RESUMEN
Artificial photosynthesis is a major scientific endeavor aimed at converting solar power into a chemical fuel as a viable approach to sustainable energy production and storage. Photosynthesis requires three fundamental actions performed in order; light harvesting, charge-separation and redox catalysis. These actions span different timescales and require the integration of functional architectures developed in different fields of study. The development of artificial photosynthetic devices is therefore inherently complex and requires an interdisciplinary approach. Supramolecular chemistry has evolved to a mature scientific field in which programmed molecular components form larger functional structures by self-assembly processes. Supramolecular chemistry could provide important tools in preparing, integrating and optimizing artificial photosynthetic devices as it allows precise control over molecular components within such a device. This is illustrated in this perspective by discussing state-of-the-art devices and the current limiting factors - such as recombination and low stability of reactive intermediates - and providing exemplary supramolecular approaches to alleviate some of those problems. Inspiring supramolecular solutions such as those discussed herein will incite expansion of the supramolecular toolbox, which eventually may be needed for the development of applied artificial photosynthesis.
RESUMEN
Proteorhodopsin is a light-driven proton pumping membrane protein related to bacteriorhodopsin. It contains an all-trans retinal A1 chromophore covalently bound to a lysine residue via a protonated Schiff base. In this study, we exploited density functional theory (DFT) calculations to investigate the retinal binding pocket in the dark state and after mimicking photoisomerization. The model of the binding pocket is constructed incrementally by adding the residues near the retinal that are necessary to ensure a stable protonated Schiff base. The presence of a few water molecules near the Schiff base turns out to be an essential feature of the model. The absorption properties are then studied using time-dependent DFT (TDDFT) and compared to experimental data to further validate the structural model and to assess the accuracy of the computational setting. It is shown that TDDFT is able to reproduce the main absorption peak accurately and to quantitatively determine the spectral shift induced by substituting the native all-trans retinal A1 chromophore with different retinal analogues. Moreover, ab initio molecular dynamics simulations are performed to investigate the vibrational spectra of our models before and after isomerization. Specific differences in the vibrational spectra are identified that provide further insight into experimental FTIR difference spectra.