Downloads: 128

Files in This Item:
File Description SizeFormat 
s41598-017-07502-3.pdf6.83 MBAdobe PDFView/Open
s41598-018-19721-3.pdfCorrection656.77 kBAdobe PDFView/Open
Title: Orientational Mapping Augmented Sub-Wavelength Hyper-Spectral Imaging of Silk
Authors: Ryu, Meguya
Balčytis, Armandas
Wang, Xuewen
Vongsvivut, Jitraporn
Hikima, Yuta  kyouindb  KAKEN_id  orcid (unconfirmed)
Li, Jingliang
Tobin, Mark J.
Juodkazis, Saulius
Morikawa, Junko
Author's alias: 引間, 悠太
Keywords: Imaging techniques
Nanoscale biophysics
Issue Date: 7-Aug-2017
Publisher: Springer Nature
Journal title: Scientific Reports
Volume: 7
Thesis number: 7419
Abstract: Molecular alignment underpins optical, mechanical, and thermal properties of materials, however, its direct measurement from volumes with micrometer dimensions is not accessible, especially, for structurally complex bio-materials. How the molecular alignment is linked to extraordinary properties of silk and its amorphous-crystalline composition has to be accessed by a direct measurement from a single silk fiber. Here, we show orientation mapping of the internal silk fiber structure via polarisation-dependent IR absorbance at high spatial resolution of 4.2 μm and 1.9 μm in a hyper-spectral IR imaging by attenuated total reflection using synchrotron radiation in the spectral fingerprint region around 6 μm wavelength. Free-standing longitudinal micro-slices of silk fibers, thinner than the fiber cross section, were prepared by microtome for the four polarization method to directly measure the orientational sensitivity of absorbance in the molecular fingerprint spectral window of the amide bands of β-sheet polypeptides of silk. Microtomed lateral slices of silk fibers, which may avoid possible artefacts that affect spectroscopic measurements with fibers of an elliptical cross sections were used in the study. Amorphisation of silk by ultra-short laser single-pulse exposure is demonstrated.
Description: An Author Correction to this article was published on 24 January 2018.
Rights: © The Author(s) 2017.
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
DOI(Published Version): 10.1038/s41598-017-07502-3
PubMed ID: 28785090
Related Link:
Appears in Collections:Journal Articles

Show full item record

Export to RefWorks

Export Format: 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.