1
School of Science, Faculty of Engineering and Industrial Sciences, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
2
Department of Laser Technologies, Center for Physical Sciences and Technology, Savanoriu Ave. 231, LT-02300 Vilnius, Lithuania
3
Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan
4
Australian Future Fibres Research and Innovation Centre, Institute for Frontier Materials, Deakin University, Geelong, VIC 3220, Australia
5
Australian Synchrotron, Blackburn Road, Clayton, VIC 3168, Australia
6
Melbourne Centre for Nanofabrication, the Victorian Node of the Australian National Fabrication Facility, 151 Wellington Rd., Clayton, VIC 3168, Australia
7
These authors contributed equally to this work.
8
Current address: Ruhr-University Bochum, 44801 Bochum, Germany.
9
Current address: Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland.
Abstract
Domestic (
Bombyx mori) and wild (
Antheraea pernyi) silk fibers were characterised over a wide spectral range from THz 8 cm
(
1.25 mm,
0.24 THz) to deep-UV
cm
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Domestic (
Bombyx mori) and wild (
Antheraea pernyi) silk fibers were characterised over a wide spectral range from THz 8 cm
(
1.25 mm,
0.24 THz) to deep-UV
cm
(
200 nm,
1500 THz) wavelengths or over a 12.6 octave frequency range. Spectral features at
-sheet,
-coil and amorphous fibroin were analysed at different spectral ranges. Single fiber cross sections at mid-IR were used to determine spatial distribution of different silk constituents and revealed an
-coil rich core and more broadly spread
-sheets in natural silk fibers obtained from wild
Antheraea pernyi moths. Low energy T-ray bands at 243 and 229 cm
were observed in crystalline fibers of domestic and wild silk fibers, respectively, and showed no spectral shift down to 78 K temperature. A distinct
cm
band was observed in the crystalline
Antheraea pernyi silk fibers. Systematic analysis and assignment of the observed spectral bands is presented. Water solubility and biodegradability of silk, required for bio-medical and sensor applications, are directly inferred from specific spectral bands.
Full article