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Published on: June 28, 2016
Advancing Integrating-Sphere-Assisted Resonance Synchronous Spectroscopy for Quantitative Absorbance Analysis in
Joshua McEachin1, Pathum Wathudura1, Huy Pham1
1Department of Chemistry, Mississippi State University, Mississippi State, Mississippi 39762, United States.
Integrating-Sphere-Assisted Resonance Synchronous (ISARS) spectroscopy now quantifies UV-vis absorbance in highly turbid solutions. This enhanced technique expands spectral range and dynamic range, enabling reliable measurements in complex samples like milk.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Biophysical Chemistry
Background:
- Conventional UV-vis spectrophotometry struggles with turbid solutions due to scattering.
- Integrating-Sphere-Assisted Resonance Synchronous (ISARS) spectroscopy offers an alternative for turbid samples.
- Existing ISARS methods had limitations in spectral range, dynamic range, and sample volume sensitivity.
Purpose of the Study:
- To enhance the capabilities of ISARS spectroscopy for broader applications.
- To overcome limitations of spectral range, linear dynamic range, and sample volume variations.
- To enable accurate absorbance quantification in optically complex media.
Main Methods:
- Expanded spectral range to 250-750 nm using neutral-density-filter (NDF) strategy.
- Extended linear dynamic range using short-path cuvettes and direct "first-strike" geometry.
- Developed polynomial models and a Python GUI for data analysis and conversion to double-beam values.
Main Results:
- Achieved a significantly expanded usable spectral range (250-750 nm).
- Enabled reliable quantification of protein absorbance in undiluted commercial milks (optical density > 150).
- Demonstrated ISARS's unique capability in solutions with extremely high scattering.
Conclusions:
- The enhanced ISARS method overcomes critical limitations of the original technique.
- ISARS is now a powerful and accessible platform for absorbance analysis in optically complex media.
- This advancement opens new possibilities for analyzing challenging biological and industrial samples.
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