Claiming unmatched accuracy and precision, low costs and flexibility, Exeter Analytical says its CE-440 has established itself as the CHN elemental analyser of choice for universities worldwide
Determination of the carbon, hydrogen and nitrogen content is a widely used analytical technique to confirm the composition and/or purity of an unknown sample.
A key requirement for CHN analysis in many university laboratories is for optimal accuracy and precision across a wide range of sample types.
The model CE-440 is a fully automated CHN/O/S elemental analyser designed to give accurate, reliable results, over the widest range of sample types presented for analysis.
Proven in independent tests to provide unmatched operating accuracy and precision, the CE-440 delivers simultaneous CHN analysis in less than five minutes - increasing laboratory productivity.
The CE-440 uses thermal conductivity detection to measure carbon, hydrogen and nitrogen, after combusting and reducing a sample.
Inherently more stable than gas chromatographic based systems the CE-440 delivers superior performance and sampling precision over the wide range of sample types faced by a typical university laboratory.
Benefiting from a horizontal furnace design, it allows analysts to routinely and simply produce accurate and precise data on wide ranging sample types without system re-optimisation, saving precious time and reducing running costs.
The advantages of the Exeter CE-440 horizontal furnace design are particularly beneficial to university laboratories analysing filtered environmental samples, organic sediments, volatile liquids and time-dependent combustible samples.
Low gas and reagent consumption combined with high reduction tube life allow the CE-440 to deliver some of the lowest operating costs of any CHN elemental analyser available.
Intuitive Windows based operating software reduces human errors through incorporation of extensive automation, comprehensive customer help and diagnostic facilities.
Most parts on the model CE-440 are user replaceable further reducing operating costs and downtime.
