Transport in QSAR IV

Waterbeemd, J. Th. M. Van De; Boekel, C. C. A. A. Van; Sévaux, R. L. F. M. De; Jansen, A. C. A.; Gerritsma, K. W.

doi:10.1007/bf02193157

Cited by 5 publications

(3 citation statements)

References 41 publications

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“…Van de Waterbeemd described the transport in a three-compartment model with equal compartment volumes analytically. He extended the results for the initial distribution period to multiple bilayer systems and showed that the concentrations are proportional to the product of the transfer rate parameters of involved steps. , …”

Section: Numerical Simulations For Multi-bilayer Systemsmentioning

confidence: 93%

Section: Numerical Simulations For Multi-bilayer Systemsmentioning

confidence: 99%

“…He extended the results for the initial distribution period to multiple bilayer systems and showed that the concentrations are proportional to the product of the transfer rate parameters of involved steps. 2084,2085 Some attempts 67,2086 at description of the concentrationlipophilicity profiles were based on the use of a reduced time τ (where τ ) l o t, with l o being the transfer rate parameter for the membrane-water direction and t being time; see Figure 7 in section 2.1.4.6). The reduced time τ is proportional to the real time t only when l o is a constant, which holds for P , 1/B t , as follows from eqs 3 in section 2.1.3.4.…”

Section: Pure Transportmentioning

confidence: 99%

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Modeling Kinetics of Subcellular Disposition of Chemicals

Baláž

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Section: Numerical Simulations For Multi-bilayer Systemsmentioning

confidence: 93%

Section: Numerical Simulations For Multi-bilayer Systemsmentioning

confidence: 99%

Section: Pure Transportmentioning

confidence: 99%

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Modeling Kinetics of Subcellular Disposition of Chemicals

Baláž

2009

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Permeability—PAMPA

Avdeef

2012

Absorption and Drug Development

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Mechanistic analysis of solute transport in an in vitro physiological two‐phase dissolution apparatus

Mudie

Shi

Ping

et al. 2012

Biopharm & Drug Disp

110

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In vitro dissolution methodologies that adequately capture the oral bioperformance of solid dosage forms are critical tools needed to aid formulation development. Such methodologies must encompass important physiological parameters and be designed with drug properties in mind. Two-phase dissolution apparatuses, which contain an aqueous phase in which the drug dissolves (representing the dissolution/solubility component) and an organic phase into which the drug partitions (representing the absorption component), have the potential to provide meaningful predictions of in vivo oral bioperformance for some BCS II, and possibly some BCS IV drug products. Before such an apparatus can be evaluated properly, it is important to understand the kinetics of drug substance partitioning from the aqueous to the organic medium. A mass transport analysis was performed of the kinetics of partitioning of drug substance solutions from the aqueous to the organic phase of a two-phase dissolution apparatus. Major assumptions include pseudo-steady-state conditions, a dilute aqueous solution and diffusion-controlled transport. Input parameters can be measured or estimated a priori. This paper presents the theory and derivation of our analysis, compares it with a recent kinetic approach, and demonstrates its effectiveness in predicting in vitro partitioning profiles of three BCS II weak acids in four different in vitro two-phase dissolution apparatuses. Very importantly, the paper discusses how a two-phase apparatus can be scaled to reflect in vivo absorption kinetics and for which drug substances the two-phase dissolution systems may be appropriate tools for measuring oral bioperformance.

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Transport in QSAR IV

Cited by 5 publications

References 41 publications

Modeling Kinetics of Subcellular Disposition of Chemicals

Modeling Kinetics of Subcellular Disposition of Chemicals

Permeability—PAMPA

Mechanistic analysis of solute transport in an in vitro physiological two‐phase dissolution apparatus

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