Providing Security to User Confidentiality Data in Large Scale Networks

Authors(2) :-Dharavath Champla, Yasaram Ganesh

A new series of transition metal complexes of Cu(II), Ni(II) and VO(II) have been synthesized from the Schiff base (L) derived from 5- iodosalicylaldehyde and 3,3’,4,4’-tetraminobiphenyl. Structural features were obtained from their spectral and analytical data. The data show that these complexes have composition of [M2(L)]X type. (where M = (Cu(II), Ni(II), and VO(II) X=ClO4-, SO42- L = binucleating tetradendate ligand). The spectral data of the complexes suggest a square–planar geometry around the central metal ion except VO(II) complex which has square–pyramidal geometry. The redox behavior of copper and vanadyl complexes was studied by cyclic voltammetry. The pUC18 DNA cleavage study was monitored by gel electrophoresis method. The results suggest that binuclear Cu(II), Ni(II) and VO(II) complexes cleaves pUC18 DNA in presence of the oxidant H2O2. The invitro antimicrobial activities of the synthesized compounds have been tested against the gram negative and gram positive bacteria’s. The binuclear Schiff base complexes were found to be higher antibacterial activity than the free ligand.

Authors and Affiliations

Dharavath Champla
Assistant Professor, Computer Science and Engineering, Christu Jyoti Institute of Technology & Science, Jangaon, Telangana, India
Yasaram Ganesh
Assistant Professor, Computer Science and Engineering, Christu Jyoti Institute of Technology & Science, Jangaon, Telangana, India

3,3’,4,4’-tetraminobiphenyl,Schiff base, binuclear, Antimicrobial, CT-DNA.

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Publication Details

Published in : Volume 1 | Issue 3 | July-August 2015
Date of Publication : 2015-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 176-180
Manuscript Number : IJSRST1738109
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Dharavath Champla, Yasaram Ganesh, " Providing Security to User Confidentiality Data in Large Scale Networks", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 1, Issue 3, pp.176-180, July-August-2015.
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