Tips & Tricks: GPC/SEC Increase Resolution and Separation Range
The precision and accuracy of the results depends, amongst other parameters, on the selection of the proper separation columns.
GPC/SEC is used to separate, identify and characterize macromolecules with respect to their molar mass averages and molar mass distribution (MMD). The precision and accuracy of the results depends, amongst other parameters, on the selection of the proper separation columns.
A proper column selection in GPC/SEC always includes finding a compromise between separation range, analytical quality, analysis time and solvent consumption. A wide separation range is required for highest versatility and applicability, a good resolution is required for the in-depth analysis, especially for a detailed MMD. Analysis time and solvent consumption are important especially for quality control in high temperature GPC and when expensive solvents are used.
The dependence of GPC/SEC column characteristics and experimental parameters on the resolution is quite complex. Column material particle size and packing quality, pore size and pore size distribution, solvent viscosity, temperature and flow-rate, as well as sample concentration and other factors influence the mass transfer and, therefore, the resolution.
A measure for the resolution can either be the plate count, N, or (recommended for GPC/SEC) the specific resolution, Rsp. For the specific resolution the peak standard deviation (which is proportional to the peak width) and the slope of the calibration curve are required.
Investigating the Protective Effects of Frankincense Oil on Wound Healing with GC–MS
April 2nd 2025Frankincense essential oil is known for its anti-inflammatory, antioxidant, and therapeutic properties. A recent study investigated the protective effects of the oil in an excision wound model in rats, focusing on oxidative stress reduction, inflammatory cytokine modulation, and caspase-3 regulation; chemical composition of the oil was analyzed using gas chromatography–mass spectrometry (GC–MS).
Evaluating Natural Preservatives for Meat Products with Gas and Liquid Chromatography
April 1st 2025A study in Food Science & Nutrition evaluated the antioxidant and preservative effects of Epilobium angustifolium extract on beef burgers, finding that the extract influenced physicochemical properties, color stability, and lipid oxidation, with higher concentrations showing a prooxidant effect.
Rethinking Chromatography Workflows with AI and Machine Learning
April 1st 2025Interest in applying artificial intelligence (AI) and machine learning (ML) to chromatography is greater than ever. In this article, we discuss data-related barriers to accomplishing this goal and how rethinking chromatography data systems can overcome them.
