| Literature DB >> 28121153 |
Hongxuan Guo1,2, Evgheni Strelcov1,2, Alexander Yulaev1,2,3, Jian Wang4, Narayana Appathurai4, Stephen Urquhart5, John Vinson6, Subin Sahu1,2,7, Michael Zwolak1, Andrei Kolmakov1.
Abstract
Photoelectron emission microscopy (PEEM) is a powerful tool to spectroscopically image dynamic surface processes at the nanoscale, but it is traditionally limited to ultrahigh or moderate vacuum conditions. Here, we develop a novel graphene-capped multichannel array sample platform that extends the capabilities of photoelectron spectromicroscopy to routine liquid and atmospheric pressure studies with standard PEEM setups. Using this platform, we show that graphene has only a minor influence on the electronic structure of water in the first few layers and thus will allow for the examination of minimally perturbed aqueous-phase interfacial dynamics. Analogous to microarray screening technology in biomedical research, our platform is highly suitable for applications in tandem with large-scale data mining, pattern recognition, and combinatorial methods for spectro-temporal and spatiotemporal analyses at solid-liquid interfaces. Applying Bayesian linear unmixing algorithm to X-ray induced water radiolysis process, we were able to discriminate between different radiolysis scenarios and observe a metastable "wetting" intermediate water layer during the late stages of bubble formation.Entities:
Keywords: PEEM; XAS; data mining; graphene; liquids
Year: 2017 PMID: 28121153 PMCID: PMC5436695 DOI: 10.1021/acs.nanolett.6b04460
Source DB: PubMed Journal: Nano Lett ISSN: 1530-6984 Impact factor: 11.189