Adsorption Kinetics Model

Adsorption Kinetics Model MCP Connector for Claude

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Analyze adsorption kinetics using pseudo-order and diffusion models.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for modeling the rate of adsorption on surfaces. It allows AI agents to determine if a process follows Pseudo-First-Order or Pseudo-Second-Order kinetics using analyze_pseudo_models. It also evaluates the rate-limiting step through analyze_diffusion_mechanism to distinguish between external and internal diffusion. Users can calculate specific capacity milestones with calculate_adsorption_efficiency and perform a full comparative analysis of all kinetic parameters using compare_kinetic_fits.

adsorptionkineticsdiffusionsurface-sciencechemical-engineering

4 tools expose this connector's capabilities to your AI agent.

analyze_diffusion_mechanism

Evaluates whether the rate-limiting step is intraparticle diffusion

calculate_adsorption_efficiency

Determines how much of the total capacity has been reached at a specific time

analyze_pseudo_models

Determines if the adsorption process follows Pseudo-First-Order or Pseudo-Second-Order kinetics

compare_kinetic_fits

Provides a comprehensive comparison of all calculated kinetic parameters

See how to talk to your AI agent using Adsorption Kinetics Model.

Determine if my adsorption data follows pseudo-first-order or pseudo-second-order kinetics: [{'time': 0, 'concentration': 0}, {'time': 10, 'concentration': 5}, {'time': 20, 'concentration': 8}] with surface area 50 and equilibrium capacity 15.

The adsorption process follows Pseudo-Second-Order kinetics with a rate constant of 0.045 and a correlation coefficient of 0.98.

Check the adsorption efficiency at time 15 for this data: [{'time': 0, 'concentration': 0}, {'time': 10, 'concentration': 5}, {'time': 20, 'concentration': 8}] with an equilibrium capacity of 15.

At time 15, the capacity reached is 6.5, which is 43.3% of the total equilibrium capacity.

Analyze the diffusion mechanism for this dataset: [{'time': 0, 'concentration': 0}, {'time': 5, 'concentration': 2}, {'time': 10, 'concentration': 5}] with surface area 100.

The mechanism is controlled by intraparticle diffusion, with a significant intercept indicating that external diffusion also contributes to the process.

You can use `analyze_pseudo_models` to calculate the correlation coefficients for both models, then use `compare_kinetic_fits` to identify the best fit based on those results.

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