In a recent paper we described in detail how methods of Bayesian inference can be used to solve the inverse problem of parameter recovery 1 from voltammetric data. We illustrated how these methods yield not only a point estimate for each parameter of interest, but also a measure of our confidence in that estimate. Full details of the approach that we adopted, including the algorithms used can be found in, 1 so that here we simply give a brief outline of the methods.