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Molecular Structure and Modeling of Water–Air and Ice–Air Interfaces Monitored by Sum-Frequency Generation
[Image: see text] From a glass of water to glaciers in Antarctica, water–air and ice–air interfaces are abundant on Earth. Molecular-level structure and dynamics at these interfaces are key for understanding many chemical/physical/atmospheric processes including the slipperiness of ice surfaces, the...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181271/ https://www.ncbi.nlm.nih.gov/pubmed/32141737 http://dx.doi.org/10.1021/acs.chemrev.9b00512 |
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author | Tang, Fujie Ohto, Tatsuhiko Sun, Shumei Rouxel, Jérémy R. Imoto, Sho Backus, Ellen H. G. Mukamel, Shaul Bonn, Mischa Nagata, Yuki |
author_facet | Tang, Fujie Ohto, Tatsuhiko Sun, Shumei Rouxel, Jérémy R. Imoto, Sho Backus, Ellen H. G. Mukamel, Shaul Bonn, Mischa Nagata, Yuki |
author_sort | Tang, Fujie |
collection | PubMed |
description | [Image: see text] From a glass of water to glaciers in Antarctica, water–air and ice–air interfaces are abundant on Earth. Molecular-level structure and dynamics at these interfaces are key for understanding many chemical/physical/atmospheric processes including the slipperiness of ice surfaces, the surface tension of water, and evaporation/sublimation of water. Sum-frequency generation (SFG) spectroscopy is a powerful tool to probe the molecular-level structure of these interfaces because SFG can specifically probe the topmost interfacial water molecules separately from the bulk and is sensitive to molecular conformation. Nevertheless, experimental SFG has several limitations. For example, SFG cannot provide information on the depth of the interface and how the orientation of the molecules varies with distance from the surface. By combining the SFG spectroscopy with simulation techniques, one can directly compare the experimental data with the simulated SFG spectra, allowing us to unveil the molecular-level structure of water–air and ice–air interfaces. Here, we present an overview of the different simulation protocols available for SFG spectra calculations. We systematically compare the SFG spectra computed with different approaches, revealing the advantages and disadvantages of the different methods. Furthermore, we account for the findings through combined SFG experiments and simulations and provide future challenges for SFG experiments and simulations at different aqueous interfaces. |
format | Online Article Text |
id | pubmed-7181271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-71812712020-04-24 Molecular Structure and Modeling of Water–Air and Ice–Air Interfaces Monitored by Sum-Frequency Generation Tang, Fujie Ohto, Tatsuhiko Sun, Shumei Rouxel, Jérémy R. Imoto, Sho Backus, Ellen H. G. Mukamel, Shaul Bonn, Mischa Nagata, Yuki Chem Rev [Image: see text] From a glass of water to glaciers in Antarctica, water–air and ice–air interfaces are abundant on Earth. Molecular-level structure and dynamics at these interfaces are key for understanding many chemical/physical/atmospheric processes including the slipperiness of ice surfaces, the surface tension of water, and evaporation/sublimation of water. Sum-frequency generation (SFG) spectroscopy is a powerful tool to probe the molecular-level structure of these interfaces because SFG can specifically probe the topmost interfacial water molecules separately from the bulk and is sensitive to molecular conformation. Nevertheless, experimental SFG has several limitations. For example, SFG cannot provide information on the depth of the interface and how the orientation of the molecules varies with distance from the surface. By combining the SFG spectroscopy with simulation techniques, one can directly compare the experimental data with the simulated SFG spectra, allowing us to unveil the molecular-level structure of water–air and ice–air interfaces. Here, we present an overview of the different simulation protocols available for SFG spectra calculations. We systematically compare the SFG spectra computed with different approaches, revealing the advantages and disadvantages of the different methods. Furthermore, we account for the findings through combined SFG experiments and simulations and provide future challenges for SFG experiments and simulations at different aqueous interfaces. American Chemical Society 2020-03-06 2020-04-22 /pmc/articles/PMC7181271/ /pubmed/32141737 http://dx.doi.org/10.1021/acs.chemrev.9b00512 Text en Copyright © 2020 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
spellingShingle | Tang, Fujie Ohto, Tatsuhiko Sun, Shumei Rouxel, Jérémy R. Imoto, Sho Backus, Ellen H. G. Mukamel, Shaul Bonn, Mischa Nagata, Yuki Molecular Structure and Modeling of Water–Air and Ice–Air Interfaces Monitored by Sum-Frequency Generation |
title | Molecular Structure and Modeling of Water–Air
and Ice–Air Interfaces Monitored by Sum-Frequency Generation |
title_full | Molecular Structure and Modeling of Water–Air
and Ice–Air Interfaces Monitored by Sum-Frequency Generation |
title_fullStr | Molecular Structure and Modeling of Water–Air
and Ice–Air Interfaces Monitored by Sum-Frequency Generation |
title_full_unstemmed | Molecular Structure and Modeling of Water–Air
and Ice–Air Interfaces Monitored by Sum-Frequency Generation |
title_short | Molecular Structure and Modeling of Water–Air
and Ice–Air Interfaces Monitored by Sum-Frequency Generation |
title_sort | molecular structure and modeling of water–air
and ice–air interfaces monitored by sum-frequency generation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181271/ https://www.ncbi.nlm.nih.gov/pubmed/32141737 http://dx.doi.org/10.1021/acs.chemrev.9b00512 |
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