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Cited by 398

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Importance of Purity Evaluation and the Potential of Quantitative 1H NMR as a Purity Assay: Miniperspective

Open access
Pauli, Guido F., Chen, Shao-Nong, Simmler, Charlotte, Lankin, David C., Gödecke, Tanja, Jaki, Birgit U., Friesen, J. Brent, McAlpine, James B., Napolitano, José G.·2014·Journal of Medicinal Chemistry

Abstract

In any biomedical and chemical context, a truthful description of chemical constitution requires coverage of both structure and purity. This qualification affects all drug molecules, regardless of development stage (early discovery to approved drug) and source (natural product or synthetic). Purity assessment is particularly critical in discovery programs and whenever chemistry is linked with biological and/or therapeutic outcome. Compared with chromatography and elemental analysis, quantitative NMR (qNMR) uses nearly universal detection and provides a versatile and orthogonal means of purity evaluation. Absolute qNMR with flexible calibration captures analytes that frequently escape detection (water, sorbents). Widely accepted structural NMR workflows require minimal or no adjustments to become practical ¹H qNMR (qHNMR) procedures with simultaneous qualitative and (absolute) quantitative capability. This study reviews underlying concepts, provides a framework for standard qHNMR purity assays, and shows how adequate accuracy and precision are achieved for the intended use of the material.

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Registry

Crossref · 10.1021/jm500734a

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Metadata

Authors
Pauli, G. F., Chen, S.-N., Simmler, C., Lankin, D. C., Gödecke, T., Jaki, B. U., Friesen, J. B., McAlpine, J. B., & Napolitano, J. G.
Venue
Journal of Medicinal Chemistry
Published
2014-10-08
Volume
57
Issue
22
Pages
9220-9231
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2403854613
Cited by
398
References
20
FWCI
7.48
Type
journal article
Language
en
Open access
hybrid

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

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