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Understanding the Potential for Dissolution Simulation to Explore the Effects of Medium Viscosity on Particulate Dissolution

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  • Theme: Advancements in Dissolution Testing of Oral and Non-Oral Formulations
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Abstract

Viscosity, influenced by medium composition, will affect the hydrodynamics of a dissolution system. Dissolution simulation methods are valuable tools to explore mechanistic dissolution effects, with an understanding of limitations of any simulation method essential to its appropriate use. The aims of this paper were a) to explore, using dissolution simulation, the effects of slightly viscous media on particulate dissolution and b) to illustrate approaches to, and limitations of, the dissolution simulations. A lumped parameter fluid dynamics dissolution simulation model (SIMDISSO™) was used to simulate particulate (20 and 200 μm diameter) dissolution in media with viscosity at 37 °C of water (0.7 mPa.s), milk (1.4 mPa.s) and a nutrient drink (12.3 mPa.s). Effects of flow rate, modality (constant vs pulsing), viscosity and gravitational and particle motion/sedimentation effects on simulated dissolution were explored, in the flow through and paddle apparatuses as appropriate. Shadowgraph imaging (SGI) was used to visualise particle suspension behaviour. Flow rate, hydrodynamic viscous effects and disabling particle motion and gravitational effects affected simulated dissolution of larger particles. SGI imaging revealed retention of particles in suspension in 1.4 mPa.s medium, which sedimented in water. The effect of diffusion adjusted for viscosity was significant for both particle sizes. The limitations of this 1D simulation approach would be greater for larger particles in low velocity regions of the paddle apparatus. Even slightly viscous media can affect dissolution of larger particles with dissolution simulation affording insight into the mechanisms involved, provided the assumptions and limitations of the simulation approach are clarified and understood.

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References

  1. Todaro V, Persoons T, Grove G, Healy AM, D’Arcy DM. Characterization and simulation of hydrodynamics in the paddle, basket and flow-through dissolution testing apparatuses-a review. Dissolut Technol. 2017;24(3):24–36.

    Article  Google Scholar 

  2. Markopoulos C, Andreas CJ, Vertzoni M, Dressman J, Reppas C. In-vitro simulation of luminal conditions for evaluation of performance of oral drug products: choosing the appropriate test media. Eur J Pharm Biopharm. 2015;93:173–82.

    Article  CAS  Google Scholar 

  3. Maharaj AR, Edginton AN, Fotaki N. Assessment of age-related changes in pediatric gastrointestinal solubility. Pharm Res. 2016;33(1):52–71. https://doi.org/10.1007/s11095-015-1762-7.

    Article  CAS  PubMed  Google Scholar 

  4. Kostewicz ES, Abrahamsson B, Brewster M, Brouwers J, Butler J, Carlert S, et al. In vitro models for the prediction of in vivo performance of oral dosage forms. Eur J Pharm Sci. 2014;57:342–66. https://doi.org/10.1016/j.ejps.2013.08.024.

    Article  CAS  PubMed  Google Scholar 

  5. McAllister M. Dynamic dissolution: a step closer to predictive dissolution testing? Mol Pharm. 2010;7(5):1374–87. https://doi.org/10.1021/mp1001203.

    Article  CAS  PubMed  Google Scholar 

  6. Pedersen PB, Vilmann P, Bar-Shalom D, Müllertz A, Baldursdottir S. Characterization of fasted human gastric fluid for relevant rheological parameters and gastric lipase activities. Eur J Pharm Biopharm. 2013;85(3):958–65.

    Article  CAS  Google Scholar 

  7. Reppas C, Karatza E, Goumas C, Markopoulos C, Vertzoni M. Characterization of contents of distal ileum and cecum to which drugs/drug products are exposed during bioavailability/bioequivalence studies in healthy adults. Pharm Res. 2015;32(10):3338–49. https://doi.org/10.1007/s11095-015-1710-6.

    Article  CAS  PubMed  Google Scholar 

  8. Jantratid E, Janssen N, Reppas C, Dressman JB. Dissolution media simulating conditions in the proximal human gastrointestinal tract: an update. Pharm Res. 2008;25(7):1663–76. https://doi.org/10.1007/s11095-008-9569-4.

    Article  CAS  PubMed  Google Scholar 

  9. Garbacz G, Cadé D, Benameur H, Weitschies W. Bio-relevant dissolution testing of hard capsules prepared from different shell materials using the dynamic open flow through test apparatus. Eur J Pharm Sci. 2014;57:264–72.

    Article  CAS  Google Scholar 

  10. Sun W, Houghton LA, Read N, Grundy D, Johnson A. Effect of meal temperature on gastric emptying of liquids in man. Gut. 1988;29(3):302–5.

    Article  CAS  Google Scholar 

  11. Koziolek M, Grimm M, Becker D, Iordanov V, Zou H, Shimizu J, et al. Investigation of pH and temperature profiles in the GI tract of fasted human subjects using the Intellicap® system. J Pharm Sci. 2015;104(9):2855–63.

