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A Package of Established Analytical Tools to Investigate the Solid-State Alteration of Lipid-Based Excipients
Published on: August 9, 2022
Analysis of structural variability in pharmaceutical excipients using solid-state NMR spectroscopy
Diana M Sperger1, Eric Jon Munson
1Department of Pharmaceutical Chemistry, University of Kansas, Lawrence, USA.
Solid-state NMR spectroscopy (SSNMR) effectively characterizes polysaccharide excipients, identifying structural variations and purity. This non-destructive method offers crucial analytical insights for pharmaceutical formulations.
Area of Science:
- Analytical Chemistry
- Materials Science
- Pharmaceutical Sciences
Background:
- Polysaccharide-based excipients are vital in solid dosage forms, exhibiting diverse structural and functional properties.
- Accurate characterization of these excipients is essential for formulation development and drug delivery.
- Existing analytical methods may not fully capture the nuances of these complex materials.
Purpose of the Study:
- To identify specific solid-state Nuclear Magnetic Resonance (SSNMR) parameters for differentiating polysaccharide excipients.
- To demonstrate the utility of SSNMR in assessing key quality attributes of pharmaceutical excipients.
Main Methods:
- Acquisition of carbon-13 (13C) SSNMR spectra for various excipients using a Chemagnetics CMX-300 spectrometer.
- Analysis of spectral resolution, peak positions, relative intensities, and relaxation parameters.
- Comparison of obtained spectra with known standards and reference materials.
Main Results:
- SSNMR enables positive identification of major excipient forms based on signal resolution.
- Specific parameters like carbonyl peak position differentiate alginic acid from sodium alginate.
- SSNMR quantifies amorphous/crystalline content in starch, assesses carrageenan purity, and correlates starch derivative relaxation with hydrolysis degree.
Conclusions:
- Solid-state NMR spectroscopy is a powerful, non-destructive technique for characterizing polysaccharide excipients.
- SSNMR detects critical attributes including form identification, structural differences, purity, and water content variations.
- This method provides valuable analytical data for ensuring the quality and performance of pharmaceutical formulations.
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