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Pavel S. Postnikov

Researcher at Tomsk Polytechnic University

Publications -  155
Citations -  2451

Pavel S. Postnikov is an academic researcher from Tomsk Polytechnic University. The author has contributed to research in topics: Chemistry & Plasmon. The author has an hindex of 19, co-authored 126 publications receiving 1440 citations. Previous affiliations of Pavel S. Postnikov include Institute of Chemical Technology in Prague & Vanderbilt University.

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Unusually Stable, Versatile, and Pure Arenediazonium Tosylates: Their Preparation, Structures, and Synthetic Applicability

TL;DR: A new, simple, and effective method for the diazotization of a wide range of arylamines has been developed by using a polymer-supported diazOTization agent in the presence of p-toluenesulfonic acid.
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Magnetic polyurethane sponge for efficient oil adsorption and separation of oil from oil-in-water emulsions

TL;DR: In this paper, a magnetic polyurethane (MPU) sponge with super-hydrophobic/superoleophilic properties was fabricated in a two-step process consisting of surface functionalization of PU sponge with 3,5-bis(trifluoromethyl)benzenediazonium tosylate [ADT-(CF3)2] for the enhancement of its hydrophobicity, followed by incorporation of magnetic nanoparticles modified with the same diazoniium salt.
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Pretreatment-free selective and reproducible SERS-based detection of heavy metal ions on DTPA functionalized plasmonic platform

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

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.