Predictive quantitative structure retention relationship models for ion-exchange chromatography
โ Scribed by C. B. Mazza; C. E. Whitehead; C. M. Breneman; S. M. Cramer
- Book ID
- 105594755
- Publisher
- Springer
- Year
- 2002
- Tongue
- English
- Weight
- 537 KB
- Volume
- 56
- Category
- Article
- ISSN
- 0009-5893
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## Abstract A simple and reproducible quantitative retentionโactivity relationship (QRAR) model utilizing biopartitioning micellar chromatography was developed for the biological parameter estimation of drugs. The correlation between retention factors of quinolones obtained in physiological conditi
Two types of models are postulated for deriving linear quantitative retention-structure models in gas chromatography (GC). They were tested by using GC retention indices for a series of 41 alkylbenzenes and 34 physico-chemical (e.g., boiling point) and calculable (topological, steric and electronic)