Paper
9 April 2013 Nanoscale imaging of mesh size distribution in gel engineering materials with visual scanning microscopic light scattering
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Abstract
Gels have unique properties such as low frictional properties, permeability and biocompatibility due to their high water content. When the gels are developed as industrial materials, we need to establish a method of quantitative analysis derived from the internal structure and the mechanical properties of these gels. However, the static inhomogeneities in gels prevent us to observe the structure of gels by scattering method. To solve this problem, we have developed scanning microscopic light scattering (SMILS) originally. In this study, firstly, the internal structure of the dry-synthesis gels are precisely examined experimentally by the scattering microscopic light scattering and theoretically by the tensile test. By comparing the two quantities, the dense network structure makes the mechanical properties of gels smaller than theoretical estimation. Secondary, we show the new system named Visual-SMILS that can provide the 2-dimentional data of the distribution. Based on our findings, the strength of the gels can be controlled and expected. We believe the Visual-SMILS system will promote research significantly in the field of gels.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yosuke Watanabe, M. Hasnat Kabir, Jin Gong, and Hidemitsu Furukawa "Nanoscale imaging of mesh size distribution in gel engineering materials with visual scanning microscopic light scattering", Proc. SPIE 8691, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2013, 86911C (9 April 2013); https://doi.org/10.1117/12.2009094
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Cited by 1 scholarly publication.
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KEYWORDS
Light scattering

Visualization

Scattering

Laser scattering

Estimation theory

Light

Quantitative analysis

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