R Shiny App for the Automated Deconvolution of NMR Spectra to Quantify the Solid-State Forms of Pharmaceutical Mixtures

R Shiny App for the Automated Deconvolution of NMR Spectra to Quantify the Solid-State Forms of Pharmaceutical Mixtures

Bioavailability and chemical stability are important characteristics of drug products that are strongly affected by the solid-state structure of the active pharmaceutical ingredient (API). In pharmaceutical development and quality control activities, solid-state NMR (ssNMR) has proved to be an excel...

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Bibliographic Details
Main Authors: Piotr Prostko, Jeroen Pikkemaat, Philipp Selter, Michail Lukaschek, Rainer Wechselberger, Tatsiana Khamiakova, Dirk Valkenborg
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Metabolites
Subjects:
solid-state NMR
deconvolution
quantification
pharmaceutical development
quality control
software
Online Access:https://www.mdpi.com/2218-1989/12/12/1248

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https://www.mdpi.com/2218-1989/12/12/1248

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