Synthesis, Characterization and Optimum Reaction Conditions of Oligo-N-Salicylidenephenylhydrazone via Oxidative Polymerization

The oxidative polycondensation reaction conditions and optimum parameters of N-salicylidenephenylhydrazone (SPH) were determined using air, H2O2 and NaOCl as oxidants at a temperature range between 50 °C and 95 °C in an aqueous alkaline medium. The molecular structures of the obtained monomer and oligomer were confirmed by FT-IR, UV-Vis, 1H-NMR and elemental analyses. The characterization was fulfilled by TG-DTA, size exclusion chromatography (SEC) and solubility tests. The conversion of N-salicylidenephenylhydrazone into oligomer was performed using air, H2O2 and NaOCl as oxidants in an aqueous alkaline medium. According to SEC analysis, the number-average molecular weight (Mn), weight-average molecular weight (Mw) and polydispersity index (PDI) values of oligo-N-salicylidenephenylhydrazone (OSPH) obtained using NaOCl oxidant were found to be 1436 g mol-1, 1631 g mol-1 and 1.14, respectively. The conversion yield of N-salicylidenephenylhydrazone into oligo-N-salicylidenephenylhydrazone was 100% at optimum reaction conditions such as [SPH]0 = [KOH]0 = [H2O2]0 =0.06, mol/L and at 90 °C for 10 h. Also, according to TG-DTA analysis, oligo-N-salicylidenephenylhydrazone was shown to be thermally stable and resistant to thermo-oxidative decomposition. The weight loss of OSPH was found to be 20, 50 and 92.56% at 275°, 597° and 1000 °C, respectively

Comparing Equation of Exchange and Wage-Cost Mark-up Identity for Turkish Economy

In economic literature, Monetarists have argued that money growth over transactions growth would exactly cause the same growth in the price level. In contrast, Weintraub, one of the leading economists of the Post Keynesian School has believed that the effect of the money supply on the price level is not direct. The aim of this study is to empirically investigate and to compare the arguments of Monetarists and Post Keynesians on the inflation for the case of Turkey. The data used in the study are annual and cover the period of 1990-2013. In this study, the equations implied by both Schools were compared to each other in terms of their predictive powers, their statistical robustness and the validity of the hypotheses provided by them. In a result, strong support was found for WCMI especially in terms of its predictive power