FT-ITC Analysis

Multiple-experiment analysis

Move beyond individual fits. Unravel the underlying thermodynamics.

FT-ITC Analysis fits related experiments in one combined analysis, with global constraints and advanced temperature, salt and proton-linkage views when supported by the data.

The analysis result

One place to review the result across your experiments.

Move from individual fits to a result that makes the relationship between experiments legible. Review shared and experiment-specific parameters, fit quality and residuals without losing the underlying datasets.

FT-ITC Analysis result summary showing validity, solver settings, thermodynamic quantities and fitted experiment parameters
Review fit validity, thermodynamic quantities and experiment-level parameters in one result.
01

Member and shared parameters

Review experiment-specific values alongside any parameters shared across the result.

02

Temperature evaluation

Examine temperature-dependent behaviour and derived relationships such as ΔCp.

03

Traceable context

Keep the experiments, assumptions and model choices linked to the final result so you can see how each conclusion was reached.

04

Conditional advanced analyses

Investigate temperature dependence, salt effects and proton linkage when the model, experiment series and metadata support them.

Multiple-experiment fitting

Fit related experiments independently or as one global model.

Analyse multiple isotherms in one combined result. Keep every parameter experiment-specific, or introduce shared and supported temperature-dependent relationships for a connected global optimization.

01

Combine datasets

Bring at least two processed experiments into one analysis and one combined result.

02

Set meaningful constraints

Share selected parameters or connect them through physical relationships while retaining experiment-level values where needed.

03

Review the evidence

Read global parameters together with individual isotherms, residuals and the experiments contributing to the fit.

Advanced analyses

Ask more of your data.

Carefully designed experiment series can extend the interpretation beyond affinity and enthalpy while keeping the required conditions and assumptions explicit.

02

Salt dependence

Compare a series across ionic strengths to evaluate salt effects on binding and estimate the selected model's extrapolated dissociation constant at zero ionic strength.

03

Proton linkage

Compare titrations performed in buffers with different protonation enthalpies to investigate proton-linked effects on binding.

Further reading

Advanced interpretation starts with the literature.

Read the underlying methods and review the assumptions before drawing specialised conclusions.