Literature DB >> 31505431

Quo Vadis qNMR?

Bernd Diehl1, Ulrike Holzgrabe2, Yulia Monakhova3, Torsten Schönberger4.   

Abstract

The quantification of a drug, its impurities, and e.g. components of a mixture has become routine in NMR laboratories and many applications have been described in the literature. However, besides simply using 1D 1H or 13C NMR, a number of more advanced methods has been developed and used in the past. Here, we want to describe the applicability of nuclei beyond the classical ones 1H and 13C. Mixtures can be characterized much better by applying various chemometric methods and separating the signals of mixture components can be achieved by DOSY experiments. All these methods contribute to the platform of qNMR methods and extend the possibilities of NMR for quantification and quality evaluation of drugs, excipients, polymers, and plant extracts. However, for quantification purposes, validation is always an issue and it is necessary to think about taking NMR related measures which might be different from the ones considered for chromatographic methods.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chemometrics; DOSY; Halogen and metal NMR; Validation; qNMR

Mesh:

Substances:

Year:  2019        PMID: 31505431     DOI: 10.1016/j.jpba.2019.112847

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  3 in total

1.  Artificial neural networks for quantitative online NMR spectroscopy.

Authors:  Simon Kern; Sascha Liehr; Lukas Wander; Martin Bornemann-Pfeiffer; Simon Müller; Michael Maiwald; Stefan Kowarik
Journal:  Anal Bioanal Chem       Date:  2020-05-09       Impact factor: 4.142

2.  Quantitative Chemical Profiling of Commercial Glyceride Excipients via 1H NMR Spectroscopy.

Authors:  Isha Saraf; Varun Kushwah; Hansjoerg Weber; Dattatray Modhave; Thean Yeoh; Amrit Paudel
Journal:  AAPS PharmSciTech       Date:  2020-12-03       Impact factor: 3.246

3.  NMR in target driven drug discovery: why not?

Authors:  Sébastien Keiffer; Marta G Carneiro; Johan Hollander; Masakazu Kobayashi; Denys Pogoryelev; Eiso Ab; Stephan Theisgen; Gerhard Müller; Gregg Siegal
Journal:  J Biomol NMR       Date:  2020-09-08       Impact factor: 2.835

  3 in total

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