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Ivan Sumerskii

Researcher at University of Natural Resources and Life Sciences, Vienna

Publications -  21
Citations -  365

Ivan Sumerskii is an academic researcher from University of Natural Resources and Life Sciences, Vienna. The author has contributed to research in topics: Lignin & Chemistry. The author has an hindex of 9, co-authored 18 publications receiving 249 citations.

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Getting Closer to Absolute Molar Masses of Technical Lignins.

TL;DR: In this article, a multangle light scattering (MALS) detection at 785'nm by using an infrared laser was proposed to determine the molar mass distributions of all types of lignins.
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Characterization of technical lignins by NMR spectroscopy: optimization of functional group analysis by 31P NMR spectroscopy

TL;DR: In this article, the results of a set of lignins consisting of three kraft lignin, one lignosulfonates, and one milled wood lignIN are presented based on the optimized ³¹P NMR approach.
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Silane meets click chemistry: towards the functionalization of wet bacterial cellulose sheets.

TL;DR: The new method renders bacterial cellulose and other never-dried cellulosic materials susceptible to direct and facile functionalization in an aqueous medium without the need to work in water-free organic phases or to employ extensive protecting group chemistry and functional group interconversion.
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Fast track for quantitative isolation of lignosulfonates from spent sulfite liquors

TL;DR: A novel approach for isolation and purification of lignosulfonates from spent sulfite liquor, which involves sorption onto macroreticular non-ionic poly(methyl methacrylate) beads (XAD-7 resin) and subsequent desorption with organic solvents to obtain lignonates of high purity.
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Fast Track to Molar-Mass Distributions of Technical Lignins

TL;DR: A new approach, which uses the eluent DMSO/LiBr and converts lignosulfonate salts into their acidic form before analysis, overcomes limitations by enabling measurement of all kinds of lignins in the same size-exclusion chromatography system without the necessity of prior time-consuming derivatization steps.