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Webinars: Webinar: Light Scattering & FFF: Essential Polymer Characterization

Webinar Details
Webinar: Light Scattering & FFF: Essential Polymer Characterization
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This seminar will review light scattering technology, instrumentation, and applications to polymer research. The session will also discuss why every polymer chromatography lab will benefit from light scattering for measuring molecular weight and size, and the role of FFF in branching analysis.

Live Air Date: Tuesday, January 12, 2016

Characterization techniques based on multi-angle light scattering with chromatography (SEC-MALS) or field-flow fractionation (FFF-MALS) address many of the key analytical challenges in the modern polymer laboratory. This seminar will review light scattering technology, instrumentation, and applications to polymer research.

Select examples will illustrate how a complete light scattering solution based on SEC-MALS facilitates rapid and effective characterization of a wide variety of polymers, including polyacrylamides, acrylic copolymers, nylons, styrenes, and more. Recent advances in commercial applications of high molecular weight and/or branched polymers pose a particular challenge to analytical systems that were designed for simpler polymers. Case studies will be presented to illustrate failures of single-detector chromatography or SEC-MALS, wherein the addition of MALS to FFF made proper analysis possible. The supplemental roles of dynamic light scattering (DLS) and viscometry will also be explored.

As an attendee, you will learn more about:

  • Principles of MALS detection and calculation of polymer molecular size and mass
  • Identifying and overcoming shortfalls of conventional GPC/SEC via SEC-MALS
  • Leveraging DLS and intrinsic viscosity for enhanced characterization of molecular size
  • Calculation of copolymer ratios and molecular weights in-line with SEC
  • Advantages of FFF for separation of branched polymers

Speaker

Andrew Meyer, PhD - Senior Applications Scientist, Wyatt Technology Corporation

Sponsor

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