V
Vaclav Svorcik
Researcher at Institute of Chemical Technology in Prague
Publications - 38
Citations - 1377
Vaclav Svorcik is an academic researcher from Institute of Chemical Technology in Prague. The author has contributed to research in topics: Plasmon & Silver nanoparticle. The author has an hindex of 20, co-authored 38 publications receiving 1034 citations. Previous affiliations of Vaclav Svorcik include Tomsk Polytechnic University.
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Stabilization of sputtered gold and silver nanoparticles in PEG colloid solutions
TL;DR: In this article, a simple technique for preparation of colloid solution of metal nanoparticles in polyethylene glycol (PEG)/H2O is described, which can be used without application of chemical reactions, stabilizers, or reducing agents.
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The Effect of Silver Grating and Nanoparticles Grafting for LSP–SPP Coupling and SERS Response Intensification
Y. Kalachyova,David Mareš,Vitezslav Jerabek,Kamil Záruba,Pavel Ulbrich,Ladislav Lapčák,Vaclav Svorcik,Oleksiy Lyutakov +7 more
TL;DR: In this article, a double resonance SERS (surfaceenhanced Raman spectroscopy) system with coupling between surface plasmon polariton (SPP) supported by the silver grating and localized surface plasmons (LSPs) excited on the grafted metal nanoparticles (MeNPs) is performed.
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Pretreatment-free selective and reproducible SERS-based detection of heavy metal ions on DTPA functionalized plasmonic platform
Olga Guselnikova,Olga Guselnikova,Pavel S. Postnikov,M. Erzina,Y. Kalachyova,Y. Kalachyova,Vaclav Svorcik,Oleksiy Lyutakov,Oleksiy Lyutakov +8 more
TL;DR: In this article, a surface plasmon-polariton based functionalized SERS platform for the detection of heavy metal ions was proposed, based on the homogeneous distribution of the plasm intensity on the ordered plasmor structure and high affinity of diethylenetriaminepentaacetic acid (DTPA) to heavy metal ion.
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Metal-organic framework (MOF-5) coated SERS active gold gratings: A platform for the selective detection of organic contaminants in soil
Olga Guselnikova,Olga Guselnikova,Pavel S. Postnikov,Pavel S. Postnikov,Roman Elashnikov,Elena Miliutina,Elena Miliutina,Vaclav Svorcik,Oleksiy Lyutakov,Oleksiy Lyutakov +9 more
TL;DR: The proposed SERS chip proved itself to be a perfect analytical probe for the detection of organophosphorus pesticides with high reliability and low detection limit up to 10-12 M, and selective detection and recognition of several relevant organic contaminants from the simulated soil was successfully demonstrated.
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Precise cancer detection via the combination of functionalized SERS surfaces and convolutional neural network with independent inputs
Mariia Erzina,Mariia Erzina,Andrii Trelin,Olga Guselnikova,Olga Guselnikova,Barbora Dvorankova,K. Strnadova,A. Perminova,P. Ulbrich,David Mareš,Vitezslav Jerabek,Roman Elashnikov,Vaclav Svorcik,Oleksiy Lyutakov +13 more
TL;DR: E Evaluation of convolutional neural networks (CNN) training results, performed with ad hoc feature selection method, suggests that the grafted functional groups provide specificity to proteins, nucleic acids and lipids, responsible for cancer line identification.