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Updated: Jan 24, 2026

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Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
Published on: September 17, 2017
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Polymorphism in Sulfanilamide: 14N Nuclear Quadrupole Resonance Study.
Zvonko Trontelj1, Janko Lužnik1, Janez Pirnat1
1Institute of Mathematics, Physics and Mechanics, Department of Physics, Ljubljana, Slovenia.
Journal of Pharmaceutical Sciences
|May 26, 2019
Summary
14N nuclear quadrupole resonance (14N NQR) spectroscopy effectively identifies sulfanilamide polymorphs. A single NQR frequency can characterize each polymorph, demonstrating NQR
Area of Science:
- Solid-state chemistry
- Materials science
- Analytical chemistry
Background:
- Polymorphism significantly impacts drug properties and efficacy.
- Characterizing different crystalline forms is crucial in pharmaceutical development.
- Nuclear Quadrupole Resonance (NQR) spectroscopy offers a sensitive probe for molecular environments.
Purpose of the Study:
- To showcase the chemical and pharmaceutical selectivity of 14N NQR spectroscopy.
- To investigate the polymorphism of sulfanilamide using 14N NQR.
- To establish NQR as a tool for polymorph identification and characterization.
Main Methods:
- Studied three known polymorphs of sulfanilamide.
- Utilized 14N NQR spectroscopy to analyze the crystal structures.
- Measured temperature dependence of quadrupole frequencies (ν+, ν-) and spin-lattice relaxation times (T1).
Main Results:
- Identified two distinct nitrogen sites within the crystal structure for each sulfanilamide polymorph.
- Observed two sets of three 14N NQR transition frequencies at room temperature.
- Demonstrated that a single NQR frequency is sufficient for polymorph characterization.
- Measured transition temperatures between polymorphs and estimated post-treatment ratios.
Conclusions:
- 14N NQR spectroscopy provides a selective and efficient method for distinguishing sulfanilamide polymorphs.
- The study validates the application of NQR in pharmaceutical solid-state analysis.
- NQR parameters offer unique fingerprints for crystalline material identification.
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