Literature DB >> 32307169

Molecularly imprinted polymers and capillary electrophoresis for sensing phytoestrogens in milk.

Jaroslava Bezdekova1, Marcela Vlcnovska2, Kristyna Zemankova2, Romana Bacova1, Martina Kolackova1, Tomas Lednicky3, Jan Pribyl4, Lukas Richtera1, Lucie Vanickova1, Vojtech Adam1, Marketa Vaculovicova5.   

Abstract

Dairy cow feed contains, among other ingredients, soybeans, legumes, and clover, plants that are rich in phytoestrogens. Several publications have reported a positive influence of phytoestrogens on human health; however, several unfavorable effects have also been reported. In this work, a simple, selective, and eco-friendly method of phytoestrogen isolation based on the technique of noncovalent molecular imprinting was developed. Genistein was used as a template, and dopamine was chosen as a functional monomer. A layer of molecularly imprinted polymers was created in a microtitration well plate. The binding capability and selective properties of obtained molecularly imprinted polymers were investigated. The imprinted polymers exhibited higher binding affinity toward chosen phytoestrogen than did the nonimprinted polymers. A selectivity factor of 6.94 was calculated, confirming satisfactory selectivity of the polymeric layer. The applicability of the proposed sensing method was tested by isolation of genistein from a real sample of bovine milk and combined with micellar electrokinetic capillary chromatography with UV-visible detection.
Copyright © 2020 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  biochanin A; dopamine; genistein; milk

Year:  2020        PMID: 32307169     DOI: 10.3168/jds.2019-17367

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  1 in total

1.  UV-induced Zn:Cd/S quantum dots in-situ formed in the presence of thiols for sensitive and selective fluorescence detection of thiols.

Authors:  Navid Assi; Lukas Nejdl; Kristyna Zemankova; Kristyna Pavelicova; Jaroslava Bezdekova; Mirek Macka; Vojtech Adam; Marketa Vaculovicova
Journal:  Sci Rep       Date:  2021-07-05       Impact factor: 4.379

  1 in total

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