Rapid Characterization of Formulated Pharmaceuticals Using Fast MAS 1H Solid-State NMR Spectroscopy

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2019-05-16
Authors
Hirsh, David
Wijesekara, Anuradha
Carnahan, Scott
Hung, Ivan
Lubach, Joseph
Nagapudi, Karthik
Rossini, Aaron
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Ames LaboratoryChemistry
Abstract

Active pharmaceutical ingredients (APIs) can be prepared in many different solid forms and phases that affect their physicochemical properties and suitability for oral dosage forms. The development and commercialization of dosage forms require analytical techniques that can determine and quantify the API phase in the final drug product. 13C solid-state NMR (SSNMR) spectroscopy is widely employed to characterize pure and formulated solid APIs; however, 13C SSNMR experiments on dosage forms with low API loading are often challenging due to low sensitivity and interference from excipients. Here, fast MAS 1H SSNMR experiments are shown to be applicable for the rapid characterization of low drug load formulations. Diagnostic 1H SSNMR spectra of APIs within tablets are obtained by using combinations of frequency-selective saturation and excitation pulses, 2D experiments and 1H spin diffusion periods. Selective saturation pulses efficiently suppress the broad 1H SSNMR signals from the most commonly encountered excipients such as lactose and cellulose, allowing observation of high-frequency API 1H NMR signals. 1H SSNMR provides a one to three orders of magnitude reduction in experiment time compared to standard 13C SSNMR experiments, enabling diagnostic SSNMR spectra of dilute APIs within tablets to be obtained within a few minutes. The 1H SSNMR spectra can be used for quantification provided calibrations are performed on a standard sample with known API loading.

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This document is the unedited Author’s version of a Submitted Work that was subsequently accepted for publication in Molecular Pharmaceutics, copyright © American Chemical Society after peer review. To access the final edited and published work see DOI: 10.1021/acs.molpharmaceut.9b00343. Posted with permission.

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Tue Jan 01 00:00:00 UTC 2019
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