The effect of size on the optical properties of guanine nanostructures: a femtosecond to nanosecond study
Literature Information
Ying Hua, Pascale Changenet-Barret, Thomas Gustavsson, Dimitra Markovitsi
G-quadruplexes, whose building blocks are guanine tetrads, encounter increasing interest with respect to their potential applications in the field of molecular electronics. Here we study how the size of these nanostructures affects their fluorescence. We compare the properties of thymine capped G-quadruplexes, formed by association of four single DNA strands d(TG3T), d(TG4T) and d(TG5T) and stabilized by K+ ions. We show that an increase in the number of tetrads induces a narrowing of the fluorescence spectrum, an increase in the fluorescence quantum yield, a lengthening of fluorescence lifetime and a decrease of the anisotropy detected on the femtosecond time-scale. The in-plane depolarization of the fluorescence, occurring in less than 1 ps, is attributed to population of Franck–Condon exciton states and ultrafast intraband scattering, leading to energy transfer. The persistence of excitons with partial J-aggregate character on the picosecond time-scale increases with the G-quadruplex size, which enhances the stiffness of the system.
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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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