Which strategy for molecular probe design? An answer from the integration of spectroscopy and QM modeling
Literature Information
Alberto Marini, Aurora Muñoz-Losa, Benedetta Mennucci
With this study we show that the maturity reached by quantum-mechanical (QM) modeling has allowed a new analytical approach to the design of molecular probes. In this approach, the strategy is to integrate suited computational tools with multi-spectroscopic measurements to identify specific signals for the characterization of the molecular probe with respect to the perturbation used and the environmental conditions applied. The application of the strategy to a typical optical probe (2-acetylanthracene) has allowed the identification of specific IR and NMR signals for the characterization of the conformational states in both solid and solution states. This analysis has been successively extended to the investigation of specific optical signals. In particular we have shown that the introduction of a substituent in specific positions of the aromatic structure induces a different perturbation in the different excited states of the precursor anthracene with consequent differentiations of the states with respect to their solvent sensitivity (both in terms of bulk and specific effects). Finally, the integration of simulated and experimental emission spectra has revealed a possible isomerization in the excited state with resulting change of the conformational state in the absorbing and the emitting species.
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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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