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An improved workflow for the development of MS-compatible liquid chromatography assay purity and purification methods by using automated LC Screening instrumentation and in silico modeling.

Authors :
Manheim J
Singh AN
Aggarwal P
Aldine FN
Haidar Ahmad IA
Source :
Analytical and bioanalytical chemistry [Anal Bioanal Chem] 2024 Feb; Vol. 416 (5), pp. 1269-1279. Date of Electronic Publication: 2024 Jan 16.
Publication Year :
2024

Abstract

The development of liquid chromatography UV and mass spectrometry (LC-UV-MS) assays in pharmaceutical analysis is pivotal to improve quality control by providing critical information about drug purity, stability, and presence and identity of byproducts and impurities. Analytical method development of these assays is time-consuming, which often causes it to become a bottle neck in drug development and poses a challenge for process chemists to quickly improve the chemistry. In this study, a systematic and efficient workflow was designed to develop purity assay and purification methods for a wide range of compounds including peptides, proteins, and small molecules with MS-compatible mobile phases (MP) by using automated LC screening instrumentation and in silico modeling tools. Initial LC MPs and chromatography column screening experiments enabled quick identification of conditions which provided the best resolution in the vicinity of the target compounds, which is further optimized using computer-assisted modeling (LC Simulator from ACD/Labs). The experimental retention times were in good agreement with the predicted retention times from LC Simulator (Δt <subscript>R</subscript>  < 7%). This workflow presents a practical workflow to significantly expedite the time needed to develop optimized LC-UV-MS methods, allowing for a facile, automatic method optimization and reducing the amount of manual work involved in developing new methods during drug development.<br /> (© 2024. Merck & Co., Inc., Rahway, NJ, USA and its affiliates under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.)

Details

Language :
English
ISSN :
1618-2650
Volume :
416
Issue :
5
Database :
MEDLINE
Journal :
Analytical and bioanalytical chemistry
Publication Type :
Academic Journal
Accession number :
38225399
Full Text :
https://doi.org/10.1007/s00216-023-05118-3