Publication date: 8th October 2020
In the emerging field of microbial based electrochemical devices much effort has been put into the analysis and benchmarking of the underlying mechanisms of those systems.[1] However, two major hinderances appear in the general analysis. Firstly, electrochemistry is a technique which always measures the processes of the whole electrode-solution interface. Hence, it is not capable to distinguish between different processes simultaneously taking place but will average the local current. On the biological side, organisms have complex reaction cascades and charge transfer mechanisms making it difficult to analyse the individual steps and the bottlenecks related to them. In both fields modelling evolved as a powerful tool to overcome those hinderances.[2-4] Nonetheless, combination of electrochemical modelling and modelling of biological systems can be a challenging task. Here we present the first steps of modelling cyanobacterial photoelectrodes by a combination of a kinetic photosynthesis model embedded in an electrochemical reaction-diffusion model. With this we try to fit and analyse experimentally observed electrochemical data to reveal the underlying charge transfer mechanism. After finding a precise and reliable description of the system we can use this model to predict the associated bottlenecks of the photoactive device. As the total flux determines the performance of electrochemical devices, these findings can be applied to genetic and device engineering to overcome the currently low power output. Additionally, the general structure how we face this problem cloud be applied to other biological and non-biological devices with sophisticated catalytic mechanisms.
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