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Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
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Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance01:07

Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance

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Drug transporters are critical in drug absorption, distribution, and excretion processes. They should be included in physiological-based pharmacokinetic (PBPK) models, which help predict human drug disposition. However, predicting this is challenging during drug development, especially when liver transport is involved. However, with a realistic representation of body transport processes, an accurate model may be possible.
A recent model describes pravastatin's hepatobiliary excretion,...
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Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

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Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
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Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

701
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
701
Measurement of Bioavailability: Pharmacokinetic Methods01:30

Measurement of Bioavailability: Pharmacokinetic Methods

481
Pharmacokinetics is a vital branch of pharmacology that examines how drugs are absorbed, distributed, metabolized, and excreted by the body. Two key methodologies in pharmacokinetics are plasma drug concentration studies and urinary drug excretion analyses, both of which provide critical insights into a drug's therapeutic efficacy and bioavailability.Plasma Drug Concentration-Time StudiesPlasma drug concentration-time studies involve analyzing blood samples at specific intervals to quantify...
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Three-Compartment Open Model01:06

Three-Compartment Open Model

1.2K
The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
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Updated: Apr 19, 2026

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
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Evaluating alternate biokinetic models for trace pollutant cometabolism.

Li Liu1, Philip J Binning, Barth F Smets

  • 1Department of Environmental Engineering, Technical, University of Denmark , Bygningstorvet 115, 2800 Kgs.Lyngby, Denmark.

Environmental Science & Technology
|December 30, 2014
PubMed
Summary

Mathematical models for cometabolic bioremediation are crucial for understanding microbial reactions. However, current models struggle to fit diverse experimental data, necessitating further development for reliable simulation.

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Area of Science:

  • Environmental Microbiology
  • Bioremediation Engineering
  • Mathematical Modeling

Background:

  • Cometabolic biodegradation kinetics are vital for designing effective bioremediation strategies.
  • Existing mathematical models require systematic evaluation across various operational conditions.
  • Understanding microbial reactions in bioremediation is key to environmental cleanup.

Purpose of the Study:

  • To systematically evaluate the performance of five different mathematical models for cometabolic biodegradation kinetics.
  • To assess model fit, parameter identifiability, and complexity for simulated experimental data.
  • To determine the suitability of current models for simulating diverse bioremediation scenarios.

Main Methods:

  • Simulated batch experiments were conducted using a complex model structure with literature-based parameters and added experimental error.
  • Five kinetic models were assessed: first-order, Michaelis-Menten, reductant, competition, and combined models.
  • Model evaluation criteria included data fitting, parameter identifiability (colinearity analysis), and information criteria (Bayesian and Akaike).

Main Results:

  • No single model demonstrated consistent good fit across all tested experimental conditions.
  • The reductant model performed best but required highly variable parameter sets for different simulations.
  • Parameter non-uniqueness, likely due to parameter correlation, was a significant issue.

Conclusions:

  • Current mathematical models for cometabolic biodegradation are insufficient for reliably simulating diverse experimental and operational data.
  • Further model development is required to improve accuracy and parameter identifiability in bioremediation applications.
  • The study highlights the need for more robust kinetic models to advance in situ and in-reactor bioremediation technologies.