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Graphene Microcapsule Arrays for Combinatorial Electron Microscopy and Spectroscopy in Liquids
Alexander Yulaev1,2,3, Hongxuan Guo1,3, Evgheni Strelcov1,3
1Center for Nanoscale Science and Technology, National Institute of Standards and Technology (NIST) , Gaithersburg, Maryland 20899, United States.
ACS Applied Materials & Interfaces
|April 28, 2017
Summary
Graphene microchannels enable high-throughput material characterization in liquids and gases. This novel platform allows detailed in situ studies and screening of various solutions and interfaces.
Area of Science:
- Materials Science
- Nanotechnology
- Analytical Chemistry
Background:
- Graphene's unique properties (atomic thickness, impermeability, strength) make it suitable for electron-transparent membranes.
- Conventional methods for in situ liquid/gas phase characterization face limitations in throughput and resolution.
Purpose of the Study:
- To introduce a novel sample platform utilizing graphene-capped microchannels for advanced material characterization.
- To enable high-throughput, high-resolution in situ studies of liquids, solutions, and immersed samples.
Main Methods:
- Fabrication of an array of thousands of isolated, high-aspect-ratio graphene-capped microchannels.
- Integration of global wide field of view with high-resolution local imaging capabilities.
- Demonstration using pure water, alkali halide solutions, electrochemical plating, and beam-induced crystal growth.
Main Results:
- Successful in situ study of liquid samples and interfaces through graphene membranes.
- Demonstration of combinatorial screening of solutions and immersed materials.
- Validation of spectroscopic characterization (Auger, X-ray fluorescence) through the graphene layer.
Conclusions:
- The developed graphene microchannel platform significantly enhances in situ material characterization capabilities.
- This high-throughput approach facilitates combinatorial screening and detailed analysis of liquid-phase phenomena.
- The platform opens new avenues for studying dynamic processes and interfaces in various scientific domains.

