Computer Simulation of Sulfated Cyclodextrin-Based Enantioselective Separation of Weak Bases With Partial, High-Concentration Filling of the Chiral Selector and Analyte Detection on the Cathodic Side.

Friederike A Sandbaumhüter, Wolfgang Thormann
Author Information
  1. Friederike A Sandbaumhüter: Medical Mass Spectrometry, Department of Pharmaceutical Biosciences, Biomedical Centre 591, Uppsala University, Uppsala, Sweden.
  2. Wolfgang Thormann: Institute for Infectious Diseases, University of Bern, Bern, Switzerland. ORCID

Abstract

Computer simulation was utilized to characterize the electrophoretic processes occurring during the enantioselective capillary electrophoresis-mass spectrometry (CE-MS) analysis of ketamine, norketamine, and hydroxynorketamine in a system with partial filling of the capillary with 19 mM (equals 5%) of highly sulfated γ-cyclodextrin (HS-γ-CD) and analyte detection on the cathodic side. Provided that the sample is applied without or with a small amount of the chiral selector, analytes become quickly focused and separated in the thereby formed HS-γ-CD gradient at the cathodic end of the sample compartment. This gradient broadens with time, remains stationary, and gradually reduces its span from the lower side due to diffusion such that analytes with high affinity to the anionic selector become released onto the other side of the focusing gradient where anionic migration and defocusing occur concomitantly. The analytes that remain focused until the migrating HS-γ-CD concentration boundary arrives at the cathodic end of the sample compartment become gradually released into the cathodic part and migrate in the absence of HS-γ-CD toward the detector. This behavior is dependent on the length of the HS-γ-CD zone in the cathodic part of the electrophoretic column, the initial sample zone length, and the sample matrix. The data presented reveal the possibility that only one of the enantiomers of an analyte migrates toward the detector, whereas the other is lost for the analysis, or that both enantiomers migrate toward the cathode but do not separate. Enantiomer separation followed by migration toward the cathode can only be achieved for analytes with rather low complexation constants, such as hydroxynorketamine assessed in this work, and is dependent on the slope of the HS-γ-CD focusing gradient. The gained insights illustrate that dynamic simulation is an indispensable tool to investigate electrophoretic processes of complex systems.

