Mass transfer into droplets undergoing reactive extraction

Author(s):  
M. Mörters ◽  
H.-J. Bart
2019 ◽  
Vol 3 (2) ◽  
pp. 43 ◽  
Author(s):  
Nuttakul Mungma ◽  
Marlene Kienberger ◽  
Matthäus Siebenhofer

The present work develops the basics for the isolation of lactic acid, acetic acid and formic acid from a single as well as a mixed feed stream, as is present, for example, in fermentation broth for lactic acid production. Modelling of the phase equilibria data is performed using the law of mass action and shows that the acids are extracted according to their pka value, where formic acid is preferably extracted in comparison to lactic and acetic acid. Back-extraction was performed by 1 M NaHCO3 solution and shows the same tendency regarding the pka value. Based on lactic acid, the solvent phase composition, consisting of tri-n-octylamine/1-octanol/n-undecane, was optimized in terms of the distribution coefficient. The data clearly indicate that, compared to physical extraction, mass transfer can be massively enhanced by reactive extraction. With increasing tri-n-octylamine and 1-octanol concentration, the equilibrium constant increases. However, even when mass transfer increases, tri-n-octylamine concentrations above 40 wt%, lead to third phase formation, which needs to be prevented for technical application. The presented data are the basis for the transfer to liquid membrane permeation, which enables the handling of emulsion tending systems.


Author(s):  
Dan Cascaval ◽  
Radu Tudose ◽  
Comeliu Oniscu

In this paper the reactive extraction of some dicarboxylic acids (oxalic acid, malonic acid, succinic acid, glutaric acid, and adipic acid) have been studied. These acids have been extracted by Amberlite LA-2 in butyl acetate using a modified extraction cell of the Lewis type. Mechanism, limiting steps, and kinetic of the mass transfer process have been settled.


2011 ◽  
Vol 65 (5) ◽  
Author(s):  
Ján Marták ◽  
Štefan Schlosser ◽  
Marek Blahušiak

AbstractTransport of butyric acid (BA) through a supported liquid membrane (SLM) containing phosphonium ionic liquid (IL) Cyphos IL-104 and dodecane occurs by two mechanisms. The first is related to the physical solubility of undissociated acid in dodecane in the form of a monomer or dimer and the second to the reactive extraction of acid by IL. Although the model of pertraction indicates that increasing the mean concentration of acid in the feed, c F,lmv, increases the participation of pertraction based on the physical solubility; in the tested range of c F,lmv from 0 kmol m−3 to 0.45 kmol m−3 it does not play an important role and at the highest c F,lmv value, less than 10 % of the overall BA transport were achieved. The presence of IL in SLM considerably increases the value of the overall mass transfer coefficient in pertraction at low BA concentrations. However, at c F,lmv > 0.4 kmol m−3 its values are similar for SLMs with and without IL. Compared to lactic acid, the pertraction of BA through the same SLM is about five times faster. Reactive transport of BA is connected with the back transport of water via reverse micelles decomposition and formation on the extraction and stripping interfaces.


AIChE Journal ◽  
2011 ◽  
Vol 58 (5) ◽  
pp. 1346-1355 ◽  
Author(s):  
Mehmet Yücel Altunok ◽  
Murat Kalem ◽  
Andreas Pfennig

2019 ◽  
Vol 44 (3) ◽  
pp. 285-293 ◽  
Author(s):  
Samyar Zabihi ◽  
Mashallah Rezakazemi ◽  
S. H. Gholizadeh Moghaddam ◽  
Saeed Shirazian

Abstract In this work, a novel hybrid model was developed in order to study the membrane-based liquid separation process. The membrane system was a continuous hollow-fiber membrane module for contacting two aqueous and organic phases for reactive extraction of benzoic acid (BA) from aqueous solution. Two simulation approaches were utilized in order to build a robust hybrid model. The hybrid model is composed of computational fluid dynamics (CFD) and Adaptive Neuro-Fuzzy Inference System (ANFIS) elements. First, the CFD approach was used in order to capture the mass transfer of the system, whereas ANFIS was trained using the obtained CFD results. The hybrid model was used to predict the concentration distribution of solute in the membrane contactor. The combined simulation methodology can reduce the computational costs and time significantly, while it predicts the process with high accuracy. The ANFIS was trained based on the extracted data of concentration distribution from the CFD simulations, and the training and test analyses indicated great agreement. Different membership functions were evaluated, and it was revealed that using three functions, an {R^{2}} of 0.996 was obtained. The simulation results reveal that the BA concentration was changed along the membrane length and diffusional mass transfer is more significant in order to improve the separation efficiency of BA using membrane contactors. The developed hybrid simulation methodology is capable of design and optimization of membrane-based separation at low computational expenses and provides a predictive tool for process intensification.


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