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Published on: November 8, 2019
Quantitative infrared spectroscopy of environmentally sensitive and rough materials
Beibei Xu1, Zhiwei Peng1, Zupeng Wu1
1Department of Chemistry and Biochemistry, University of Maryland, College Park, Maryland 20742, USA.
This study introduces a new method for quantitative infrared spectroscopy, overcoming challenges with environmentally sensitive and rough materials. The developed environmental chamber and calibration technique enable accurate measurements for advanced applications.
Area of Science:
- Spectroscopy and Spectroscopic Analysis
- Materials Science
- Optical Engineering
Background:
- Fourier transform infrared (FTIR) spectroscopy is crucial for material characterization but struggles with environmentally sensitive or rough samples.
- Challenges include dynamic responses to stimuli and light scattering, limiting quantitative analysis.
- Existing methods lack the capability for precise measurements on such complex materials.
Purpose of the Study:
- To develop a method for quantitative infrared spectroscopy measurements of environmentally sensitive and/or rough materials.
- To enable accurate transmittance, reflectance, and emissivity measurements.
- To address limitations of conventional FTIR equipment in characterizing challenging samples.
Main Methods:
- Designed and 3D-printed a miniaturized environmental chamber for conventional integrating spheres.
- Developed a calibration method to correct for light scattering and IR window distortion.
- Performed quantitative infrared measurements (specular and diffusive) on sapphire and textile samples.
Main Results:
- The environmental chamber facilitated total transmission and reflection measurements in controlled environments.
- The calibration method successfully excluded light scattering and window distortion effects.
- Quantitative results from the equipped chamber matched those without IR windows, validating the approach.
Conclusions:
- The developed environmental chamber and calibration method enable quantitative infrared spectroscopy for challenging samples.
- This technique is viable for materials with rough surfaces and dynamic environmental responses.
- The method has potential applications in fields like metasurfaces and adaptive textiles.
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