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Chemical Product and Process Modeling

Ed. by Sotudeh-Gharebagh, Rhamat / Mostoufi, Navid / Chaouki, Jamal


CiteScore 2018: 0.88

SCImago Journal Rank (SJR) 2018: 0.211
Source Normalized Impact per Paper (SNIP) 2018: 0.368

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1934-2659
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Pectin Extraction from Mango Peels in Batch Reactor: Dynamic One-Dimensional Modeling and Lattice Boltzmann Simulation

Ricardo Durán
  • Corresponding author
  • Agroindustrial Optimization Research Group, Universidad Popular del Cesar, bloque F, Lab 201, sede Sabanas, Valledupar, Colombia
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/ Aída L. Villa
  • Chemical Engineering Department, Environmental Catalysis Research Group, Universidad de Antioquia, Cra. 53 No. 61–30, Medellín, Colombia
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/ Rogers Ribeiro
  • Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte 225, Pirassununga, SP, 13635–900, Brazil
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/ José A. Rabi
  • Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte 225, Pirassununga, SP, 13635–900, Brazil
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Published Online: 2015-08-26 | DOI: https://doi.org/10.1515/cppm-2015-0014

Abstract

A dynamic one-dimensional model accounting for pectin generation from protopectin in the solid matrix of mango peels and its degradation in both interstitial and extra-particle (i.e. reactor-filling) acid solution is proposed. The model assumes that pectin diffusive transport occurs in the interstitial fluid while eventual diffusive, thermal and pH influences in the solid phase were lumped into the kinetic coefficient of protopectin-pectin conversion. First-order kinetic was assumed to pectin degradation. Differential equations were numerically solved by adapting an in-house simulator of bioprocesses via the lattice Boltzmann method (LBM). As part of the LBM method, particle distribution functions were assigned to the pectin concentration in interstitial and reactor-filling fluid as well as assigned to the protopectin concentration in the solid phase. Equilibrium distribution functions were adopted by considering stationary solid phase, diffusive transport in interstitial fluid, and no spatial dependence in the reactor-filling fluid. Model parameters were assessed by comparing numerically simulated extraction yield curves with existing experimental data of pectin extraction using a batch reactor under either conventional or microwave heating. While the expected behavior of extraction yield curves was fairly reproduced in LBM simulations, discrepancies with respect to the experimental data can be assigned to assumptions in this preliminary model (e.g. first-order degradation kinetic and/or lumping effects into the protopectin-to-pectin kinetic). Prospective influence of slab thickness on extraction yields was also examined in LBM simulations.

Keywords: reactor design; physics-based modeling; bioprocess simulation; lattice Boltzmann method

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About the article

Published Online: 2015-08-26

Published in Print: 2015-09-01


Funding: Authors acknowledge the financial support from Colciencias, SENA and Universidad de Antioquia (UdeA) through project 1115-479-22043 and from UdeA through “Estrategia de Sostenibilidad 2013-2014”. R.D. acknowledges to Universidad Popular del Cesar, Colciencias and Gobernación del Cesar, his doctoral fellowship.


Citation Information: Chemical Product and Process Modeling, Volume 10, Issue 3, Pages 203–210, ISSN (Online) 1934-2659, ISSN (Print) 2194-6159, DOI: https://doi.org/10.1515/cppm-2015-0014.

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