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Mechanistic modelling and mechanistic monitoring: simulation and shadowgraph imaging of particulate dissolution in the flow-through apparatus.
J Pharm Sci. 2011 Mar; 100(3):1102-15.JP

Abstract

Accurate mechanistic modelling of a complex system requires insight into the process being simulated, in addition to a theoretical 'first-principles' approach. The current work uses a numerical mechanistic model to simulate dissolution of a particulate system in the flow-through dissolution apparatus. A shadowgraph imaging method is also used to monitor the dissolution process, providing real-time estimates of particle motion, number and total dissolution time. Experimental dissolution studies of ibuprofen particles are used to assess the accuracy of the model. The numerical model adequately predicts the ibuprofen particle dissolution rate at 16 mL min(-1) . Parameter sensitivity analysis identified dissolution test circumstances requiring more, or less, accuracy in the particle size and density calculations. The shadowgraph imaging method successfully determined the total dissolution time and decreasing particle numbers over time. The images confirmed the pulsing particle motion of the numerical model but revealed some more complex velocity patterns, assisting numerical model development. Further optimisation of the sampling window is required to capture all relevant particle motion and changing particle size distribution. A mechanistic model can successfully simulate particulate dissolution in the flow-through apparatus, and when used along with shadowgraph imaging, can give valuable insight into the dissolution process mechanisms and environment.

Authors+Show Affiliations

School of Pharmacy and Pharmaceutical Sciences, Trinity College Dublin, Dublin 2, Ireland. ddarcy@tcd.ieNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

20848646

Citation

D'arcy, Deirdre M., and Tim Persoons. "Mechanistic Modelling and Mechanistic Monitoring: Simulation and Shadowgraph Imaging of Particulate Dissolution in the Flow-through Apparatus." Journal of Pharmaceutical Sciences, vol. 100, no. 3, 2011, pp. 1102-15.
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.
D'arcy, D. M., & Persoons, T. (2011). Mechanistic modelling and mechanistic monitoring: simulation and shadowgraph imaging of particulate dissolution in the flow-through apparatus. Journal of Pharmaceutical Sciences, 100(3), 1102-15. https://doi.org/10.1002/jps.22337
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. PubMed PMID: 20848646.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Mechanistic modelling and mechanistic monitoring: simulation and shadowgraph imaging of particulate dissolution in the flow-through apparatus. AU - D'arcy,Deirdre M, AU - Persoons,Tim, Y1 - 2010/09/16/ PY - 2010/06/16/received PY - 2010/07/15/revised PY - 2010/07/30/accepted PY - 2010/9/18/entrez PY - 2010/9/18/pubmed PY - 2011/8/19/medline SP - 1102 EP - 15 JF - Journal of pharmaceutical sciences JO - J Pharm Sci VL - 100 IS - 3 N2 - Accurate mechanistic modelling of a complex system requires insight into the process being simulated, in addition to a theoretical 'first-principles' approach. The current work uses a numerical mechanistic model to simulate dissolution of a particulate system in the flow-through dissolution apparatus. A shadowgraph imaging method is also used to monitor the dissolution process, providing real-time estimates of particle motion, number and total dissolution time. Experimental dissolution studies of ibuprofen particles are used to assess the accuracy of the model. The numerical model adequately predicts the ibuprofen particle dissolution rate at 16 mL min(-1) . Parameter sensitivity analysis identified dissolution test circumstances requiring more, or less, accuracy in the particle size and density calculations. The shadowgraph imaging method successfully determined the total dissolution time and decreasing particle numbers over time. The images confirmed the pulsing particle motion of the numerical model but revealed some more complex velocity patterns, assisting numerical model development. Further optimisation of the sampling window is required to capture all relevant particle motion and changing particle size distribution. A mechanistic model can successfully simulate particulate dissolution in the flow-through apparatus, and when used along with shadowgraph imaging, can give valuable insight into the dissolution process mechanisms and environment. SN - 1520-6017 UR - https://www.unboundmedicine.com/medline/citation/20848646/Mechanistic_modelling_and_mechanistic_monitoring:_simulation_and_shadowgraph_imaging_of_particulate_dissolution_in_the_flow_through_apparatus_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0022-3549(15)32251-6 DB - PRIME DP - Unbound Medicine ER -