Detection of microbial contamination based on uracil-selective synthetic receptors.

Bacteria Capillary electrophoresis Molecularly imprinted polymers Nucleobases

Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
01 Mar 2021
Historique:
received: 23 07 2020
revised: 21 10 2020
accepted: 23 10 2020
entrez: 31 12 2020
pubmed: 1 1 2021
medline: 15 5 2021
Statut: ppublish

Résumé

The here presented work is focused on the development of a method for detection of microbial contamination of food based on uracil-selective synthetic receptors. Because uracil may serve as an indicator of bacterial contamination, its selective and on-site detection may prevent spreading of foodborne diseases. The synthetic receptors were created by molecular imprinting. Molecularly imprinted polymers for selective uracil isolation were prepared by a non-covalent imprinting method using dopamine as a functional monomer. Detection of isolated uracil was performed by capillary electrophoresis with absorption detection (λ - 260 nm). The conditions of preparation of molecularly imprinted polymers, their binding properties, adsorption kinetics and selectivity were investigated in detail. Furthermore, the prepared polymer materials were used for selective isolation and detection of uracil from complex samples as tomato products by miniaturized electrophoretic system suggesting the potential of in situ analysis of real samples.

Identifiants

pubmed: 33379038
pii: S0039-9140(20)31104-8
doi: 10.1016/j.talanta.2020.121813
pii:
doi:

Substances chimiques

Polymers 0
Receptors, Artificial 0
Uracil 56HH86ZVCT

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

121813

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Jaroslava Bezdekova (J)

Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00, Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Purkynova 123, CZ-612 00, Brno, Czech Republic.

Milada Vodova (M)

Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00, Brno, Czech Republic.

Kristyna Dolezelikova (K)

Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00, Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Purkynova 123, CZ-612 00, Brno, Czech Republic.

Jan Zitka (J)

Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00, Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Purkynova 123, CZ-612 00, Brno, Czech Republic.

Kristyna Smerkova (K)

Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00, Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Purkynova 123, CZ-612 00, Brno, Czech Republic.

Ondrej Zitka (O)

Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00, Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Purkynova 123, CZ-612 00, Brno, Czech Republic.

Vojtech Adam (V)

Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00, Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Purkynova 123, CZ-612 00, Brno, Czech Republic.

Marketa Vaculovicova (M)

Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00, Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Purkynova 123, CZ-612 00, Brno, Czech Republic. Electronic address: marketa.vaculovicova@mendelu.cz.

Articles similaires

Semiconductors Photosynthesis Polymers Carbon Dioxide Bacteria
Animals Huntington Disease Mitochondria Neurons Mice
Nanoparticles Needles Polylactic Acid-Polyglycolic Acid Copolymer Polyethylene Glycols Curcumin

Strain learning in protein-based mechanical metamaterials.

Naroa Sadaba, Eva Sanchez-Rexach, Curt Waltmann et al.
1.00
Serum Albumin, Bovine Stress, Mechanical Animals Polymers Materials Testing

Classifications MeSH