Keywords

References

  1. M. M. Coelho, C. Fernandes, F. Remião, and M. E. Tiritan, “Enantioselectivity in Drug Pharmacokinetics and Toxicity: Pharmacological Relevance and Analytical Methods,” Molecules (Basel, Switzerland) 26 (2021): 3113.
  2. S. Krait, M. Konjaria, and G. K. E. Scriba, “Advances of Capillary Electrophoresis Enantioseparations in Pharmaceutical Analysis (2017–2020),” Electrophoresis 42 (2021): 1709–1725.
  3. N. De Koster, C. P. Clark, and I. Kohler, “Past, Present, and Future Developments in Enantioselective Analysis Using Capillary Electromigration Techniques,” Electrophoresis 42 (2021): 38–57.
  4. G. Mion and T. Villevieille, “Ketamine Pharmacology: An Update (Pharmacodynamics and Molecular Aspects, Recent Findings),” CNS Neuroscience & Therapeutics 19 (2013): 370–380.
  5. S. Kohtala, “Ketamine‐50 Years in Use: From Anesthesia to Rapid Antidepressant Effects and Neurobiological Mechanisms,” Pharmacological Reports 73 (2021): 323–345.
  6. J. N. Highland, P. Zanos, L. M. Riggs, et al., “Hydroxynorketamines: Pharmacology and Potential Therapeutic Applications,” Pharmacological Reviews 73 (2021): 763–791.
  7. E. D. Kharasch and R. Labroo, “Metabolism of Ketamine Stereoisomers by Human Liver Microsomes,” Anesthesiology 77 (1992): 1201–1207.
  8. Y. Zhang, F. Ye, T. Zhang, S. Lv, L. Zhou, D. Du, et al., “Structural Basis of Ketamine Action on Human NMDA Receptors,” Nature 596 (2021): 301–305.
  9. Z. Desta, R. Moaddel, E. T. Ogburn, et al., “Stereoselective and Regiospecific Hydroxylation of Ketamine and Norketamine,” Xenobiotica 42 (2012): 1076–1087.
  10. S. Portmann, H. Y. Kwan, R. Theurillat, A. Schmitz, M. Mevissen, and W. Thormann, “Enantioselective Capillary Electrophoresis for Identification and Characterization of Human Cytochrome P450 Enzymes Which Metabolize Ketamine and Norketamine In Vitro,” Journal of Chromatography A 1217 (2010): 7942–7948.
  11. A. Schmitz, R. Theurillat, P. G. Lassahn, M. Mevissen, and W. Thormann, “CE Provides Evidence of the Stereoselective Hydroxylation of Norketamine in Equines,” Electrophoresis 30 (2009): 2912–2921.
  12. F. A. Sandbaumhüter, R. Theurillat, and W. Thormann, “Separation of Hydroxynorketamine Stereoisomers Using Capillary Electrophoresis With Sulfated β‐Cyclodextrin and Highly Sulfated γ‐Cyclodextrin,” Electrophoresis 38 (2017): 1878–1885.
  13. R. Theurillat, F. A. Sandbaumhüter, R. Bettschart‐Wolfensberger, and W. Thormann, “Microassay for Ketamine and Metabolites in Plasma and Serum Based on Enantioselective Capillary Electrophoresis With Highly Sulfated γ‐Cyclodextrin and Electrokinetic Analyte Injection,” Electrophoresis 37 (2016): 1129–1138.
  14. F. A. Sandbaumhüter and W. Thormann, “Enantioselective Capillary Electrophoresis Provides Insight Into the Phase II Metabolism of Ketamine and Its Metabolites In Vivo and In Vitro,” Electrophoresis 39 (2018): 1478–1481.
  15. F. A. Sandbaumhüter, R. Theurillat, and W. Thormann, “Effects of Medetomidine and Its Active Enantiomer Dexmedetomidine on N‐Demethylation of Ketamine in Canines Determined In Vitro Using Enantioselective Capillary Electrophoresis,” Electrophoresis 36 (2015): 2703–2712.
  16. A. Schmitz, W. Thormann, L. Moessner, R. Theurillat, K. Helmja, and M. Mevissen, “Enantioselective CE Analysis of Hepatic Ketamine Metabolism in Different Species In Vitro,” Electrophoresis 31 (2010): 1506–1516.
  17. F. A. Sandbaumhüter, J. T. Aerts, R. Theurillat, P. E. Andrén, W. Thormann, and E. T. Jansson, “Enantioselective CE‐MS Analysis of Ketamine Metabolites in Urine,” Electrophoresis 44 (2022): 125–134.
  18. B. Chankvetadze and G. Blaschke, “Enantioseparations in Capillary Electromigration Techniques: Recent Developments and Future Trends,” Journal of Chromatography A 906 (2001): 309–363.
  19. B. Chankvetadze, “Contemporary Theory of Enantioseparations in Capillary Electrophoresis,” Journal of Chromatography A 1567 (2018): 2–25.
  20. S. Zaugg and W. Thormann, “Enantioselective Determination of Drugs in Body Fluids by Capillary Electrophoresis,” Journal of Chromatography A 875 (2000): 27–41.
  21. P. Mikuš and K. Maráková, “Advanced CE for Chiral Analysis of Drugs, Metabolites, and Biomarkers in Biological Samples,” Electrophoresis 30 (2009): 2773–2802.
  22. J. Caslavska and W. Thormann, “Stereoselective Determination of Drugs and Metabolites in Body Fluids, Tissues and Microsomal Preparations by Capillary Electrophoresis (2000–2010),” Journal of Chromatography A 1218 (2011): 588–601.
  23. J. Caslavska and W. Thormann, “Bioanalysis of Drugs and Their Metabolites by Chiral Electromigration Techniques (2010–2020),” Electrophoresis 42 (2021): 1744–1760.
