Extending charge separation lifetime and distance in patterned dye-sensitized SnO2–TiO2 μm-thin films
Literature Information
Valeria Saavedra Becerril, Elin Sundin, Mokhtar Mapar, Maria Abrahamsson
A simple method for the preparation of patterned dye-sensitized SnO2–TiO2 thin films, designed to prolong the lifetime of the interfacial charge separated state is presented. Using microfluidic technology, the thin films were sensitized with the organic sensitizer D35 such that they contain SnO2–TiO2 areas with dye and SnO2 dye-free areas at which injected electrons can be accumulated. Single wavelength transient absorption spectroscopy confirmed significantly extended charge separation lifetime at the dye-semiconductor interface. Sufficiently high density of injected electrons results in substantial decrease of charge recombination rate constants (kcr); a factor of ∼50 compared to dye-sensitized TiO2 thin films and a factor of ∼2000 compared to dye-sensitized SnO2 thin films. Furthermore, the potential of this approach was confirmed by photoinduced conduction band mediated electron transfer from the dye to a model electron acceptor, Co protoporphyrin IX, which was adsorbed to the SnO2-only regions.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.











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