Micellar gradients in size-exclusion simulated moving bed chromatography

Horneman, D.A.; Ottens, Marcel; Keurentjes, J.T.F.; Wielen, Luuk A.M. van der

doi:10.1016/j.chroma.2006.01.134

Cited by 8 publications

(4 citation statements)

References 22 publications

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“…Two types of gradients can be formed: an upward gradient, in which the surfactants are predominantly transported with the liquid flow, or a downward gradient in which the surfactant is predominantly transported with the solid phase23 The constraints for separation in both cases are given in Table 3. The derivation of these constraints is given elsewhere 24. In this article the surfactant used is C 12 E 23 .…”

Section: Resultsmentioning

confidence: 99%

Viral clearance using surfactant‐aided size‐exclusion chromatography

et al. 2007

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Surfactant‐aided size‐exclusion chromatography (SASEC) is applied to the viral clearance of blood proteins, taking BSA as an example. Fixed bed systems as well as simulated moving bed (SMB) systems are examined. SASEC shows a better performance of this separation in terms of log reduction value (LRV), productivity of BSA, yield on BSA and solvent consumption compared to normal size‐exclusion chromatography (SEC) in fixed bed as well as in SMB systems. © 2007 American Institute of Chemical Engineers AIChE J, 2007

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Section: Resultsmentioning

confidence: 99%

Viral clearance using surfactant‐aided size‐exclusion chromatography

et al. 2007

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“…The application of gradients can be used in the performance improvement of simulated moving bed (SMB) as well as true moving bed (TMB) chromatography in which the most usual is the solvent-gradient method applied to SMB processes [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. Other techniques include temperature gradients in SMB [16], micellar gradients in size-exclusion SMB [17], salt gradients in size-exchange SMB [18], pressure gradient in supercritical eluent SMB [19], voltage gradients in true moving bed (TMB) electrophoresis [20], etc. Migliorini et al [16] showed the feasibility of temperature gradients applied in SMB, which may lead to significant advantages over the isothermal process mode.…”

Section: Introductionmentioning

confidence: 99%

“…The authors observed an improvement in the productivity and a remarkable reduction in the solvent consumption with the possibility of tuning the enrichment by selection of proper temperature profile. Horneman et al [17] showed the viability of surfactant-aided size-exclusion chromatography (SASEC) application on a SMB unit through selectivity modification by the addition of non-ionic micelles to the mobile phase. The use of a correct gradient leads to a significantly higher throughput of product concentration, which also leads to a lower solvent consumption if compared to a conventional SEC-SMB.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the New Phi-Plot Modeling Approach Optimization by Stepwise Solvent Gradient Simulated Moving Bed (SG-SMB) Simulator

Câmara¹

2015

Mass Transfer - Advancement in Process Modelling

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A new analytical design approach for operating conditions determination of solvent gradient simulated moving bed (SG-SMB) processes was proposed, which was based on the equilibrium theory. Also a new implemented simulator for SG-SMB was proposed to evaluate the new design approach. The simulator was totally developed in FORTRAN 90/95, assuming a stepwise modeling approach with a lumped mass transfer model between the solid adsorbent and liquid phase. The influence of the solvent modifier was considered by applying the Abel model, which takes into account the effect of modifier volume fraction over the partition coefficient. The optimal conditions determined from the new design approach were compared to the simulation results of a SG-SMB unit applied to the experimental separation of the amino acids phenylalanine and tryptophan. The new design approach, which is based on χ equation and phi-plot analysis, was able to predict a great number of operating conditions for complete separation of such molecules, which was validated by the simulations carried out by the new SG-SMB simulator. Such a SG-SMB simulator provides simulation results with very good agreement fitting the experimental data of the amino acid concentrations both in the extract as well as in the raffinate.

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“…Previously, particularly interesting was the use of gradient elution in terms of micelle concentration and organic modifier in MLC 17–19. The gradient methods would involve an interesting MLC‐specific aspect, that the composition of the stationary phase could be changed during a single run, leading to variations in the column dead time.…”

Section: Introductionmentioning

confidence: 99%

Micellar and aqueous‐organic liquid chromatography using sub‐2 μm packings for fast separation of natural phenolic compounds

Cao

Cheng

2010

J of Separation Science

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The objective of the present work was to investigate the chromatographic behavior of natural phenolic compounds in micellar and aqueous-organic LC using a short column packed with 1.8 microm particles. Firstly, the effect of ACN and SDS on elution strength and selectivity was examined by isocratic submicellar (0-30% ACN/5% 1-butanol/1-6 mM SDS) and micellar (0-30% ACN/5% 1-butanol/40-60 mM SDS) systems. The varied concentrations of two modifiers in the mobile phases revealed different eluting power. Then, the application of organic modifier gradient was discussed in both submicellar and micellar LC using mobile phases of 4 mM SDS/5% 1-butanol or 50 mM SDS/5% 1-butanol containing ACN gradient from 0 to 30%, respectively. For micellar system, the separation was found to be better in gradient than isocratic elution. Additionally, the sensitivity of aqueous-organic LC was examined. The mobile phase was a mixture of ACN and water employing gradient elution at a flow rate of 0.5 mL/min, with analysis time below 9 min. It was found that separation efficiency was significantly better compared with micellar LC. Besides, the aqueous-organic LC has been applied to separation of various phenolic compounds in Yangwei granule or Radix Astragali samples.

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Micellar gradients in size-exclusion simulated moving bed chromatography

Cited by 8 publications

References 22 publications

Viral clearance using surfactant‐aided size‐exclusion chromatography

Viral clearance using surfactant‐aided size‐exclusion chromatography

Evaluation of the New Phi-Plot Modeling Approach Optimization by Stepwise Solvent Gradient Simulated Moving Bed (SG-SMB) Simulator

Micellar and aqueous‐organic liquid chromatography using sub‐2 μm packings for fast separation of natural phenolic compounds

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