Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Amenabar, Iban, Poly, Simon, Goikoetxea, Monika, Nuansing, Wiwat, Lasch, Peter, Hillenbrand, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
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
_version_ 1782508905090252800
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
work_keys_str_mv AT amenabariban hyperspectralinfrarednanoimagingoforganicsamplesbasedonfouriertransforminfrarednanospectroscopy
AT polysimon hyperspectralinfrarednanoimagingoforganicsamplesbasedonfouriertransforminfrarednanospectroscopy
AT goikoetxeamonika hyperspectralinfrarednanoimagingoforganicsamplesbasedonfouriertransforminfrarednanospectroscopy
AT nuansingwiwat hyperspectralinfrarednanoimagingoforganicsamplesbasedonfouriertransforminfrarednanospectroscopy
AT laschpeter hyperspectralinfrarednanoimagingoforganicsamplesbasedonfouriertransforminfrarednanospectroscopy
AT hillenbrandrainer hyperspectralinfrarednanoimagingoforganicsamplesbasedonfouriertransforminfrarednanospectroscopy