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Introducing OmniSEC Fully-featured GPC/SEC Software Available
Product News

Introducing OmniSEC Fully-featured GPC/SEC Software Available

Introducing OmniSEC Fully-featured GPC/SEC Software Available
Product News

Introducing OmniSEC Fully-featured GPC/SEC Software Available


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A new on-demand presentation from Viscotek, a Malvern company, introduces OmniSEC, the company’s easy-to-use software for gel permeation/size exclusion chromatography (GPC/SEC).

With a user-friendly interface, and features for both polymer and protein scientists, OmniSEC supports not only all the detectors in the Viscotek range, but also those from other suppliers.

GPC/SEC systems are routinely configured with a range of different detectors to accurately characterize eluting size fractionated samples. OmniSEC supports all of the commonly used analysis methodologies and offers an extensive range of detector and calculations options.

Features include: an advanced polymer branching view; a protein method that enables the calculation of molecular weight without prior knowledge of refractive index increment (dn/dc) or concentration; a variable dn/dc correction for precise measurement at low molecular weight; asymmetric band broadening correction for accurate molecular weight distribution determination.

The interface for OmniSEC will be familiar to anyone using Windows office applications but the results reporting capabilities extend well beyond the standard graphs and charts found in typical scientific software. Those using OmniSEC with a PDA can access a view of the data: an animated 3D graphic that assists with data interpretation.

The multi-detector support capabilities of the software extend to all refractive index, selective wavelength UV, both right angle and low angle light scattering (RALS/LALS) and photodiode array (PDA) detectors, and viscometers, from the Viscotek range. Other external detectors can be integrated via the OmniFACE interface. Where RALS and LALS detectors are both configured the software automatically chooses optimal data for the application, RALS being a better option for measuring smaller molecules, such as proteins, while LALS is preferred for larger molecules.
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