Improving the accuracy of model-based quantitative nuclear magnetic resonance

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

doi:https://doi.org/10.5194/mr-1-141-2020

Articles | Volume 1, issue 2

https://doi.org/10.5194/mr-1-141-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/mr-1-141-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 1, issue 2

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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Final revised paper (published on 02 Jul 2020)
Supplement to the final revised paper
Preprint (discussion started on 28 Jan 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Improving the accuracy of model based quantitative NMR', Anonymous Referee #1, 09 Feb 2020
RC2: 'Review of manuscript by Holland et. al', Anonymous Referee #2, 25 Mar 2020
AC1: 'Authors' Final Response', Yevgen Matviychuk, 07 Apr 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Yevgen Matviychuk on behalf of the Authors (07 Apr 2020) Manuscript

ED: Publish subject to minor revisions (review by editor) (24 Apr 2020) by Jeffrey Hoch

AR by Yevgen Matviychuk on behalf of the Authors (28 Apr 2020) Author's response Manuscript

ED: Publish as is (30 Apr 2020) by Jeffrey Hoch

AR by Yevgen Matviychuk on behalf of the Authors (07 May 2020)

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 %.