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Analytics, Properties and Applications of Biologically Active Stilbene Derivatives.
Kluska, Mariusz; Jablonska, Joanna; Prukala, Wieslaw.
  • Kluska M; Faculty of Sciences, Siedlce University of Natural Sciences and Humanities, 3 Maja 54, 08-110 Siedlce, Poland.
  • Jablonska J; Faculty of Sciences, Siedlce University of Natural Sciences and Humanities, 3 Maja 54, 08-110 Siedlce, Poland.
  • Prukala W; Faculty of Chemistry, Adam Mickiewicz University, Uniwersytetu Poznanskiego 8, 61-614 Poznan, Poland.
Molecules ; 28(11)2023 Jun 01.
Article in English | MEDLINE | ID: covidwho-20238032
ABSTRACT
Stilbene and its derivatives belong to the group of biologically active compounds. Some derivatives occur naturally in various plant species, while others are obtained by synthesis. Resveratrol is one of the best-known stilbene derivatives. Many stilbene derivatives exhibit antimicrobial, antifungal or anticancer properties. A thorough understanding of the properties of this group of biologically active compounds, and the development of their analytics from various matrices, will allow for a wider range of applications. This information is particularly important in the era of increasing incidence of various diseases hitherto unknown, including COVID-19, which is still present in our population. The purpose of this study was to summarize information on the qualitative and quantitative analysis of stilbene derivatives, their biological activity, potential applications as preservatives, antiseptics and disinfectants, and stability analysis in various matrices. Optimal conditions for the analysis of the stilbene derivatives in question were developed using the isotachophoresis technique.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Stilbenes / COVID-19 Type of study: Observational study / Qualitative research Limits: Humans Language: English Journal subject: Biology Year: 2023 Document Type: Article Affiliation country: Molecules28114482

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Stilbenes / COVID-19 Type of study: Observational study / Qualitative research Limits: Humans Language: English Journal subject: Biology Year: 2023 Document Type: Article Affiliation country: Molecules28114482