Articles | Volume 1, issue 2
https://doi.org/10.5194/mr-1-141-2020
https://doi.org/10.5194/mr-1-141-2020
Research article
 | 
02 Jul 2020
Research article |  | 02 Jul 2020

Improving the accuracy of model-based quantitative nuclear magnetic resonance

Yevgen Matviychuk, Ellen Steimers, Erik von Harbou, and Daniel J. Holland

Viewed

Total article views: 2,430 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,464 846 120 2,430 305 126 119
  • HTML: 1,464
  • PDF: 846
  • XML: 120
  • Total: 2,430
  • Supplement: 305
  • BibTeX: 126
  • EndNote: 119
Views and downloads (calculated since 28 Jan 2020)
Cumulative views and downloads (calculated since 28 Jan 2020)

Viewed (geographical distribution)

Total article views: 2,430 (including HTML, PDF, and XML) Thereof 2,242 with geography defined and 188 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Jan 2025
Download
Short summary
Quantitative analysis of mixtures is a challenge in applications ranging from foods to industrial chemistry. Nuclear magnetic resonance (NMR) is increasingly used for analysis; however, overlapping peaks in the spectrum pose a major difficulty, especially for the new generation of benchtop NMR instruments. We propose a fast and simple model-based approach to enhance the accuracy of quantification. We demonstrate it on industrially relevant test samples where the accuracy is increased by 40 %.