Optimization of reactive simulated moving bed systems with modulation of feed concentration for production of glycol ether ester

2014 ◽  
Vol 1360 ◽  
pp. 196-208 ◽  
Author(s):  
Gaurav Agrawal ◽  
Jungmin Oh ◽  
Balamurali Sreedhar ◽  
Shan Tie ◽  
Megan E. Donaldson ◽  
...  
Keyword(s):  
Glycol Ether ◽  
Simulated Moving Bed ◽  
Feed Concentration ◽  
Moving Bed ◽  
Ether Ester

Model-based design and experimental validation of simulated moving bed reactor for production of glycol ether ester

2016 ◽  
Vol 301 ◽  
pp. 188-199 ◽  
Author(s):  
Shan Tie ◽  
Balamurali Sreedhar ◽  
Gaurav Agrawal ◽  
Jungmin Oh ◽  
Megan Donaldson ◽  
...  
Keyword(s):  
Experimental Validation ◽  
Glycol Ether ◽  
Simulated Moving Bed ◽  
Moving Bed ◽  
Model Based ◽  
Ether Ester

Experimental evaluation of simulated moving bed reactor for transesterification reaction synthesis of glycol ether ester

Adsorption ◽  
2019 ◽  
Vol 25 (4) ◽  
pp. 795-807 ◽  
Author(s):  
Shan Tie ◽  
Balamurali Sreedhar ◽  
Megan Donaldson ◽  
Timothy Frank ◽  
Alfred K. Schultz ◽  
...  
Keyword(s):  
Experimental Evaluation ◽  
Glycol Ether ◽  
Transesterification Reaction ◽  
Simulated Moving Bed ◽  
Reaction Synthesis ◽  
Moving Bed ◽  
Ether Ester

Process integration for simulated moving bed reactor for the production of glycol ether acetate

2019 ◽  
Vol 140 ◽  
pp. 1-10 ◽  
Author(s):  
Shan Tie ◽  
Balamurali Sreedhar ◽  
Megan Donaldson ◽  
Timothy Frank ◽  
Alfred K. Schultz ◽  
...  
Keyword(s):  
Process Integration ◽  
Glycol Ether ◽  
Simulated Moving Bed ◽  
Moving Bed

Improving Simulated Moving Bed Processes by Cyclic Modulation of the Feed Concentration

2002 ◽  
Vol 25 (12) ◽  
pp. 1151-1155 ◽  
Author(s):  
H. Schramm ◽  
M. Kaspereit ◽  
A. Kienle ◽  
A. Seidel-Morgenstern
Keyword(s):  
Simulated Moving Bed ◽  
Feed Concentration ◽  
Moving Bed

Simulated moving bed process with cyclic modulation of the feed concentration

2003 ◽  
Vol 1006 (1-2) ◽  
pp. 77-86 ◽  
Author(s):  
Henning Schramm ◽  
Malte Kaspereit ◽  
Achim Kienle ◽  
Andreas Seidel-Morgenstern
Keyword(s):  
Simulated Moving Bed ◽  
Feed Concentration ◽  
Moving Bed

Improved operation of simulated moving bed processes through cyclic modulation of feed flow and feed concentration

2003 ◽  
Vol 58 (23-24) ◽  
pp. 5217-5227 ◽  
Author(s):  
H. Schramm ◽  
A. Kienle ◽  
M. Kaspereit ◽  
A. Seidel-Morgenstern
Keyword(s):  
Simulated Moving Bed ◽  
Feed Concentration ◽  
Moving Bed

Simulated Moving Bed Purification for Flavonoids from Tartary Buckwheat Shell

2020 ◽  
Vol 58 (4) ◽  
pp. 362-372
Author(s):  
Liangyu Li ◽  
Wanxia Liu ◽  
Dawei Song ◽  
Chaoyang Li ◽  
Pengyu Jia ◽  
...  
Keyword(s):  
Flow Rate ◽  
Antioxidant Properties ◽  
Tartary Buckwheat ◽  
Preparative Chromatography ◽  
Simulated Moving Bed ◽  
Feed Concentration ◽  
Adsorption Parameters ◽  
Moving Bed ◽  
Ic50 Values ◽  
Dpph Scavenging

