operating costs. Therefore, the optimal synthesis and design of the leaching stage is essential to minimize the total annual cost. In this study, a mathematical optimization model for the optimal design of the leaching operation is presented. Precisely, a detailed Mixed Integer Nonlinear Programming (MINLP) model including operating and geometric constraints was developed based on our previous optimization model (NLP model). Aspects about quality, water consumption and main operating parameters were considered. The minimization of total annual costs, which considered a trade-off between investment and operating costs, led to an optimal solution with lesser number of stages (2 instead of 3 stages) and higher volumes of the leaching tanks comparing with previous results. An analysis was performed in order to investigate how the optimal solution was influenced by the variations of the unitary cost of fresh water, waste treatment and capital investment.

Country
Argentina
Keywords

Surimi Manufacturing Process, Optimal Configuration And Design, Mathematical Programming Model, https://purl.org/becyt/ford/2.11, Gams, Minlp Model, https://purl.org/becyt/ford/2

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze