University (later years) Round 1/6 Score 0

Kinetics from Data

Reconstruct a reaction model from noisy experiments, then audit its uncertainty.

Reactor laboratory

Acquisition Well-mixed batch Concentration / time C(t)

Well-mixed batch reaction, fixed temperature, exponential decay and positive concentrations.

Experimental record

Concept figure

C against t / s ln(C/Cref) against t / s

Taking a logarithm straightens ideal exponential decay. Cref is a fixed concentration unit used to make the logarithm dimensionless.

Live log-linear model

Least-squares fit Your model Measurements Uncertainty

Model controls

The maths

First-order decay: C(t) = C₀ exp(−kt). The fitted line is ln(C/Cref) = ln(C₀/Cref) − kt, with k in s⁻¹.

Initial-rate power law: rate = kCⁿ. Taking logarithms yields ln(rate/rref) = ln(kCrefⁿ/rref) + n ln(C/Cref).

Log-linear fitting minimises squared residuals after the logarithm, so multiplicative measurement errors are more natural than additive errors on the original scale.

For uncorrelated measurements, f = Π xᵢ^pᵢ and u(f) / |f| = √Σ[pᵢu(xᵢ)/xᵢ]².

The largest squared relative contribution dominates the combined standard uncertainty. First-order propagation assumes sufficiently small relative uncertainty.

Investigation completed!

You have fitted decay, inferred reaction order and audited measurement uncertainty.