Coincident measurement of photo-ion circular dichroism and photo-electron circular dichroism in 1-phenylethylamine

Literature Information

Publication Date 2022-06-03
DOI 10.1039/D2CP01418A
Impact Factor 3.676
Authors

Carl Stefan Lehmann, Demian Botros, Karl-Michael Weitzel


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Abstract

Here, we report the coincident measurement of PICD and PECD effects in 1-phenylethylamine upon multiphoton ionization. Both photo-ion circular dichroism (PICD) and photo-electron circular dichroism (PECD) are methods to distinguish enantiomers. In PICD, a difference in total ion yields upon multiphoton ionization with circular polarized light is measured, whereas, in PECD, circular dichroism is observed in the angular distribution of the photoelectrons. Here, we report on our continuous effort to measure the PICD and PECD effects in coincidence, i.e. simultaneously under the same measurement conditions using a home-built photoion–photoelectron coincidence spectrometer. Pure samples of R-(+)-1-phenylethylamine and S-(−)-1-phenylethylamine have been photo-ionized using a femtosecond laser operated at 394 nm.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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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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