Imperial College London
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Professor David W. McComb

Faculty of Engineering, Department of Materials

Adjunct Professor
 
 
 
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Contact

 

+44 (0)20 7594 6750d.mccomb Website

 
 
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Location

 

Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Colby:2023:10.1016/j.ultramic.2023.113688,
author = {Colby, R and Williams, REA and Carpenter, DL and Bagués, N and Ford, BR and McComb, DW},
doi = {10.1016/j.ultramic.2023.113688},
journal = {Ultramicroscopy},
title = {Identifying and imaging polymer functionality at high spatial resolution with core-loss EELS.},
url = {http://dx.doi.org/10.1016/j.ultramic.2023.113688},
volume = {246},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Electron energy loss spectroscopy (EELS) is a proven tool for probing materials chemistry at high spatial resolution. Core-loss EELS fine structure should allow measurement of local polymer chemistry. For organic materials, sensitivity to radiolysis is expected to limit the resolution achievable with EELS: but core-loss EELS has proven difficult at any resolution, yielding inconsistent spectra that compare unfavorably with theoretically analogous x-ray absorption spectra. Many of the previously identified shortcomings should not be limiting factors on modern equipment. This study establishes that EELS can generate identifiable carbon K-edge spectra for a range of common polymer types and chemistry, and demonstrates fine structure features matching prior x-ray absorption spectra. EELS fine structure features broaden intuitively with the instrument's energy resolution, and beam-induced features are readily differentiated by collecting spectra at a series of doses. The results are demonstrated with spectrum images of a model polymer blend, and used to estimate practical pixel sizes that can be used for mapping core-loss EELS as a function of electron dose.
AU  - Colby,R
AU  - Williams,REA
AU  - Carpenter,DL
AU  - Bagués,N
AU  - Ford,BR
AU  - McComb,DW
DO  - 10.1016/j.ultramic.2023.113688
PY  - 2023///
TI  - Identifying and imaging polymer functionality at high spatial resolution with core-loss EELS.
T2  - Ultramicroscopy
UR  - http://dx.doi.org/10.1016/j.ultramic.2023.113688
UR  - https://www.ncbi.nlm.nih.gov/pubmed/36701963
VL  - 246
ER  -
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