Quo Vadis qNMR?
Clicks: 293
ID: 43072
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
75.7
/100
293 views
167 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #34 of 235 articles by views in Journal of pharmaceutical and biomedical analysis
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 235 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
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 H or C 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 H and C. 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.
| Reference Key |
diehl2019quojournal
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Diehl, Bernd;Holzgrabe, Ulrike;Monakhova, Yulia;Schönberger, Torsten; |
| Journal | Journal of pharmaceutical and biomedical analysis |
| Year | 2019 |
| DOI |
S0731-7085(19)31628-0
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.