Since we were founded in 2016, we’ve been helping analytical chemists discover more about their samples and deliver more in terms of productivity, by providing them with the latest in GC and GC×GC equipment, accessories, software and expertise.
Our facilities in Peterborough (UK), Offenbach am Main (Germany) and Waterloo (Canada), are fitted with the latest sample preparation and detection equipment for GC and GC×GC, enabling us to rapidly develop customer applications and demonstrate equipment setups.
We started our operations in Peterborough, UK, and this remains our headquarters today, but we’ve also set up facilities in Germany and Canada that allow us to run workshops and demonstrate our products to a global audience.
Illustrating this, our expertise is used by labs and scientists around the world, from blue-chip car and food manufacturers to government environmental agencies. We always keep on top of the latest trends in analysis, be they in well-established fields such as petrochemical analysis and aroma profiling, or new, rapidly-evolving areas of study such as biomarker discovery and cannabis profiling.
SepSolve Analytical is part of Schauenburg Analytics Ltd, which itself is part of the Schauenburg International Group, a family-owned technology business with more than 30 sites worldwide.
Schauenburg Analytics Ltd includes Markes International – the world-leading manufacturer of thermal desorption instruments and other front-end GC equipment. By sharing our technological expertise in sample preparation, gas chromatography, mass spectrometry and software, we’re able to meet the challenges of the entire workflow, as well as offering product packages tailored to the needs of individual laboratories.
With many years of experience in the field and access to the best instrumentation that the industry can offer, we’re very well-placed to tackle the most difficult challenges in analytical science – from obtaining new insights into aroma-active terpene isomers in cannabis extracts, to achieving high-throughput detection of biomarkers in highly complex biomedical samples.
