How is drug release dialysis calculated?
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The method described here allows real time detection of the drug release rate, in contrast to common dialysis analysis. | |
24 Citations | For the routine clinical measurement of unbound drug concentrations, the ultrafiltration membrane at room temperature appears to be sufficiently accurate and less time-consuming than equilibrium dialysis. |
Linear extrapolation from plasma drug concentrations measured 6-12 h or more after dialysis may offer a solution to this problem. | |
95 Citations | Our results indicate that this release assay is a better predictor of in vivo drug transfer than dialysis-based systems. |
7 Citations | The proposed method should be applicable where the drug is substantially bound to the dialysis membrane. |
19 Citations | Thus, our formulas provide an integrative description of the relationships between dialysis efficiency indices and operational dialysis parameters that is valid for all modalities and schedules of dialysis. |
Related Questions
How to write paper for mathematical model of drug release kinetics?5 answersWriting a paper on the mathematical modeling of drug release kinetics involves understanding the diverse mechanisms and mathematical approaches discussed in the literature. Various studies emphasize the importance of incorporating mathematical models to describe controlled release systems. These models often focus on diffusion phenomena, involving molecular transport through polymers due to concentration gradients. Mathematical simulations using software like MATLAB can help characterize drug release rates from different geometries of polymeric matrix devices, highlighting factors influencing drug release profiles. Additionally, iterative procedures based on finite difference methods have been proposed to solve diffusion equations with fractional-order derivatives, ensuring stability and convergence in modeling drug delivery systems. By identifying appropriate mathematical conditions corresponding to physicochemical phenomena, researchers can enhance the understanding and prediction of drug release behaviors.
What are the mathematiczl models used in hemodialysis?5 answersMathematical models are used in hemodialysis to optimize therapy and predict outcomes. Boamah et al. developed a comprehensive time-dependent mathematical model to examine the dynamic exchange of solutes, blood pH, and H+ ions in a prototype hemodialyzer. Pietribiasi et al. implemented a mathematical model to assess the kinetics of bicarbonate and other buffers during hemodialysis, considering acid-base equilibrium and respiratory control. Abdelrasoul et al. developed a mathematical model to predict the release of inflammatory biomarkers during hemodialysis based on membrane properties and operating conditions. Fasano et al. studied the dynamics of solutes through the porous fiber membrane in a hollow fiber dialyzer using a mathematical model. Bazaev et al. suggested a mathematical model for a biotechnological system of hemodialysis to normalize concentrations of electrolytes and substances.
What are the methods used to determine diffusion coefficients of drugs?4 answersDiffusion coefficients of drugs can be determined using various methods. One method involves using a traditional Supercritical Fluid Chromatography (SFC) instrument to separate the solute from the sample solvent plug, followed by measuring band broadening in a long capillary to determine the diffusion coefficient. Another approach involves calculating the diffusion coefficients based on stable conformations of small molecules obtained through molecular modeling and using the Stokes-Einstein equation. A simple and reliable method involves time-resolved concentration measurements by UV-visible spectroscopy in an unstirred aqueous environment. The diffusive gradient in thin film technique can also be used, where the diffusion coefficient is measured using the diffusion cell method or the slice stacking method. Additionally, a new concept involves using the reaction of a redox-active indicator substance confined in a nanoparticle to determine the diffusion coefficient of ions.
How can i measure drug release from thermosensitive hydrogel?5 answersDrug release from thermosensitive hydrogels can be measured using various methods. One approach is to use in vitro magnetic resonance imaging (MRI) to monitor the release kinetics and spatiotemporal distribution of the drug. Another method involves utilizing temperature-responsive hydrogels that change their thickness and mesh size with temperature. By measuring the drug release at different temperatures, the release behavior of the hydrogel can be characterized. Additionally, the release rate of the drug can be influenced by factors such as pH and the composition of the hydrogel. By adjusting these parameters, the drug release can be controlled and optimized. Furthermore, the use of triblock copolymers in the hydrogel formulation can enhance the stability and sustained release of the drug. Overall, a combination of in vitro and in vivo techniques can be employed to measure drug release from thermosensitive hydrogels and optimize their performance for sustained drug delivery.
Can you show me step by step calculations for drug release for this paper https://www.sciencedirect.com/science/article/pii/S0378517316302320?5 answersStep 1: The drug release process can be simulated using a phase-field model, which accurately predicts the release profile and can be applied to different materials. Another study presents a method for predicting drug-release profiles based on physical mechanisms, incorporating the effects of drug concentration and flow rates. Additionally, a multi-layer diffusion model is proposed for estimating the release time of drug-filled capsules, providing useful indicators without explicit calculation of the full transient solution. Furthermore, a paper discusses the fabrication of thermosensitive and magnetic response drug release systems, highlighting their step-by-step release behaviors and environmental responsiveness. Both approaches provide computationally-cheap and useful tools for quantifying the release time of different composite microcapsule configurations.
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Context_1: Li et al.
Context_2: Abbasnezhad et al.
Context_3: Carr and Pontrelli
Context_4: Lv et al.
Context_5: Carr and Pontrelli
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The drug release process can be simulated using a phase-field model, which accurately predicts the release profile and can be applied to different materials. Another study presents a method for predicting drug-release profiles based on physical mechanisms, incorporating the effects of drug concentration and flow rates. Additionally, a multi-layer diffusion model is proposed for estimating the release time of drug-filled capsules, providing useful indicators without explicit calculation of the full transient solution. Furthermore, a paper discusses the fabrication of thermosensitive and magnetic response drug release systems, highlighting their step-by-step release behaviors and environmental responsiveness. Both approaches provide computationally-cheap and useful tools for quantifying the release time of different composite microcapsule configurations.
How to calculate the drug entrapment efficiency of a drug delivery system?5 answersDrug entrapment efficiency of a drug delivery system can be calculated by measuring the amount of active drug that is entrapped in the system. This can be done using various methods such as spectrophotometry or chromatography. In the case of microspheres, the drug entrapment efficiency can be determined by analyzing the drug content in the microspheres and comparing it to the initial drug loading. Factors such as formulation variables and process variables can affect the drug entrapment efficiency of microspheres. For example, optimizing the formulation and process variables can enhance the loading efficiency of the drug and minimize wastage. In the case of ethosomes, the entrapment efficiency can be determined by measuring the amount of active compound entrapped in the ethosome vesicles using spectrophotometry. Overall, understanding the effect of various variables on drug entrapment efficiency is crucial for designing an effective drug delivery system.