Parameter precision in global analysis of time resolved spectra

By means of simulation parameter estimation in global analysis of time resolved spectra was studied. Kinetic, spectral as well as spectrotemporal models were used to describe a system consisting of a mixture of components whose concentrations change with time. The benefits of the spectrotemporal model were found to depend upon the amount of overlap between the time and wavelength properties of the components, and thus where largest when this overlap is small. If was found that an analytical description of a noisy instrument response improves the precision of rate constants estimated by iterative reconvolution.