๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Prediction of chromatographic relative retention time of polychlorinated biphenyls from the molecular electronegativity distance vector

โœ Scribed by Shu-Shen Liu; Yan Liu; Da-Qian Yin; Xiao-Dong Wang; Lian-Sheng Wang


Book ID
102924438
Publisher
John Wiley and Sons
Year
2006
Tongue
English
Weight
657 KB
Volume
29
Category
Article
ISSN
1615-9306

No coin nor oath required. For personal study only.

โœฆ Synopsis


Prediction of chromatographic relative retention time of polychlorinated biphenyls from the molecular electronegativity distance vector

Using the molecular electronegativity distance vector (MEDV) descriptors derived directly from the molecular topological structures, the gas chromatographic relative retention times (RRTs) of 209 polychlorinated biphenyls (PCBs) on the SE-54 stationary phase were predicted. A five-variable regression equation with the correlation coefficient of 0.9964 and the root mean square errors of 0.0152 was developed. The descriptors included in the equation represent degree of chlorination (n Cl ), nonortho index (I no ), and interactions between three pairs of atom types, i. e., atom groups -C= and -C=, -C= and AC=, -C= and -Cl. It has been proved that the retention times of all 209 PCB congeners can be accurately predicted as long as there are more than 50 calibration compounds. In the same way, the MEDV descriptors are also used to develop the five-or six-variable models of RRTs of PCBs on other 18 stationary phases and the correlation coefficients in both modeling stage and LOO cross-validation step are not lower than 0.99 except two models.


๐Ÿ“œ SIMILAR VOLUMES


3D-modelling and prediction by WHIM desc
โœ P Gramatica; N Navas; R Todeschini ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 168 KB

Physico-chemical properties of polychlorinated biphenyls PCBs congeners have been extensively studied searching for ลฝ . quantitative structure-property relationships QSPR . The chemical description of PCBs structure is made in terms of WHIM descriptors, which are 3D molecular descriptors taking into