Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

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Matějka, Pavel

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University of Chemistry and Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024Laser-Induced Reactions of 4-Aminobenzenthiol Species Adsorbed on Ag, Au, and Cu Plasmonic Structures Followed by SERS Spectroscopy. The Role of Substrate and Excitation Energy - Surface-Complex Photochemistry and Plasmonic Catalysis.3citations
  • 2022An Electrochemical Sensor for Detection of Neuroblastoma Markers: Complexation Studies as a Tool for the Selection of a Suitable Receptor for Electrode Coating1citations
  • 2021Optimization of Electrochemical Visualization of Latent Fingerprints with Poly(Neutral Red) on Brass Surfaces5citations
  • 2021Immobilization of green-synthesized silver nanoparticles for micro- and nano-spectroscopic applications: What is the role of used short amino- and thio-linkers and immobilization procedure on the SERS spectra?5citations

Places of action

Chart of shared publication
Švecová, M.
1 / 1 shared
Kopal, Ivan
1 / 3 shared
Palounek, D.
1 / 1 shared
Jeřábek, Vojtěch
1 / 1 shared
Michalcová, A.
1 / 26 shared
Dendisová, M.
1 / 1 shared
Capkova, Tereza
1 / 2 shared
Lapčák, L.
1 / 2 shared
Shishkanova, Tatiana
1 / 4 shared
Fajgar, Radek
1 / 3 shared
Cuřínová, Petra
1 / 1 shared
Páleš, Jakub Marián
1 / 1 shared
Salvadori, Karolína
1 / 1 shared
Trchová, Miroslava
1 / 5 shared
Volochanskyi, Oleksandr
1 / 1 shared
Švecová, Marie
1 / 2 shared
Dendisova, Marcela
1 / 6 shared
Palounek, David
1 / 1 shared
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2024
2022
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Co-Authors (by relevance)

  • Švecová, M.
  • Kopal, Ivan
  • Palounek, D.
  • Jeřábek, Vojtěch
  • Michalcová, A.
  • Dendisová, M.
  • Capkova, Tereza
  • Lapčák, L.
  • Shishkanova, Tatiana
  • Fajgar, Radek
  • Cuřínová, Petra
  • Páleš, Jakub Marián
  • Salvadori, Karolína
  • Trchová, Miroslava
  • Volochanskyi, Oleksandr
  • Švecová, Marie
  • Dendisova, Marcela
  • Palounek, David
OrganizationsLocationPeople

article

An Electrochemical Sensor for Detection of Neuroblastoma Markers: Complexation Studies as a Tool for the Selection of a Suitable Receptor for Electrode Coating

  • Shishkanova, Tatiana
  • Fajgar, Radek
  • Cuřínová, Petra
  • Páleš, Jakub Marián
  • Salvadori, Karolína
  • Trchová, Miroslava
  • Matějka, Pavel
Abstract

Homovanillate (HVA) and vanilmandelate (VMA) are recognized markers of diseases, including neuroblastoma. However, their detection in urine represents a challenging task due to the complexity of the matrix. Here, a design, synthesis and thorough investigation of polymerizable urea-based receptors interacting with HVA and VMA are reported. The selection of receptor with the best anion recognition properties for electrode coating is based on 1 H-NMR and UV-Vis complexation studies. The sensor is prepared by electropolymerization with progress monitoring by cyclic voltammetry. The deposited layer is characterized by IR and scanning electron microscopy. The obtained sensor shows an electrochemical impedance spectroscopy response to VMA with linear range 9.9*10-6 to 1.2*10-3  M and LOD of 3.4*10-6  M. The sensor selectivity was demonstrated by the determination of VMA level in the presence of 16 muM HVA and in artificial urine with and without phosphates, with standard deviations of 0.11, 0.17 and 0.09, respectively.

Topics
  • impedance spectroscopy
  • scanning electron microscopy
  • Nuclear Magnetic Resonance spectroscopy
  • cyclic voltammetry