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- W2014231783 startingPage "4118" @default.
- W2014231783 abstract "The ability of a polymer matrix to separate DNA by capillary electrophoresis (CE) is strongly dependent upon polymer physical properties. In particular, recent results have shown that DNA sequencing performance is very sensitive to both the average molar mass and the average coil radius of the separation matrix polymers, which are affected by both polymer structure and polymer-solvent affinity. Large polymers with high average molar mass provide the best DNA sequencing separations for CE, but are also the most challenging to characterize with accuracy. The methods most commonly used for the characterization of water-soluble polymers with application in microchannel electrophoresis have been gel permeation chromatography (GPC) and intrinsic viscosity measurements, but the limitations and potential inaccuracies of these approaches, particularly for large or novel polymers and copolymers, press the need for a more universally accurate method of polymer molar mass profiling for advanced DNA separation matrices. Here, we show that multi-angle laser light scattering (MALLS) measurements, carried out either alone or in tandem with prior on-line sample fractionation by GPC, can provide accurate molar mass and coil radius information for polymer samples that are useful for DNA sequencing by CE. Wider employment of MALLS for characterization of novel polymers designed as DNA separation matrices for microchannel electrophoresis should enable more rapid optimization of matrix properties and formulation, and assist in the development of novel classes of polymer matrices." @default.
- W2014231783 created "2016-06-24" @default.
- W2014231783 creator A5057944860 @default.
- W2014231783 creator A5077200946 @default.
- W2014231783 date "2001-11-01" @default.
- W2014231783 modified "2023-09-24" @default.
- W2014231783 title "The use of light scattering for precise characterization of polymers for DNA sequencing by capillary electrophoresis" @default.
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- W2014231783 doi "https://doi.org/10.1002/1522-2683(200111)22:19<4118::aid-elps4118>3.0.co;2-q" @default.
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