    Article  CAS  Google Scholar 

  12. Schiller C, Frohlich CP, Giessmann T, Siegmund W, Monnikes H, Hosten N, et al. Intestinal fluid volumes and transit of dosage forms as assessed by magnetic resonance imaging. Aliment Pharmacol Ther. 2005;22(10):971–9. https://doi.org/10.1111/j.1365-2036.2005.02683.x.

    Article  CAS  PubMed  Google Scholar 

  13. Koziolek M, Schneider F, Grimm M, Modebeta C, Seekamp A, Roustom T, et al. Intragastric pH and pressure profiles after intake of the high-caloric, high-fat meal as used for food effect studies. J Control Release. 2015;220(Pt A):71–8. https://doi.org/10.1016/j.jconrel.2015.10.022.

    Article  CAS  PubMed  Google Scholar 

  14. Perivilli S, Kakhi M, Stippler E. Computational fluid dynamics simulation of hydrodynamics in USP apparatus 3-the influence of dip rate. Pharm Res. 2015;32(4):1304–15. https://doi.org/10.1007/s11095-014-1534-9.

    Article  CAS  PubMed  Google Scholar 

  15. Perivilli S, Prevost R, Stippler E. Velocity field visualization in USP dissolution apparatus 3 using particle image velocimetry. Pharm Res. 2017;34(6):1330–7. https://doi.org/10.1007/s11095-017-2151-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Pal A, Indireshkumar K, Schwizer W, Abrahamsson B, Fried M, Brasseur JG. Gastric flow and mixing studied using computer simulation. Proc R Soc B. 2004;271(1557):2587–94. https://doi.org/10.1098/rspb.2004.2886.

    Article  PubMed  Google Scholar 

  17. Du P, O'Grady G, Gao J, Sathar S, Cheng LK. Toward the virtual stomach: progress in multiscale modeling of gastric electrophysiology and motility. Wiley Interdiscip Rev Syst Biol Med. 2013;5(4):481–93. https://doi.org/10.1002/wsbm.1218.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Du P, Paskaranandavadivel N, Angeli TR, Cheng LK, O'Grady G. The virtual intestine: in silico modeling of small intestinal electrophysiology and motility and the applications. Wiley Interdiscip Rev Syst Biol Med. 2016;8(1):69–85. https://doi.org/10.1002/wsbm.1324.

    Article  PubMed  Google Scholar 

  19. Ferrua MJ, Singh RP. Modeling the fluid dynamics in a human stomach to gain insight of food digestion. J Food Sci. 2010;75(7):R151–62. https://doi.org/10.1111/j.1750-3841.2010.01748.x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Imai Y, Kobayashi I, Ishida S, Ishikawa T, Buist M, Yamaguchi T. Antral recirculation in the stomach during gastric mixing. Am J Phys. 2013;304(5):G536–42. https://doi.org/10.1152/ajpgi.00350.2012.

    Article  CAS  Google Scholar 

  21. Klein S, Butler J, Hempenstall JM, Reppas C, Dressman JB. Media to simulate the postprandial stomach I. Matching the physicochemical characteristics of standard breakfasts. J Pharm Pharmacol. 2004;56(5):605–10. https://doi.org/10.1211/0022357023367.

    Article  CAS  PubMed  Google Scholar 

  22. Radwan A, Wagner M, Amidon GL, Langguth P. Bio-predictive tablet disintegration: effect of water diffusivity, fluid flow, food composition and test conditions. Eur J Pharm Sci. 2014;57:273–9.

    Article  CAS  Google Scholar 

  23. Korson L, Drost-Hansen W, Millero FJ. Viscosity of water at various temperatures. J Phys Chem. 1969;73(1):34–9.

    Article  CAS  Google Scholar 

  24. Klein S. The use of biorelevant dissolution media to forecast the in vivo performance of a drug. AAPS J. 2010;12(3):397–406.

    Article  CAS  Google Scholar 

  25. Sugano K. Theoretical comparison of hydrodynamic diffusion layer models used for dissolution simulation in drug discovery and development. Int J Pharm. 2008;363(1–2):73–7. https://doi.org/10.1016/j.ijpharm.2008.07.002.

    Article  CAS  PubMed  Google Scholar 

  26. D’Arcy DM, Persoons T. Mechanistic modelling and mechanistic monitoring: simulation and shadowgraph imaging of particulate dissolution in the flow-through apparatus. J Pharm Sci. 2011;100(3):1102–15. https://doi.org/10.1002/jps.22337.

    Article  CAS  PubMed  Google Scholar 

  27. United States Pharmacopoeia 41/National Formulary 36. Rockwell, MD, USA: The United States Pharmacopeial Convention; 2018.

  28. Serrano DR, Persoons T, D'Arcy DM, Galiana C, Dea-Ayuela MA, Healy AM. Modelling and shadowgraph imaging of cocrystal dissolution and assessment of in vitro antimicrobial activity for sulfadimidine/4-aminosalicylic acid cocrystals. Eur J Pharm Sci. 2016;89:125–36. https://doi.org/10.1016/j.ejps.2016.04.030.