Abstract Tartary buckwheat shell is an important by-product of Tartary buckwheat production. Previous studies shown that Tartary buckwheat shells are rich in flavonoids, which are responsible for their antioxidant properties. Due to lack of advanced separation technologies, the purification for Tartary buckwheat shell is still in the laboratory scale, and could not realize the industrialization production. According to the results of static adsorption experiment, AB-8 resin was selected for Tartary buckwheat shell flavonoids (TBSF) adsorption. The adsorption isotherm, resin adsorption thermodynamic and dynamic adsorption parameters were studied. And the adsorption of AB-8 resin for TBSF was determined as an endothermic process. Results of preparative chromatography experiment showed that TBSF could be efficiently purified by AB-8 resin. And the optimal parameters were: feed concentration 25 mg/mL, desorption flow rate 2.5 mL/min. Under these conditions, the TBSF were separated effectively. Results of liquid chromatography-mass spectrometer (LC-MS) indicated that there were seven kinds of flavonoids in Tartary buckwheat shell, which were mainly from the 40 and 60% of ethanol elution. Simulated moving bed (SMB) was applied for TBSF purification the first time in this study. The optimal conditions of SMB were as following: adsorption zone flow rate 7.0 mL/min, contaminant removal zone flow rate 17.9 mL/min, product elution zone flow rate 22.3 mL/min, regeneration zone flow rate 21.5 mL/min, water washing zone flow rate 27.5 mL/min, switching time 1260 S, and the purity and yield of TBSF was 90 ± 0.22% and 85 ± 0.28%, respectively. The IC50 values of α-glucosidase inhibition activities and DPPH scavenging activity of the purified TBSF were 57.09 ± 0.15 and 7.92 ± 0.23 μg/mL, respectively. The constituents of TBSF showed higher α-glucosidase inhibition activities and antioxidant than raw TBSF and rutin. The results suggest that SMB is a proper method for industrial production of TBSF, and SMB could be applied for other natural products purification.

scholarly journals Multi-Objective Optimizations of Non-Isothermal Simulated Moving Bed Reactor: Parametric Analyses

Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 360
Author(s):  
Jian Wang ◽  
Wenwei Chen ◽  
Yan Li ◽  
Jin Xu ◽  
Weifang Yu ◽  
...  
Keyword(s):  
Optimization Problems ◽  
Optimal Solution ◽  
Simulated Moving Bed ◽  
Model Parameters ◽  
Feed Concentration ◽  
Moving Bed ◽  
Adsorptive Separation ◽  
Parametric Analyses ◽  
Rate Ratios ◽  
Isothermal Operation

Simulated moving bed reactor (SMBR), a multicolumn multifunctional integrated reactor system, which can be exploited with on-site adsorptive separation to enhance conversion of equilibrium-limited reversible chemical reaction. In this article, for generality, a dimensionless SMBR model was developed and effects of five representative temperature distributions among different zones on the performance of an SMBR for reversible reaction in the general form of a reactant decomposed to two products were evaluated based on simultaneous maximization of unit throughput and product purity. Multipliers were applied to adjust some of the model parameters such that different operation modes can be compared under various conditions in the parametric space. The multiobjective optimization problems were solved using the non-dominated sorting genetic algorithm. All simulations were carried out using FORTRAN codes. The results showed that both kinetics and adsorptive separation play important roles in SMBR. When kinetics is fast or adsorptive potency of the reactant is higher than the desired product (B) but lower than byproduct (C), non-isothermal operation can significantly improve unit throughput. On the contrary, feed concentration and reaction enthalpy have minor effects on the optimal solutions. Decision variables based on flow rate ratios and internal concentration profiles were used to explain the trends of Pareto optimal solution.

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