Flow analysis deconvolution for kinetic information reconstruction

In this work it is proposed a methodology for the kinetic information reconstruction based on the definition of a macrotransport transfer function and a numerical regularisation method. In continuous flowing systems there could be a discrepancy, for fast enough processes, between the read measure in the detector and what actually happens in the chemical reactor. This difference is a consequence of the solute dispersion along the tube. To solve this problem we define a macrotransport transfer function from the Aris–Taylor dispersion theory which enables us a direct interpretation of the experimental data (convolution) or signal reconstruction (deconvolution). The methodology proposed consists in data processing using Tikhonov regularisation method in combination with a specific experimental procedure which allows to characterize the dispersion of the solute along the flowing system. Preliminary results for the determination of the specific area of a gas–liquid reactor are shown analysing the reaction data between the ozone and the Blue Indigotrisulfonate.