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Colloidal precipitates

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The high insolubility of some precipitates can result in an unfavorable relative supersaturation. This can lead to colloidal particles with a large surface-to-mass ratio, where adsorption is promoted. For instance, in the precipitation of silver chloride, silver ions are adsorbed on the surface of the colloidal particles, forming a primary layer. This layer attracts ions of opposite charge (such as nitrate ions), forming a diffuse secondary layer of adsorbed ions. This electric double layer...
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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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In certain chromatographic separations, solutes transfer between the mobile phase and the stationary phase via sorption, which typically refers to the process of adsorption. For many chromatographic systems, the sorption process often depends on the polarity of the compounds—an expression of the overall dipole moment within the molecule. During the separation process, there is competition between the solute and solvent for adsorption to the stationary phase. Highly polar compounds and...
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In precipitation gravimetry, the precipitating agent should react specifically or selectively with the analyte. While a specific reagent reacts with the analyte alone, a selective reagent can react with a limited number of chemical species.
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Children at play often make suspensions such as mixtures of mud and water, flour and water, or a suspension of solid pigments in water known as tempera paint. These suspensions are heterogeneous mixtures composed of relatively large particles that are visible to the naked eye or can be seen with a magnifying glass. They are cloudy, and the suspended particles settle out after mixing. On the other hand, a solution is a homogeneous mixture in which no settling occurs and in which the dissolved...
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A systematic approach for estimating colloidal particle adsorption model parameters.

Oliver Lorenz-Cristea1, Angela Wiebe1, Judith Thoma1

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Summary

A new strategy systematically estimates parameters for the Colloidal Particle Adsorption (CPA) model, crucial for biopharmaceutical downstream process development. This method reduces experiments needed for accurate ion-exchange chromatography modeling.

Keywords:
Colloidal Particle Adsorption modelMechanistic chromatography modelParameter estimationProtein purificationSensitivity analysisSurrogate-assisted global optimization

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Area of Science:

  • Biochemical Engineering
  • Chromatography
  • Process Development

Background:

  • Accurate ion-exchange chromatography (IEX) model parameters are vital for biopharmaceutical downstream process development.
  • Current model calibration methods face challenges due to model limitations and parameter correlations, causing inefficiencies.
  • A systematic approach is needed for parameter estimation in the emerging Colloidal Particle Adsorption (CPA) model.

Purpose of the Study:

  • To present a novel, systematic strategy for estimating CPA model parameters.
  • To improve the efficiency and accuracy of model-assisted biopharmaceutical downstream process development.
  • To enable prediction of elution behavior across various loading conditions and elution modes.

Main Methods:

  • Performed parameter sensitivity analysis to identify key estimation levers.
  • Developed a minimal experimental dataset strategy using breakthrough and gradient elution experiments.
  • Utilized a surrogate-assisted global-optimization tool and a customized objective function for efficient parameter fitting.
  • Validated the approach on three model proteins (50, 150, 200 kDa) using strong cation exchange chromatography.

Main Results:

  • Identified key parameters and their correlation structure for CPA model estimation.
  • Demonstrated successful prediction of elution behavior for low and high load densities in gradient and step elution.
  • Established a minimal experimental design requiring only one breakthrough, one high-load, and three low-load gradient elution experiments.
  • Achieved high-throughput CPA model calibration for single components.

Conclusions:

  • The developed strategy offers significant improvements for CPA model parameter estimation.
  • The validated CPA models accurately describe various experimental conditions, including non-binding pulses, gradient/isocratic elution, and breakthrough.
  • This approach enhances the efficiency of model-assisted downstream process development for biopharmaceuticals.