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Chromatography 2016
September 21-23, 2016
Volume 7, Issue 5(Suppl) J Chromatogr Sep Tech 2016
ISSN: 2157-7064 JCGST, an open access journal
conferenceseries .com
September 21-23, 2016 Amsterdam, Netherlands
World Congress on Chromatography
Comprehensive two-dimensional critical chromatography a tool to understand the behavior of random
and block copolymers in chromatography
Aschwin van der Horst1, Robbie Westerneng2, Kevin Faro 2 and Antal Biesheuvel2
1Nuplex, Netherlands
2Avans Hogeschool Breda, Netherlands
Random, gradient and block copolymers are behaving differently in commonly used solvents in liquid chromatography.
Copolymers show two or more distributions, depending on their topology. Linear polymers and random copolymers
can be fully characterized by combining their chemical-composition distributions (CCD) and molecular-weight distributions
(MWD); block copolymers can be characterized by their block-length-distribution (BLD). Liquid chromatography at the
critical point of adsorption (LC-CC or simply critical chromatography, CC) is a highly useful technique used in polymer
LC. The mechanism of CC can be studied by coupling LC with size-exclusion chromatography (SEC) yielding CCxSEC.
This technique is often used for the characterization of functionality-type-distribution (FTD) in combination with MWD.
What we would like to demonstrate is another approach; two-dimensional critical chromatography (CCxCC). Using this
approach, more insight in the composition of random-, gradient- and di-block copolymers is obtained. Also the possibility of
obtaining relevant information from the CCxCC analysis of the latter copolymers is investigated. As a step towards a complete
understanding of the behavior of block copolymers in liquid chromatography, we are showing the results of a comprehensive
method for determining the mutually dependent block-length distributions of the blocks in di-block copolymers. When
critical chromatography is used in two-dimensions of a two-dimensional liquid chromatography (LCxLC) set-up, all relevant
distributions (the molecular-weight, chemical-composition and block-length distributions (CCD, BLD(A), BLD (B), MWD,
conversion and degree of gradient distribution (DGD)) can be determined in one analysis.
Biography
Aschwin van der Horst is a Principal Chemist Analytics in the Analysis, Materials and Instrumentation Laboratory at Nuplex, Bergen op Zoom, Netherlands. He
holds an experience of 16 years as a Polymer Analytical Chemist and 11 years of experience in Coating Technology. He published various papers on the analysis
and characterization of polymers by Multidimensional Liquid Chromatography and Pyrolysis-Liquid Chromatography. Besides his work at Nuplex, he is also a Guest
Lecturer at the Avans Hogeschool Breda on Polymer-, Resin- and Paint Analysis and its characterization.
Aschwin van der Horst et al., J Chromatogr Sep Tech 2016, 7:5(Suppl)