{"title":"Photocatalytic Degradation and Antibacterial Study of Copper(II) Mustard Thiourea Complex","authors":"Vandana Sukhadia, Rashmi Sharma, Asha Meena","doi":"10.2174/1877946810666200221122053","DOIUrl":null,"url":null,"abstract":"\n\nThe aim of this research work is to synthesise, study and analyse\nphotocatalytic degradation, kinetics.\n\n\n\nCopper(II) mustard thio urea complex has been synthesized and\ncharacterized through FT-IR, NMR, ESR studies.\n\n\n\nPhotocatalytic degradation of copper(II) mustard thio urea complex was studied\nin the presence of ZnO as a catalyst in the solution form, using a non polar solvent benzene\nand a polar solvent methanol with different compositions. Antibacterial activities of\ncopper(II) complex have also been studied against Staphylococcus aureus.\n\n\n\nO.D. was measured after different time intervals spectrophotometrically to\nmeasure the degradation of the complex.\n\n\n\nPlot of 2+ log O.D. (absorbance) versus time was plotted and found to be linear.\nThe heterogeneous photocatalysis followed pseudo-first-order reaction kinetics. The present\nstudy suggests that the CMT complex shows antibacterial activity at different concentrations.\n\n\n\nThe rate of photocatalytic degradation of CMT complex was studied and analyzed.\nIt has been found that the rate of degradation varies with different parameters like\nthe concentration of complex, the amount of catalyst, light intensity, solvent polarity etc.\nThe CMT complex derived from natural mustard oil has shown an inhibitory effect on the\ngrowth of S. aureus which may cause skin diseases.\n","PeriodicalId":10513,"journal":{"name":"Combinatorics, Probability & Computing","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Combinatorics, Probability & Computing","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.2174/1877946810666200221122053","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 1
Abstract
The aim of this research work is to synthesise, study and analyse
photocatalytic degradation, kinetics.
Copper(II) mustard thio urea complex has been synthesized and
characterized through FT-IR, NMR, ESR studies.
Photocatalytic degradation of copper(II) mustard thio urea complex was studied
in the presence of ZnO as a catalyst in the solution form, using a non polar solvent benzene
and a polar solvent methanol with different compositions. Antibacterial activities of
copper(II) complex have also been studied against Staphylococcus aureus.
O.D. was measured after different time intervals spectrophotometrically to
measure the degradation of the complex.
Plot of 2+ log O.D. (absorbance) versus time was plotted and found to be linear.
The heterogeneous photocatalysis followed pseudo-first-order reaction kinetics. The present
study suggests that the CMT complex shows antibacterial activity at different concentrations.
The rate of photocatalytic degradation of CMT complex was studied and analyzed.
It has been found that the rate of degradation varies with different parameters like
the concentration of complex, the amount of catalyst, light intensity, solvent polarity etc.
The CMT complex derived from natural mustard oil has shown an inhibitory effect on the
growth of S. aureus which may cause skin diseases.
期刊介绍:
Published bimonthly, Combinatorics, Probability & Computing is devoted to the three areas of combinatorics, probability theory and theoretical computer science. Topics covered include classical and algebraic graph theory, extremal set theory, matroid theory, probabilistic methods and random combinatorial structures; combinatorial probability and limit theorems for random combinatorial structures; the theory of algorithms (including complexity theory), randomised algorithms, probabilistic analysis of algorithms, computational learning theory and optimisation.