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

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Latest update: 29 Jun 2024
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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 %.