Thermal conductivity detection relative molar response factors for halogenated compounds

• Published in: Journal of Chromatography A Vol. 841; no. 2; pp. 187 - 195
• Main Authors: Height, M.J., Kennedy, E.M., Dlugogorski, B.Z.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 14-05-1999; Elsevier
• Subjects: Analytical chemistry; Chemistry; Chromatographic methods and physical methods associated with chromatography; Exact sciences and technology; Gas chromatographic methods; Halogenated compounds; Thermal conductivity detection; Halogenated compounds; Detection, GC; Relative molar response factors; Catharometer; Gas chromatography; Halogenated hydrocarbon; Prediction; Thermal conductivity detector; Detection; Experimental study; Quantitative analysis
• ISSN: 0021-9673
• DOI: 10.1016/S0021-9673(99)00365-9

Relative molar response (RMR) factors for the thermal conductivity detector have been determined for a number of halogenated compounds. The compounds investigated included seven gases, namely CHF
3, CBrF
3, CH
3Cl, CHClF
2, C
2HClF
4, C
3F
8 and C
4F
10, and seven liquids, 2,3-dichloro-1-propene, 1-chloro-2-methyl-1-propene, 1,1,1-trichloroethane,
m-dichlorobenzene, 1-bromo-3-chloropropane, 1-bromo-3-chloro-2-methylpropane and 2-bromopropane. Experimentally determined RMR values for these compounds were compared to theoretical predictions to examine the suitability of a predictive technique for halogenated compounds. Good agreement with predicted values has been found between both experimental and literature data, indicating that the predictive technique is applicable for halogenated species. The accuracy of the predictive technique is excellent for low-molecular-mass halogenated compounds, with the accuracy decreasing for molecules with more carbon atoms, molecules with iodine atoms and unsaturated halocarbons. An analysis of the relative errors associated with gas chromatographic quantification using assumed and predicted RMR factors was also undertaken. The predictive technique was found to provide a good estimation of RMR factors for compounds with limited response data.