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QSPR Study of the Absorption Maxima of Azobenzene Dyes
Xu, Jie,Wang, Lei,Liu, Li,Bai, Zikui,Wang, Luoxin Korean Chemical Society 2011 Bulletin of the Korean Chemical Society Vol.32 No.11
A quantitative structure-property relationship (QSPR) study was performed for the prediction of the absorption maxima of azobenzene dyes. The entire set of 191 azobenzenes was divided into a training set of 150 azobenzenes and a test set of 41 azobenzenes according to Kennard and Stones algorithm. A seven-descriptor model, with squared correlation coefficient ($R^2$) of 0.8755 and standard error of estimation (s) of 14.476, was developed by applying stepwise multiple linear regression (MLR) analysis on the training set. The reliability of the proposed model was further illustrated using various evaluation techniques: leave-many-out crossvalidation procedure, randomization tests, and validation through the test set.
Transformations of phenol into fuel over TiO2–CeO2/ZSM-5 aided by ultrasound and ultraviolet
Lei Wang,Fang yuan,Luoxin Liu,Nchare Mominou,Shuzhen Li,Cheng Li,Wenjiu Wang 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1
A novel technology, named transformations of phenol into fuel over TiO2–CeO2/ZSM-5 aided byultrasound and ultraviolet (TPFU), was developed. ZSM-5 zeolite was adjusted by TiO2 and CeO2 bymeans of impregnation. X-ray diffraction (XRD) and scanning electron microscope (SEM) analysisindicated the ZSM-5 remained intact after modification, and the titanium and cerium partly entered thecatalyst channel. The effect of temperature, pressure, space speed, and phenol to the catalyst ratio on theproduction yield was studied. The model compounds were transformed into fuel on the conditions oftemperature 300 8C; pressure 0.11 MPa, space velocity 1.0 h 1, and the ratio 1.5. Gasoline and diesel oilyield, and phenol compound conversion rate reached the maximum values of 50.1%, 44.1% and 98.5%,respectively. Meanwhile, biomass oil was transformed into fuel under the best conditions. The content ofaromatic compounds and alkane compounds in refined oil was higher than that in biomass crude oil, andphenol content has a significant decrease.
QSPR Study of the Absorption Maxima of Azobenzene Dyes
Jie Xu,Lei Wang,Li Liu,Zikui Bai,Luoxin Wang 대한화학회 2011 Bulletin of the Korean Chemical Society Vol.32 No.11
A quantitative structure-property relationship (QSPR) study was performed for the prediction of the absorption maxima of azobenzene dyes. The entire set of 191 azobenzenes was divided into a training set of 150azobenzenes and a test set of 41 azobenzenes according to Kennard and Stones algorithm. A seven-descriptor model, with squared correlation coefficient (R2) of 0.8755 and standard error of estimation (s) of 14.476, was developed by applying stepwise multiple linear regression (MLR) analysis on the training set. The reliability of the proposed model was further illustrated using various evaluation techniques: leave-many-out crossvalidation procedure, randomization tests, and validation through the test set.