Back to Search Start Over

Printing of stretchable silk membranes for strain measurements

Authors :
Shengjie Ling
Zhao Qin
David L. Kaplan
Markus J. Buehler
Fiorenzo G. Omenetto
Qiang Zhang
Massachusetts Institute of Technology. Computational and Systems Biology Program
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Ling, Shengjie
Buehler, Markus J
Qin, Zhao
Source :
PMC
Publication Year :
2016
Publisher :
Royal Society of Chemistry (RSC), 2016.

Abstract

Quantifying the deformation of biological tissues under mechanical loading is crucial to understand its biomechanical response in physiological conditions and important for designing materials and treatments for biomedical applications. However, strain measurements for biological tissues subjected to large deformations and humid environments are challenging for conventional methods due to several limitations such as strain range, boundary conditions, surface bonding and biocompatibility. Here we propose the use of silk solutions and printing to synthesize prototype strain gauges for large strain measurements in biological tissues. The study shows that silk-based strain gauges can be stretched up to 1300% without failure, which is more than two orders of magnitude larger than conventional strain gauges, and the mechanics can be tuned by adjusting ion content. We demonstrate that the printing approach can accurately provide well bonded fluorescent features on the silk membranes using designs which can accurately measure strain in the membrane. The results show that these new strain gauges measure large deformations in the materials by eliminating the effects of sliding from the boundaries, making the measurements more accurate than direct outputs from tensile machines.<br />United States. National Institutes of Health (U01 EB014976)<br />United States. Office of Naval Research (N000141010562)<br />United States. Air Force Office of Scientific Research (FA9550-11-1-019)

Details

ISSN :
14730189 and 14730197
Volume :
16
Database :
OpenAIRE
Journal :
Lab on a Chip
Accession number :
edsair.doi.dedup.....216ffbe4ab637bc8f336108fbc8bd05d