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Related Concept Videos

Continuous Charge Distributions01:17

Continuous Charge Distributions

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Imagine a bucket of water. It contains many molecules, of the order of 1026 molecules. Thus, although it contains discrete elements (molecules) at the microscopic level, macroscopically, it can be considered continuous. Small volume elements of water, infinitesimal compared to the bulk of the bucket's volume, still contain many molecules. Under this framework, quantized matter is approximated as continuous for practical purposes.
The electric charge can also be subjected to an analogical...
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The Power Flow Problem and Solution01:26

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Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the power flow program computes...
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Charge and Current01:14

Charge and Current

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Electric charge is the most fundamental quantity in an electric circuit. The effects of electric charge are encountered daily, such as when a wool sweater sticks to the human body or when a person receives a shock while walking on a carpet.
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Energy Associated With a Charge Distribution01:21

Energy Associated With a Charge Distribution

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The work done to bring a charge through a distance r is given by the potential difference between the initial and the final position. To assemble a collection of point charges, the total work done can be expressed in terms of the product of each pair of charges divided by their separation distance, defined with respect to a suitable origin. Solving this expression gives the energy stored in a point charge distribution.
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Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

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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...
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Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

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The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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Updated: Jan 16, 2026

Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

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Revelations from charge-balance modeling.

Troels Ring1, Stephen Edward Rees2, Sebastian Frische1

  • 1Department of Biomedicine, Aarhus University, Aarhus C, Denmark.

Scandinavian Journal of Clinical and Laboratory Investigation
|September 30, 2025
PubMed
Summary
This summary is machine-generated.

Charge-balance modeling using physical chemistry principles can determine fluid composition. This approach quantifies buffer concentrations and titratable acidity in biological fluids like fibroblasts and urine.

Keywords:
Acid-base equilibriumbufferscomputer simulationmodels, biologicalwater-electrolyte balance

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Area of Science:

  • Biophysical Chemistry
  • Physiological Chemistry
  • Biochemistry

Background:

  • Biological fluids maintain charge balance via strong ions.
  • Electroneutrality, mass conservation, and dissociation rules govern fluid charge.
  • Physical chemistry principles are fundamental to understanding biological fluid composition.

Purpose of the Study:

  • To apply charge-balance modeling to analyze biological fluid composition.
  • To quantitatively assess buffer concentrations and strong ion differences in fibroblasts.
  • To simplify the determination of titratable acidity in urine.

Main Methods:

  • Charge-balance modeling based on physical chemistry.
  • Analysis of pH differences and buffer capacities in fibroblasts.
  • Modeling urine as a phosphate solution with high ionic strength.

Main Results:

  • Quantitative assessment of buffer concentrations and strong ion differences in fibroblasts is achievable.
  • Titratable acidity in urine can be determined using measured SID and total phosphate concentration.
  • Accurate dissociation constants or pH values are not required for urine analysis.

Conclusions:

  • Charge-balance modeling offers a robust method for analyzing biological fluid composition.
  • This approach simplifies complex physiological measurements.
  • Charge-balance modeling can reveal fundamental details of biological systems.