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Updated: Mar 2, 2026

Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
Published on: September 17, 2017
Conformational and vibrational reassessment of solid paracetamol
Ana M Amado1, Celeste Azevedo2, Paulo J A Ribeiro-Claro2
1Química-Física Molecular, Departamento de Química, FCTUC, Universidade de Coimbra, P-3004-535 Coimbra, Portugal.
This study clarifies the vibrational spectrum of paracetamol (acetaminophen) using advanced spectroscopy and computation. It corrects previous vibrational assignments, particularly for hydrogen-bonded groups, ensuring accurate data for this common pain reliever.
Area of Science:
- Solid-state chemistry
- Computational chemistry
- Spectroscopy
Background:
- Paracetamol is a widely used analgesic and antipyretic.
- Accurate knowledge of its vibrational spectrum is crucial for quality control and research.
- Existing literature contains potential misassignments of vibrational modes.
Purpose of the Study:
- To provide a detailed and accurate understanding of paracetamol's vibrational spectrum.
- To reassign vibrational modes, especially those involving hydrogen bonds.
- To correct erroneous data in the existing literature.
Main Methods:
- Comprehensive spectroscopic analysis including infrared, Raman, and inelastic neutron scattering (INS).
- Computational approach incorporating intermolecular interactions in the solid state.
- Reassessment and correction of vibrational assignments for paracetamol.
Main Results:
- A full reassessment of paracetamol's vibrational assignments was performed.
- Incorrect data analysis and misassignments from previous studies were identified and prevented.
- Vibrational modes of hydrogen-bonded NH and OH groups were correctly reallocated to bands shifted up to 300 cm-1.
Conclusions:
- This work establishes accurate vibrational assignments for paracetamol.
- The findings contribute to a more reliable understanding of paracetamol's solid-state properties.
- Corrected data prevents the propagation of errors in future research and analysis.
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