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Whitepaper

Exeter Analytical: CHN Determination of Air Sensitive, Hygroscopic or Volatile Samples

Exeter Analytical has developed a reliable sample preparation technique that enables accurate determination of the percentage Carbon (C), Hydrogen (H) and Nitrogen (N) in difficult to analyze volatile samples.

by Exeter Analytical

Exeter Analytical has developed a reliable sample preparation technique that enables accurate determination of the percentage Carbon (C), Hydrogen (H) and Nitrogen (N) in difficult to analyze volatile samples. The same sample preparation technique has been found to also generate excellent results from air sensitive and hygroscopic samples.

Knowledge of the CHN content of volatile petroleum products and lubricants can be useful in determining their performance characteristics. However, the CHN microanalysis of such volatile samples, especially those with high hydrogen content, requires careful sample handling, wide detector linearity and easy sample residue removal.

The sample preparation technique, described in technical report 233, involves cold weld sealing samples into heavy walled tin capsules under an inert atmosphere inside a glove box. This careful sample preparation technique together with controlled introduction of the sealed capsules into an Exeter Analytical Model 440 CHN analyzer is demonstrated to eliminate the problems associated with analysing air sensitive, hygroscopic and volatile samples.

For a copy of technical report 233 please contact Exeter Analytical at +44-2476-323223 / +1-978-251-1411 or email info@exeteranalytical.co.uk / sales@eai1.com.

Benefiting from a horizontal furnace design, the Exeter Analytical Model 440, 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 Model 440 are particularly beneficial to laboratories analyzing filtered environmental samples, organic sediments, volatile liquids and time-dependent combustible samples.