Analysis of coal tar and petroleum pitches by computerized pattern recognition

✍ Scribed by Moncur, J. G. ;Bradshaw, W. G.

• Publisher: John Wiley and Sons
• Year: 1983
• Tongue: English
• Weight: 532 KB
• Volume: 6
• Category: Article
• ISSN: 0935-6304
• DOI: 10.1002/jhrc.1240061103

✦ Synopsis

Pyrolysis gas chromatography (P/GC) has been successful in differentiating coal tar pitches which are used in the manufacture of high temperature graphite materials [1,2]. In the present study, coal tar and petroleum pitches received from five suppliers were readily differentiated using three distinct methods of polymer analysis: dynamic headspace and pyrolysis gas chromatography mass spectrometry (DH/GC/MS and P/GC/MS, [3]), and pyrolysis mass spectrometry (P/MS, [4,5]).

All of these methods are appropriate for the analysisand pattern recognition study of coal and petroleum products; however, methods which incorporate GC usually necessitate long analysis times and are subject to problems associated with gas chromatographic reproducibility (e.g. active sites [6], and nonconstant retention times). As a fingerprint analysis method, P/MS is rapid and ideally suited to computerized pattern recognition study of pitches due to the simple format of P/MS data (computer tabulation of normalized intensities versus masses); whereas, in the present study, the normalized peak