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Updated: Apr 23, 2026

Characterizing Lewis Pairs Using Titration Coupled with In Situ Infrared Spectroscopy
Published on: February 20, 2020
Quantitative Thermodynamic Analyses of Spectroscopic Titration Curves
Wlodzimierz Bujalowski1, Maria J Jezewska2
1Department of Obstetrics and Gynecology, The Sealy Center for Structural Biology, Sealy Center for Cancer Cell Biology, The University of Texas Medical Branch at Galveston, 301 University Boulevard, Galveston, Texas 77555-1053.
Understanding molecular interactions requires accurate binding energetics. This study presents a model-independent method to determine binding isotherms using spectroscopic data, enabling precise quantification of ligand-macromolecule interactions.
Area of Science:
- Biophysical Chemistry
- Molecular Interactions
- Thermodynamics
Background:
- Ligand-macromolecule interactions are crucial for biological processes.
- Spectroscopic methods are widely used to study these interactions in solution.
- Accurate thermodynamic parameters require a validated relationship between spectroscopic signals and binding extent.
Purpose of the Study:
- To present a model-independent approach for analyzing spectroscopic data of molecular interactions.
- To enable accurate determination of binding isotherms.
- To quantify the degree of binding and free ligand concentration.
Main Methods:
- Utilizing spectroscopic methods to monitor molecular interactions.
- Developing a quantitative framework to relate observed signals to binding.
- Constructing thermodynamic binding isotherms without pre-assumed models.
Main Results:
- Demonstrated a method to quantitatively determine binding degree and free ligand concentration.
- Enabled the construction of thermodynamic binding isotherms in a model-independent manner.
- Provided a robust approach for analyzing spectroscopic data of molecular interactions.
Conclusions:
- The presented approach allows for accurate, model-independent determination of thermodynamic binding parameters.
- This method enhances the reliability of characterizing ligand-macromolecule interactions using spectroscopy.
- Accurate thermodynamic data is essential for understanding molecular recognition and function.
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