Abstract:or toxicological symptoms and all the birds remained healthy throughout the study. Feed consumption was significantly reduced at the 300 g/ton level and the birds in this group ended th$ medication period gaining 60% as much weight as the control group. There were no discernible differences in the quality of the eggs or the egg shell.
“…8.95 g of pure 1c (21.2 mmol, 92%) was obtained as a white solid by column chromatography on silica gel using dichloromethane as the eluent. 1 3284,1539,1361,1198,1180,1162,1131,1085,833,698,614,588,540,493, 428 cm À1 . Anal.…”
Section: 3mentioning
confidence: 99%
“…Since the discovery of Prontosil in 1932, a great deal of benzenesulfonylamides have been synthesized and found effective for the treatment of bacterial infections [1]. Common alkanesulfonylamides, however, found little application in the pharmaceutical or agrochemical area at that time [1].…”
Section: Introductionmentioning
confidence: 99%
“…Common alkanesulfonylamides, however, found little application in the pharmaceutical or agrochemical area at that time [1]. When fluorine was introduced into these common alkanesulfonylamides, their biological activity was satisfactorily improved [1][2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…Common alkanesulfonylamides, however, found little application in the pharmaceutical or agrochemical area at that time [1]. When fluorine was introduced into these common alkanesulfonylamides, their biological activity was satisfactorily improved [1][2][3][4]. For example, Trepka and Moore found that fluorinated N-phenylalkanesulfonylamides showed potent herbicidal and anti-inflammatory activities in 1970s [2][3][4].…”
“…8.95 g of pure 1c (21.2 mmol, 92%) was obtained as a white solid by column chromatography on silica gel using dichloromethane as the eluent. 1 3284,1539,1361,1198,1180,1162,1131,1085,833,698,614,588,540,493, 428 cm À1 . Anal.…”
Section: 3mentioning
confidence: 99%
“…Since the discovery of Prontosil in 1932, a great deal of benzenesulfonylamides have been synthesized and found effective for the treatment of bacterial infections [1]. Common alkanesulfonylamides, however, found little application in the pharmaceutical or agrochemical area at that time [1].…”
Section: Introductionmentioning
confidence: 99%
“…Common alkanesulfonylamides, however, found little application in the pharmaceutical or agrochemical area at that time [1]. When fluorine was introduced into these common alkanesulfonylamides, their biological activity was satisfactorily improved [1][2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…Common alkanesulfonylamides, however, found little application in the pharmaceutical or agrochemical area at that time [1]. When fluorine was introduced into these common alkanesulfonylamides, their biological activity was satisfactorily improved [1][2][3][4]. For example, Trepka and Moore found that fluorinated N-phenylalkanesulfonylamides showed potent herbicidal and anti-inflammatory activities in 1970s [2][3][4].…”
“…In addition, measurements obtained from other literature sources were also added. In case of MP , 19 data points from Trepka et al.,27 7 data points from Gajewski et al 28. and 13 from Platonov et al 29.…”
Quantitative structure property relationship (QSPR) studies on per- and polyfluorinated chemicals (PFCs) on melting point (MP) and boiling point (BP) are presented. The training and prediction chemicals used for developing and validating the models were selected from Syracuse PhysProp database and literatures. The available experimental data sets were split in two different ways: a) random selection on response value, and b) structural similarity verified by self-organizing-map (SOM), in order to propose reliable predictive models, developed only on the training sets and externally verified on the prediction sets. Individual linear and non-linear approaches based models developed by different CADASTER partners on 0D-2D Dragon descriptors, E-state descriptors and fragment based descriptors as well as consensus model and their predictions are presented. In addition, the predictive performance of the developed models was verified on a blind external validation set (EV-set) prepared using PERFORCE database on 15 MP and 25 BP data respectively. This database contains only long chain perfluoro-alkylated chemicals, particularly monitored by regulatory agencies like US-EPA and EU-REACH. QSPR models with internal and external validation on two different external prediction/validation sets and study of applicability-domain highlighting the robustness and high accuracy of the models are discussed. Finally, MPs for additional 303 PFCs and BPs for 271 PFCs were predicted for which experimental measurements are unknown.
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