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Food, Drug and Model Mix Analysis by Organic Monolithic Columns Based on Heterocyclic Monomers Full article

Journal Journal of Liquid Chromatography & Related Technologies
ISSN: 1082-6076 , E-ISSN: 1520-572X
Output data Year: 2023, Volume: 46, Number: 11-15, Pages: 211-217 Pages count : 7 DOI: 10.1080/10826076.2023.2235402
Tags HPLC; macromolecules separating; mixed-mode chromatography; monolithic columns; porous polymer
Authors Sotnikova Yulia S. 1,2 , Patrushev Yuri V. 1,2
Affiliations
1 Boreskov Institute of Catalysis, Novosibirsk, Russia
2 Natural Sciences Departament, Novosibirsk State University, Novosibirsk, Russia

Funding (1)

1 Ministry of Science and Higher Education of the Russian Federation 0239-2021-0003

Abstract: This paper presents examples of separation on monolithic columns prepared by two different methods: copolymerization and post-modification. In the first method, monoliths were prepared from styrene, divinylbenzene, and heterocyclic nitrogen-containing monomers. In the second, a styrene/divinylbenzene/4-vinylbenzyl chloride copolymer was obtained and in situ modified with 1-methylimidazole. It has been shown that monolithic columns are capable of separating macromolecules and low-molecular compounds. A comparison was made between a styrene/divinylbenzene/1-vinylimidazole copolymer column and a ProSwift™ RP-3U monolithic column. It has been established that a monolithic column based on 1-vinylimidazole is capable of separating proteins and low molecular weight test substances. However, the ProSwift™ RP-3U column is only capable of separating proteins. Separation examples are given: a test mixture of proteins, natural milk proteins, carbohydrates and drugs on a column with a sorbent based on styrene/divinylbenzene. A modified column was used to study the content of salicylic acid in medicinal preparations containing acetylsalicylic acid.
Cite: Sotnikova Y.S. , Patrushev Y.V.
Food, Drug and Model Mix Analysis by Organic Monolithic Columns Based on Heterocyclic Monomers
Journal of Liquid Chromatography & Related Technologies. 2023. V.46. N11-15. P.211-217. DOI: 10.1080/10826076.2023.2235402 WOS Scopus РИНЦ AN OpenAlex
Dates:
Published online: Jul 17, 2023
Identifiers:
Web of science: WOS:001031294400001
Scopus: 2-s2.0-85165259456
Elibrary: 54919933
Chemical Abstracts: 2023:1511542
OpenAlex: W4384500432
Citing:
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OpenAlex 1
Scopus 1
Web of science 1
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