  24. H. Hrušková, I. Voráčová, R. Řemínek, and F. Foret, “Current Applications of Capillary Electrophoresis‐Mass Spectrometry for the Analysis of Biologically Important Analytes in Urine (2017 to Mid‐2021): A Review,” Journal of Separation Science 45 (2022): 305–324.
  25. S. A. Shamsi and F. Akter, “Capillary Electrophoresis Mass Spectrometry: Developments and Applications for Enantioselective Analysis From 2011–2020,” Molecules (Basel, Switzerland) 27 (2022): 4126.
  26. B. Seyfinejad and A. Jouyban, “Capillary Electrophoresis‐Mass Spectrometry in Pharmaceutical and Biomedical Analyses,” Journal of Pharmaceutical and Biomedical Analysis 221 (2022): 115059.
  27. M. Moini and C. M. Rollman, “Compatibility of Highly Sulfated Cyclodextrin With Electrospray Ionization at Low Nanoliter/Minute Flow Rates and Its Application to Capillary Electrophoresis/Electrospray Ionization Mass Spectrometric Analysis of Cathinone Derivatives and Their Optical Isomers,” Rapid Communications in Mass Spectrometry 29 (2015): 304–310.
  28. Y. Tanaka, K. Otsuka, and S. Terabe, “Separation of Enantiomers by Capillary Electrophoresis‐Mass Spectrometry Employing a Partial Filling Technique With a Chiral Crown Ether,” Journal of Chromatography A 875 (2000): 323–330.
  29. B. Yan, Z. A. Huang, N. Yahaya, and D. D. Y. Chen, “Enantioselective Analysis in Complex Matrices Using Capillary Electrophoresis‐Mass Spectrometry: A Case Study of the Botanical Drug Corydalis Rhizoma,” Journal of Chromatography B, Analytical Technologies in the Biomedical and Life Sciences 1152 (2020): 122216.
  30. F.‐T. A. Chen, G. Shen, and R. A. Evangelista, “Characterization of Highly Sulfated Cyclodextrins,” Journal of Chromatography A 924 (2001): 523–532.
  31. V. Hruška, M. Beneš, J. Svobodová, I. Zusková, and B. Gaš, “Simulation of the Effects of Complex‐ Formation Equilibria in Electrophoresis: I. Mathematical Model,” Electrophoresis 33 (2012): 938–947.
  32. J. Svobodová, M. Beneš, V. Hruška, K. Ušelová, and B. Gaš, “Simulation of the Effects of Complex‐ Formation Equilibria in Electrophoresis: II. Experimental Verification,” Electrophoresis 33 (2012): 948–957.
  33. M. C. Breadmore, H. Y. Kwan, J. Caslavska, and W. Thormann, “Dynamic High‐Resolution Computer Simulation of Electrophoretic Enantiomer Separations With Neutral Cyclodextrins as Chiral Selectors,” Electrophoresis 33 (2012): 958–969.
  34. W. Thormann, J. Caslavska, and R. A. Mosher, “Computer Simulation of Electrophoretic Aspects of Enantiomer Migration and Separation in Capillary Electrochromatography With a Neutral Selector,” Electrophoresis 36 (2015): 773–783.
  35. J. Caslavska and W. Thormann, “Contemporary Chiral Simulators for Capillary Zone Electrophoresis,” Electrophoresis 41 (2020): 502–513.
  36. W. Thormann and R. A. Mosher, “Dynamic Computer Simulations of Electrophoresis: 2010–2020,” Electrophoresis 43 (2022): 10–36.
  37. S. Mikkonen, J. Caslavska, V. Hruška, and W. Thormann, “Computer Simulation and Enantioselective Capillary Electrophoresis to Characterize Isomer Mixtures of Sulfated β‐Cyclodextrins,” Electrophoresis 39 (2018): 770–778.
  38. S. Mikkonen and W. Thormann, “Computer Simulation of the Enantioselective Separation of Weak Bases in an Online Capillary Electrophoresis Based Microanalysis Configuration Comprising Sulfated Cyclodextrin as Selector,” Electrophoresis 39 (2018): 1482–1487.
  39. P. Gebauer and P. Boček, “A New Type of Migrating Zone Boundary in Electrophoresis: 1. General Description of Boundary Behavior Based on Electromigration Dispersion Velocity Profiles,” Electrophoresis 26 (2005): 453–462.
  40. J. Svobodová, M. Beneš, P. Dubský, G. Vigh, and B. Gaš, “Simulation of the Effects of Complex Formation Equilibria in Electrophoresis: III. Simultaneous Effects of Chiral Selector Concentration and Background Electrolyte pH,” Electrophoresis 33 (2012): 3012–3020.
  41. W. Thormann, L. Chankvetadze, M. Gumustas, and B. Chankvetadze, “Dynamic Computer Simulation of Electrophoretic Enantiomer Migration Order and Separation in Presence of a Neutral Cyclodextrin,” Electrophoresis 35 (2014): 2833–2841.
  42. W. Thormann, “Separability of Stereoisomers by Electrokinetic Chromatography in Presence of a Neutral Selector—Fundamental Aspects Assessed by Computer Simulation,” Journal of Chromatography A 1673 (2022): 463087.
  43. R. A. Mosher, W. Thormann, A. Graham, and M. Bier, “The Formation of Stable pH Gradients With Weak Monovalent Buffers for Isoelectric Focusing in Free Solution,” Electrophoresis 6 (1985): 545–551.
  44. R. A. Mosher, D. A. Saville, and W. Thormann. The Dynamics of Electrophoresis (Weinheim: VCH Publishers, 1992).

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