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Cited by 302

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

The Prediction, Morphology, and Mechanical Properties of the Polymorphs of Paracetamol

Beyer, Theresa, Day, Graeme M., Price, Sarah L.·2001·Journal of the American Chemical Society

Abstract

The analgesic drug paracetamol (acetaminophen) has two reported metastable polymorphs, one with better tableting properties than the stable form, and another which remains uncharacterized. We have therefore performed a systematic crystal structure prediction search for minima in the lattice energy of crystalline paracetamol. The stable monoclinic form is found as the global lattice-energy minimum, but there are at least a dozen energetically feasible structures found, including the well-characterized metastable orthorhombic phase. Hence, we require additional criteria to reduce the number of hypothetical crystal structures that can be considered as potential polymorphs. For this purpose the elastic properties and vapor growth morphology of the known and predicted structures have been estimated using second-derivative analysis and the attachment-energy model. These inexpensive calculations give reasonable agreement with the available experimental data for the known polymorphs. Some of the hypothetical structures are predicted to have a low growth rate and plate-like morphology, and so are unlikely to be observed. Another is only marginally mechanically stable. Thus, this first consideration of such properties in a crystal-structure prediction study appears to reduce the number of predicted polymorphs while leaving a few candidates for the uncharacterized form.

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Crossref · 10.1021/ja0102787

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Metadata

Authors
Beyer, T., Day, G. M., & Price, S. L.
Venue
Journal of the American Chemical Society
Published
2001-05-01
Volume
123
Issue
21
Pages
5086-5094
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W1969785959
Cited by
302
References
12
FWCI
10.78
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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