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Hyperspectral infrared nanoimaging of organic samples based on Fourier transform infrared nanospectroscopy
Infrared nanospectroscopy enables novel possibilities for chemical and structural analysis of nanocomposites, biomaterials or optoelectronic devices. Here we introduce hyperspectral infrared nanoimaging based on Fourier transform infrared nanospectroscopy with a tunable bandwidth-limited laser conti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5316859/ https://www.ncbi.nlm.nih.gov/pubmed/28198384 http://dx.doi.org/10.1038/ncomms14402 |
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author | Amenabar, Iban Poly, Simon Goikoetxea, Monika Nuansing, Wiwat Lasch, Peter Hillenbrand, Rainer |
author_facet | Amenabar, Iban Poly, Simon Goikoetxea, Monika Nuansing, Wiwat Lasch, Peter Hillenbrand, Rainer |
author_sort | Amenabar, Iban |
collection | PubMed |
description | Infrared nanospectroscopy enables novel possibilities for chemical and structural analysis of nanocomposites, biomaterials or optoelectronic devices. Here we introduce hyperspectral infrared nanoimaging based on Fourier transform infrared nanospectroscopy with a tunable bandwidth-limited laser continuum. We describe the technical implementations and present hyperspectral infrared near-field images of about 5,000 pixel, each one covering the spectral range from 1,000 to 1,900 cm(−1). To verify the technique and to demonstrate its application potential, we imaged a three-component polymer blend and a melanin granule in a human hair cross-section, and demonstrate that multivariate data analysis can be applied for extracting spatially resolved chemical information. Particularly, we demonstrate that distribution and chemical interaction between the polymer components can be mapped with a spatial resolution of about 30 nm. We foresee wide application potential of hyperspectral infrared nanoimaging for valuable chemical materials characterization and quality control in various fields ranging from materials sciences to biomedicine. |
format | Online Article Text |
id | pubmed-5316859 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53168592017-02-27 Hyperspectral infrared nanoimaging of organic samples based on Fourier transform infrared nanospectroscopy Amenabar, Iban Poly, Simon Goikoetxea, Monika Nuansing, Wiwat Lasch, Peter Hillenbrand, Rainer Nat Commun Article Infrared nanospectroscopy enables novel possibilities for chemical and structural analysis of nanocomposites, biomaterials or optoelectronic devices. Here we introduce hyperspectral infrared nanoimaging based on Fourier transform infrared nanospectroscopy with a tunable bandwidth-limited laser continuum. We describe the technical implementations and present hyperspectral infrared near-field images of about 5,000 pixel, each one covering the spectral range from 1,000 to 1,900 cm(−1). To verify the technique and to demonstrate its application potential, we imaged a three-component polymer blend and a melanin granule in a human hair cross-section, and demonstrate that multivariate data analysis can be applied for extracting spatially resolved chemical information. Particularly, we demonstrate that distribution and chemical interaction between the polymer components can be mapped with a spatial resolution of about 30 nm. We foresee wide application potential of hyperspectral infrared nanoimaging for valuable chemical materials characterization and quality control in various fields ranging from materials sciences to biomedicine. Nature Publishing Group 2017-02-15 /pmc/articles/PMC5316859/ /pubmed/28198384 http://dx.doi.org/10.1038/ncomms14402 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Amenabar, Iban Poly, Simon Goikoetxea, Monika Nuansing, Wiwat Lasch, Peter Hillenbrand, Rainer Hyperspectral infrared nanoimaging of organic samples based on Fourier transform infrared nanospectroscopy |
title | Hyperspectral infrared nanoimaging of organic samples based on Fourier transform infrared nanospectroscopy |
title_full | Hyperspectral infrared nanoimaging of organic samples based on Fourier transform infrared nanospectroscopy |
title_fullStr | Hyperspectral infrared nanoimaging of organic samples based on Fourier transform infrared nanospectroscopy |
title_full_unstemmed | Hyperspectral infrared nanoimaging of organic samples based on Fourier transform infrared nanospectroscopy |
title_short | Hyperspectral infrared nanoimaging of organic samples based on Fourier transform infrared nanospectroscopy |
title_sort | hyperspectral infrared nanoimaging of organic samples based on fourier transform infrared nanospectroscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5316859/ https://www.ncbi.nlm.nih.gov/pubmed/28198384 http://dx.doi.org/10.1038/ncomms14402 |
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