Literature DB >> 28561374

Practical guide for selection of 1 H qNMR acquisition and processing parameters confirmed by automated spectra evaluation.

Yulia B Monakhova1,2, Bernd W K Diehl1.   

Abstract

In our recent paper, a new technique for automated spectra integration and quality control of the acquired results in qNMR was developed and validated (Monakhova & Diehl, Magn. Res. Chem. 2017, doi: 10.1002/mrc.4591). The present study is focused on the influence of acquisition and postacquisition parameters on the developed automated routine in particular, and on the quantitative NMR (qNMR) results in general, which has not been undertaken previously in a systematic and automated manner. Results are presented for a number of model mixtures and authentic pharmaceutical products measured on 500- and 600-MHz NMR spectrometers. The influence of the most important acquisition (spectral width, transmitter [frequency] offset, number of scans, and time domain) and processing (size of real spectrum, deconvolution, Gaussian window multiplication, and line broadening) parameters for qNMR was automatically investigated. Moderate modification of the majority of the investigated parameters from default instrument settings within evaluated ranges does not significantly affect the trueness and precision of the qNMR. Lite Gaussian window multiplication resulted in accuracy improvement of the qNMR output and is recommended for routine measurements. In general, given that the acquisition and processing parameters were selected based on the presented guidelines, automated qNMR analysis can be employed for reproducible high-precision concentration measurements in practice.
Copyright © 2017 John Wiley & Sons, Ltd.

Keywords:  acquisition; automation; pharmaceutical products; processing; qNMR

Year:  2017        PMID: 28561374     DOI: 10.1002/mrc.4622

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  4 in total

1.  Quality Control of Therapeutic Peptides by 1H NMR HiFSA Sequencing.

Authors:  Mary P Choules; Jonathan Bisson; Wei Gao; David C Lankin; James B McAlpine; Matthias Niemitz; Birgit U Jaki; Scott G Franzblau; Guido F Pauli
Journal:  J Org Chem       Date:  2019-02-22       Impact factor: 4.354

2.  Metabolite quantification: A fluorescence-based method for urine sample normalization prior to 1H-NMR analysis.

Authors:  James Gerard Wolfsberger; Emily C Hunt; Sai Sumedha Bobba; Sharifa Love-Rutledge; Bernhard Vogler
Journal:  Metabolomics       Date:  2022-10-19       Impact factor: 4.747

Review 3.  NMR spectroscopy in drug discovery and development: Evaluation of physico-chemical properties.

Authors:  Mire Zloh
Journal:  ADMET DMPK       Date:  2019-12-11

4.  Two Ways to Achieve the Same Goal-Two Validated Quantitative NMR Strategies for a Low-Abundance Natural Product in Standardized Extracts: The Case of Hepatodamianol in Turnera diffusa.

Authors:  Aída Parra-Naranjo; Cecilia Delgado-Montemayor; Ricardo Salazar-Aranda; Rocío Castro-Ríos; Alma L Saucedo; Noemí Waksman-Minsky
Journal:  Molecules       Date:  2022-10-05       Impact factor: 4.927

  4 in total

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