Mathematical modeling and simulation of soluble protein extraction during leaching process in surimi elaboration

Reinheimer, María Agustina; Medina, J.R.; Scenna, Nicolás J.; Mussati, Sergio F.; Freyre, M.; Pérez, Gustavo

doi:10.1016/j.jfoodeng.2013.07.030

Cited by 4 publications

(9 citation statements)

References 24 publications

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“…Main assumptions for this model are the same proposed and verified in earlier works (Reinheimer et al 2013, Reinheimer et al 2014 and are summarized as follows:…”

Section: Model Assumptionsmentioning

confidence: 99%

“…Operative and technological constraints are imposed by inequality restrictions and are also presented in the ''Appendix'' section. For more details, the reader is referred to Reinheimer et al (2014). Discrete decisions are handled by binary variables according to the existence (or not existence) of each stage, as mentioned in previous section.…”

Section: Process Modelmentioning

confidence: 99%

“…In previous works, a mathematical model to simulate the extraction process of soluble protein from sábalo (Prochilodus platensis) during the surimi elaboration was developed (Reinheimer et al 2014). Indeed, the model validation using experimental data obtained at laboratory scale was presented there.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, the model validation using experimental data obtained at laboratory scale was presented there. The NLP optimization model with a superstructure formulation was developed considering different process arrangements (conventional, countercurrent and hybrid configurations) to minimize the fresh water requirement of the leaching process (Reinheimer et al 2014). From several optimization results, it was concluded that the countercurrent arrangement leads to the minimal water consumption.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the results also revealed that the minimum water consumption is achieved when three or more stages are used for a fixed total tank volume of the leaching process (for both cases: equal and different tank size distribution). But excessive washing not only increases the cost of water usage and wastewater treatment, but also results in a loss of myofibrillar proteins (Reinheimer et al 2014).…”

Section: Introductionmentioning

confidence: 99%

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

2016

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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.

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“…Main assumptions for this model are the same proposed and verified in earlier works (Reinheimer et al 2013, Reinheimer et al 2014 and are summarized as follows:…”

Section: Model Assumptionsmentioning

confidence: 99%

Section: Process Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations