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Residue-Based Thermogravimetric Analysis: A Novel Method to Quantify Carboxylate Group Modifications in
Christos Leliopoulos1, Hamidreza Mokhtari1, Shima Tavakoli1
1Translational Chemical Biology Laboratory, Division of Macromolecular Chemistry, Department of Chemistry-Ångström Laboratory, Uppsala University, Uppsala Se75121, Sweden.
A new thermogravimetric analysis (TGA) method accurately quantifies hyaluronic acid (HA) modifications. This residue-based technique works for diverse HA derivatives, even previously unquantifiable ones, advancing biomaterials development.
Area of Science:
- Polymer Chemistry
- Biomaterials Science
- Analytical Chemistry
Background:
- Accurate quantification of the degree of modification (DoM) in hyaluronic acid (HA) is essential for developing advanced biomaterials.
- Existing spectroscopic methods face challenges due to diverse functional groups in HA derivatives, hindering precise quantification.
Purpose of the Study:
- To develop a novel, label-free method for quantifying carboxylate modification in HA derivatives.
- To establish a technique applicable across various HA modifications, including those previously unquantifiable.
Main Methods:
- Utilized thermogravimetric analysis (TGA) by comparing the inorganic residue (Na2CO3) from sodium hyaluronate (NaHA) and its modified derivatives.
- Analyzed thermal decomposition profiles to quantify the sodium content, reflecting the degree of carboxylate modification.
Main Results:
- Successfully quantified the DoM for four diverse HA derivatives (aldehyde, furan, thiol, cyanoacetate) using TGA.
- Achieved excellent agreement with 1H NMR/UV-vis data for aldehyde, furan, and thiol derivatives.
- Enabled the first-time quantification of the cyanoacetate HA derivative, previously unquantifiable by other methods.
Conclusions:
- The residue-based TGA method provides a robust, label-free tool for quantifying carboxylate modification in HA.
- This approach is independent of the pendant chemical group and transferable to other carboxylate-bearing polymers.
- The technique effectively characterizes 'silent groups,' offering significant potential for biomaterials characterization and development.
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