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Updated: Mar 16, 2026
Microfluidic Dry-spinning and Characterization of Regenerated Silk Fibroin Fibers
Published on: September 4, 2017
Characterizing the Effects of Washing by Different Detergents on the Wavelength-Scale Microstructures of Silk Samples
Yang Dong1,2, Honghui He3, Chao He4,5
1Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China. dy15@mails.tsinghua.edu.cn.
Abstract:
Silk fibers suffer from microstructural changes due to various external environmental conditions including daily washings. In this paper, we take the backscattering Mueller matrix images of silk samples for non-destructive and real-time quantitative characterization of the wavelength-scale microstructure and examination of the effects of washing by different detergents. The 2D images of the 16 Mueller matrix elements are reduced to the frequency distribution histograms (FDHs) whose central moments reveal the dominant structural features of the silk fibers. A group of new parameters are also proposed to characterize the wavelength-scale microstructural changes of the silk samples during the washing processes. Monte Carlo (MC) simulations are carried out to better understand how the Mueller matrix parameters are related to the wavelength-scale microstructure of silk fibers. The good agreement between experiments and simulations indicates that the Mueller matrix polarimetry and FDH based parameters can be used to quantitatively detect the wavelength-scale microstructural features of silk fibers. Mueller matrix polarimetry may be used as a powerful tool for non-destructive and in situ characterization of the wavelength-scale microstructures of silk based materials.
Insights
This study uses Mueller matrix polarimetry to analyze microstructural changes in silk fibers after washing. The findings show this technique can quantitatively detect these changes non-destructively, aiding material characterization.
Area of Science:
- Materials Science
- Optics
- Textile Engineering
Background:
- Silk fibers undergo microstructural alterations due to environmental factors like washing.
- Understanding these changes is crucial for maintaining silk material integrity and performance.
Purpose of the Study:
- To develop a non-destructive method for characterizing wavelength-scale microstructural changes in silk fibers.
- To investigate the impact of different detergents on silk microstructures using Mueller matrix imaging.
- To establish quantitative parameters for assessing silk fiber alterations during washing.
Main Methods:
- Acquisition of backscattering Mueller matrix images of silk samples.
- Reduction of 2D Mueller matrix images to frequency distribution histograms (FDHs).
- Analysis of FDH central moments and proposed new parameters for microstructural characterization.
- Utilizing Monte Carlo (MC) simulations to correlate Mueller matrix parameters with microstructure.
Main Results:
- Mueller matrix polarimetry and FDH-based parameters effectively revealed dominant structural features.
- New parameters were proposed and validated for characterizing microstructural changes during washing.
- Monte Carlo simulations supported the experimental findings, confirming the link between Mueller matrix data and microstructure.
- Good agreement was observed between experimental results and simulations.
Conclusions:
- Mueller matrix polarimetry offers a powerful, non-destructive tool for in situ characterization of silk-based materials.
- The developed method provides quantitative insights into wavelength-scale microstructural changes in silk fibers.
- This technique is valuable for quality control and understanding material degradation in silk products.