    Article  CAS  PubMed  Google Scholar 

  29. Bird R, Stewart W, Lightfoot E. Transport phenomena. 2nd ed. New York: Wiley; 2002.

    Google Scholar 

  30. Kovacevic I, Parojcic J, Homsek I, Tubic-Grozdanis M, Langguth P. Justification of biowaiver for carbamazepine, a low soluble high permeable compound, in solid dosage forms based on IVIVC and gastrointestinal simulation. Mol Pharm. 2009;6(1):40–7. https://doi.org/10.1021/mp800128y.

    Article  CAS  PubMed  Google Scholar 

  31. Lee H, Park SA, Sah H. Surfactant effects upon dissolution patterns of carbamazepine immediate release tablet. Arch Pharm Res. 2005;28(1):120–6.

    Article  CAS  Google Scholar 

  32. Diebold SM, Dressman JB. Hydrodynamik kompendialer Lösungsgeschwindigkeits-Testapparaturen Paddle und Basket. Pharm Ind. 2001;63(1):94–104.

    CAS  Google Scholar 

  33. Diebold SM. Hydrodynamik und Losungsgeschwindigkeit-Untersuchungen zum Einfluss der Hydrodynamik auf die Losungsgeschindigkeit schwer wasserloslicher Arzneistoffe. Frankfurt am Main. Germany: Johann Wolfgang Goethe Universitat; 2000.

    Google Scholar 

  34. D’Arcy DM, Corrigan OI, Healy AM. Hydrodynamic simulation (computational fluid dynamics) of asymmetrically positioned tablets in the paddle dissolution apparatus: impact on dissolution rate and variability. J Pharm Pharmacol. 2005;57:1243–50.

    Article  Google Scholar 

  35. D’Arcy DM. Use of computational fluid dynamics to investigate the relationship between hydrodynamics and rates of dissolution. Trinity College Dublin: Dublin; 2007.

    Google Scholar 

  36. Anwar S, Fell J, Dickinson P. An investigation of the disintegration of tablets in biorelevant media. Int J Pharm. 2005;290(1–2):121–7.

    Article  CAS  Google Scholar 

  37. Cvijić S, Parojčić J, Langguth P. Viscosity-mediated negative food effect on oral absorption of poorly-permeable drugs with an absorption window in the proximal intestine: in vitro experimental simulation and computational verification. Eur J Pharm Sci. 2014;61:40–53.

    Article  Google Scholar 

  38. Radwan A, Ebert S, Amar A, Münnemann K, Wagner M, Amidon GL, et al. Mechanistic understanding of food effects: water diffusivity in gastrointestinal tract is an important parameter for the prediction of disintegration of solid oral dosage forms. Mol Pharm. 2013;10(6):2283–90.

    Article  CAS  Google Scholar 

  39. Radwan A, Amidon GL, Langguth P. Mechanistic investigation of food effect on disintegration and dissolution of BCS class III compound solid formulations: the importance of viscosity. Biopharm Drug Dispos. 2012;33(7):403–16. https://doi.org/10.1002/bdd.1798.

    Article  CAS  PubMed  Google Scholar 

  40. Braun RJ, Parrott EL. Influence of viscosity and solubilization on dissolution rate. J Pharm Sci. 1972;61(2):175–8.

    Article  CAS  Google Scholar 

  41. Sarisuta N, Parrott EL. Relationship of dissolution rate to viscosity of polymeric solutions. J Pharm Sci. 1982;71(12):1375–80.

    Article  CAS  Google Scholar 

  42. Nelson K, Shah A. Mass transport in dissolution kinetics I: convective diffusion to assess the role of fluid viscosity under forced flow conditions. J Pharm Sci. 1987;76(10):799–802.

    Article  CAS  Google Scholar 

  43. Shah A, Nelson K. Mass transport in dissolution kinetics II: convective diffusion to assess role of viscosity under conditions of gravitational flow. J Pharm Sci. 1987;76(12):910–3.

    Article  CAS  Google Scholar 

  44. Zarmpi P, Flanagan T, Meehan E, Mann J, Fotaki N. Biopharmaceutical understanding of excipient variability: effect of HPMC level and viscosity type on drug solubility. AAPS Annual Meeting; San Diego, USA: http://abstracts.aaps.org/published/; 2017.

  45. Higuchi M, Yoshihashi Y, Tarada K, Sugano K. Minimum rotation speed to prevent coning phenomena in compendium paddle dissolution apparatus. Eur J Pharm Sci. 2014;65:74–8. https://doi.org/10.1016/j.ejps.2014.09.010.

    Article  CAS  PubMed  Google Scholar 

  46. Higuchi M, Terada K, Sugano K. Coning phenomena under laminar flow. Eur J Pharm Sci. 2015;80:53–5.

    Article  CAS  Google Scholar 

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Correspondence to Deirdre M. D’Arcy.

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D’Arcy, D.M., Persoons, T. Understanding the Potential for Dissolution Simulation to Explore the Effects of Medium Viscosity on Particulate Dissolution. AAPS PharmSciTech 20, 47 (2019). https://doi.org/10.1208/s12249-018-1260-4

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