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Related Concept Videos

Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

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 assumptions,...
What is Physical Chemistry?01:23

What is Physical Chemistry?

Physical chemistry is a branch of chemistry that studies the principles from physics underlying chemical reactions. It provides deep insights into the behaviors of molecules, the forces they experience, and their interactions and chemical reactions.The term "physical chemistry" was introduced by Mikhail Lomonosov in 1752. Since then, it has seen significant contributions from notable scientists such as Josiah Willard Gibbs, Wilhelm Ostwald, Jacobus Henricus van't Hoff, and Linus Pauling.Key...
Physiological Pharmacokinetic Models: Assumption with Protein Binding01:13

Physiological Pharmacokinetic Models: Assumption with Protein Binding

Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...

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Related Experiment Video

Updated: May 20, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Towards a generalized physicochemical framework.

Damien J Batstone1, Youri Amerlinck, George Ekama

  • 1Advanced Water Management Centre, The University of Queensland, Australia. damienb@awmc.uq.edu.au

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|July 26, 2012
PubMed
Summary
This summary is machine-generated.

Physicochemical processes significantly impact wastewater treatment plant performance, affecting biokinetic conversions. Integrating these abiotic factors into current models is crucial for accurate wastewater treatment design and optimization.

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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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Last Updated: May 20, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Area of Science:

  • Environmental Engineering
  • Water Treatment
  • Chemical Engineering

Background:

  • Wastewater treatment models traditionally focus on biokinetic conversions.
  • Abiotic processes like acid-base reactions, precipitation, and redox reactions fundamentally influence plant performance.
  • Existing models often omit crucial physicochemical corrections, limiting their accuracy.

Purpose of the Study:

  • To highlight the need for a physicochemical framework in wastewater treatment modeling.
  • To review available knowledge and fundamental approaches for integrating abiotic processes.
  • To guide research efforts towards developing comprehensive whole-plant process models.

Main Methods:

  • Literature review of physicochemical processes in wastewater.
  • Analysis of existing wastewater treatment models (e.g., International Water Association models).
  • Identification of knowledge gaps and research needs for physicochemical modeling.

Main Results:

  • Abiotic processes (ionization, precipitation, redox) significantly affect pH, gas transfer, and biokinetics.
  • Current biological process models are limited by the omission of non-ideal acid-base behavior and ion precipitation.
  • Fundamental chemistry is understood, but its application in wastewater treatment modeling requires further development.

Conclusions:

  • A dedicated physicochemical framework is essential for accurate whole-plant wastewater treatment modeling.
  • Further research, including experimental and model development, is needed to bridge the gap between fundamental chemistry and wastewater applications.
  • Integrating abiotic factors will enhance the design and optimization of wastewater treatment plants.