Development of an ultra-high-performance liquid chromatography-charged aerosol detection/UV method for the quantitation of linear polyethylenimines in oligonucleotide polyplexes.

charged aerosol detection decomplexation oligonucleotides polyethylenimines reversed-phase high-performance liquid chromatography

Journal

Journal of separation science
ISSN: 1615-9314
Titre abrégé: J Sep Sci
Pays: Germany
ID NLM: 101088554

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 10 04 2020
revised: 05 08 2020
accepted: 09 08 2020
pubmed: 14 8 2020
medline: 31 8 2021
entrez: 14 8 2020
Statut: ppublish

Résumé

Linear polyethylenimines are polycationic excipients that have found many pharmaceutical applications, including as a delivery vehicle for gene therapy through formation of polyplexes with oligonucleotides. Accurate quantitation of linear polyethylenimines in both starting solution and formulation containing oligonucleotide/polyethylenimine polyplexes is critical. Existing methods using spectroscopy, matrix-assisted laser desorption/ionization mass spectrometry time-of-flight, or nuclear magnetic resonance are either complex or suffer from low selectivity. Here, the development and performance of a simple analytical method is described whereby linear polyethylenimines are resolved by ultra-high-performance liquid chromatography and quantified using either a charged aerosol detector or an ultraviolet detector. For formulated oligonucleotide/polyethylenimine polyplexes, sample preparation through decomplexation/digestion by trifluoroacetic acid was necessary to eliminate separation interference. The method can be used not only to support formulation development but also to monitor the synthesis/purification and characterization of linear polyethylenimines.

Identifiants

pubmed: 32786026
doi: 10.1002/jssc.202000414
doi:

Substances chimiques

Aerosols 0
Oligonucleotides 0
Polyethyleneimine 9002-98-6

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3876-3884

Informations de copyright

© 2020 Wiley-VCH GmbH.

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Auteurs

Adam Socia (A)

Merck & Co., Inc., Kenilworth, NJ, USA.

Yong Liu (Y)

Merck & Co., Inc., Kenilworth, NJ, USA.

Yuejie Zhao (Y)

Merck & Co., Inc., Kenilworth, NJ, USA.

Andreas Abend (A)

Merck & Co., Inc., Kenilworth, NJ, USA.

W Peter Wuelfing (WP)

Merck & Co., Inc., Kenilworth, NJ, USA.

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Classifications MeSH