Classification and Prediction of Retention Indices in One-Dimensional Capillary Gas Chromatographic Separation of Petroleum Hydrocarbons
β Scribed by Nagy Emam Moustafa; Kout El kloub Fars Mahmoud
- Book ID
- 111792146
- Publisher
- Springer
- Year
- 2010
- Tongue
- English
- Weight
- 636 KB
- Volume
- 72
- Category
- Article
- ISSN
- 0009-5893
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The gas chromatographic separation of a mixture of some polycyclic aromatic hydrocarbons (PAHs) and their nitro derivatives (nitro-PAHs) was studied onan SE-30 quartz capillary column under various temperature-programmed and isothermal operating conditions. The relative retention data and the Kovats
Quantitative structure-retention relationship (QSRR) models correlating the retention times of fatty acid methyl esters in high resolution capillary gas chromatography and their structures were developed based on non-linear and linear modeling methods. Genetic algorithm (GA) was used for the selecti