Literature DB >> 28454058

Identification and characterization of process-related substances and degradation products in apremilast: Process optimization and degradation pathway elucidation.

Yuting Lu1, Xiaoyue Shen1, Taijun Hang1, Min Song2.   

Abstract

This study aims at investigating the separation, identification and characterization of related substances in apremilast by LC-MS hyphenated techniques, as well as the synthesis optimization and the degradation pathways elucidation. Forced degradation studies were conducted under the ICH prescribed stress conditions. The chromatographic separation was achieved on XBridge C18 column (4.6mm×150mm, 3.5μm) using a mobile phase consisting of water adjusted to pH 3.0 with formic acid as solvent A and acetonitrile as solvent B in linear gradient elution program. Twelve related substances were detected all together in apremilast and its stress samples. Their structures were identified mainly through positive ESI high-resolution TOF-MS analysis of the parent ions' accurate masses and elemental compositions, and the corresponding MS/MS spectra elucidation. There were three process-related substances and nine degradation products, seven of them were first reported. Two degradation products and one process-related substance were further verified by semi-preparation and NMR determination. Their origins and formation mechanisms were also discussed, based on which effective approaches for the synthesis optimization were conducted. Therefore, the related substances investigation are valuable for apremilast manufacturing process optimization and quality control.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Apremilast; LC–MS; Process optimization; Related substances

Mesh:

Substances:

Year:  2017        PMID: 28454058     DOI: 10.1016/j.jpba.2017.03.067

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  1 in total

1.  Quantitation of Apremilast in Beagle Dogs Plasma by UPLC-MS-MS and Its Application to Pharmacokinetic Studies.

Authors:  Wei Xiong; Ling Wang; Haiyan Zhang; Xiaoqiu Tao; Xuehua Jiang; Zejuan Liu; Jiajia Zhao; Wenwen Xu
Journal:  J Anal Methods Chem       Date:  2021-01-15       Impact factor: 2.193

  1 in total

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