Sample Preparation

GPC/SEC is mainly used for the characterization of macromolecules including synthetic and natural polymers (including polysaccharides) as well as proteins or RNA/DNA. This white paper provides an introduction to the technique in 30 minutes.

In this application note, we show that Malvern’s OmniSEC software can now communicate with Waters Empower® for the seamless exchange of sample sequences. This allows OmniSEC to follow the injections performed by a Waters SEC system and to synchronize data collection. A selection of proteins was used to demonstrate the measurement of protein molecular weight, oligomeric and aggregation state.

Four different polymers are analyzed by GPC/SEC to investigate the effect of molecular weight, dispersity and molecular structure on the final properties of the polymer.

This paper shows how using a solvent trap can be used to prevent sample drying/solvent loss during extended testing, helping to ensure that only rheological changes are being measured and not artifacts resulting from drying of the sample at the air/sample interface.

The top 10 reasons to consider an advanced multi-detector SEC system, which incorporates light scattering detectors for the measurement of absolute molecular weight and molecular weight distribution with excellent accuracy.

The stability of a protein sample and its tendency to aggregate is explored using a combination of SEC-MALS and DLS

Read how DLS-based optical microrheology can be used to determine the rheological behavior of polymer solutions and the impact of tracer particle chemistry on the measured microrheological response.

In this application note, we'll describe the successful molecular weight measurement of a polystyrene, PMMA and PVC sample using the OMNISEC system. This instrument can accurately measure the absolute molecular weight of any polymers independent of elution volume or structure. Although the measurements here have been performed using simple polymers, these methods can be applied to any polymer measured by GPC.

In this white paper we examine the deformulation workflow, demonstrating the value of the technique of Morphologically Directed Raman Spectroscopy (MDRS) within this context. Case studies illustrate the relevance of MDRS data.

Particle agglomeration can compromise the clinical efficacy of pharmaceutical products and must therefore be closely controlled. Automated particle image analysis provides one technology which can aid agglomerate detection. This article provides practical guidance on how imaging can be applied as a routine method to robustly identify and quantify the state of agglomeration of pharmaceutical formulations.