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Related Concept Videos

Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

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The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
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The Small x Assumption02:20

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If a reaction has a small equilibrium constant, the equilibrium position favors the reactants. In such reactions, a negligible change in concentration may occur if the initial concentrations of reactants are high and the Kc value is small. In such circumstances, the equilibrium concentration is approximately equal to its initial concentration.  This estimation can be used to simplify the equilibrium calculations by assuming that some equilibrium concentrations are equal to the initial...
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Calculating Equilibrium Concentrations02:05

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Being able to calculate equilibrium concentrations is essential to many areas of science and technology—for example, in the formulation and dosing of pharmaceutical products. After a drug is ingested or injected, it is typically involved in several chemical equilibria that affect its ultimate concentration in the body system of interest. Knowledge of the quantitative aspects of these equilibria is required to compute a dosage amount that will solicit the desired therapeutic effect.
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Determining Order of Reaction02:53

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Rate laws describe the relationship between the rate of a chemical reaction and the concentration of its reactants. In a rate law, the rate constant k and the reaction orders are determined experimentally by observing how the rate of reaction changes as the concentrations of the reactants are changed. A common experimental approach to the determination of rate laws is the method of initial rates. This method involves measuring reaction rates for multiple experimental trials carried out using...
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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
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Calculating the Equilibrium Constant02:46

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The equilibrium constant for a reaction is calculated from the equilibrium concentrations (or pressures) of its reactants and products. If these concentrations are known, the calculation simply involves their substitution into the Kc expression.
For example, gaseous nitrogen dioxide forms dinitrogen tetroxide according to this equation:
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Related Experiment Video

Updated: Dec 29, 2025

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
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Confidently identifying the correct K value using the ΔK method: When does K = 2?

Catherine I Cullingham1, Joshua M Miller2, Rhiannon M Peery2

  • 1Department of Biology, Carleton University, Ottawa, ON, Canada.

Molecular Ecology
|February 9, 2020
PubMed
Summary
This summary is machine-generated.

The ΔK method often incorrectly identifies two populations, even with high migration rates. Researchers should use this genetic data analysis tool cautiously and report connectivity estimates.

Keywords:
F STgenetic structuremigration ratepopulation structureΔK

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Area of Science:

  • Population genetics
  • Conservation genetics
  • Wildlife management

Background:

  • Genetic data is crucial for defining populations in wildlife conservation.
  • The ΔK method is widely used to infer the number of populations (K).
  • Previous studies indicated a bias towards K=2 when using the ΔK method.

Purpose of the Study:

  • To investigate the limitations of the ΔK method in population genetics.
  • To evaluate the accuracy of ΔK under varying migration scenarios.
  • To understand the relationship between ΔK values and population divergence.

Main Methods:

  • Simulations of one, two, and three populations with varying migration rates.
  • Analysis using model likelihood and the ΔK statistic.
  • Review of empirical genetic data.

Main Results:

  • The ΔK method and mean probability plots fail to accurately determine K when migration rates exceed 0.005.
  • A significant bias towards selecting K=2 was observed with the ΔK method.
  • The magnitude of the ΔK statistic correlates with the level of genetic divergence between populations.

Conclusions:

  • The ΔK method should be used with caution in population genetics studies.
  • Researchers must report ΔK values and population connectivity estimates for proper interpretation.
  • Accurate assessment of genetic structure is vital for effective wildlife conservation and management.