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jih-2899
Preparation, Structural Characterization and Biological Activities of Curcumin-Metal(II)-L-3,4-dihydroxyphenylalanin (L-dopa) complexes
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In the present work, a first-row divalent d-transition metal obtained from curcumin(Curc)  and L-3,4-dihydroxyphenylalanin(L-dopa)have been synthesized which their complexes and characterized by  C.H.N, conductance, spectral methods: FT-IR, Ultra–Visible. Magneto-chemical measurements, molar conductance ΛM (1×10−3 mol/L in DMSO):36- 0.84 ohm-1.cm2.mol-1 (non-electrolyte).

The data shows that the complexes have the structure [M((II))-(Curc)-(L-dopa)] system. Electronic and magnetic data suggest an octahedral geometry for all complexes in which the (L-dopa) and curcumin act as bidentate ligands.

Curcumin coordinated to the metal ions M (II) through the lone pair of electrons of oxygen in 2(C=O) groups. The (L-dopa) coordinated to M (II) as a mono negative bidentate ligand through the oxygen atom of the carboxylate and the (N), atom of the (-NH2) groups.

   The general formula  was given for the prepared mixed ligand complexes as [M (Cur)(L-dopa)2 ].  M= Mn  (II), Fe (II),Co(II),Ni(II),Cu (II), Zn(II), Cd(II) and Hg(II).The ligands and their metal complexes were screened for their antimicrobial activity klebsiella pneumonie,and  Staphylococcus aureus, and Candida albicans. Metal chelates showed very good antimicrobial activity than their parent curcumin-and (L- dopa).

 

 

We have given the general formula for the prepared mixed ligand complexes as [M (Cur)(L-dopa)2].M= Mn  (II), Fe (II),Co(II)  ,Ni(II),Cu (II), Zn(II), Cd(II) and Hg(II).The ligands and their metal complexes were screened for their antimicrobial activity klebsiella pneumonie,and  Staphylococcus aureus, and Candida albicans. Metal chelates show very good antimicrobial activity than their parent Curcumin-and (L- dopa).

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Publication Date
Wed Apr 25 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution
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        In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through  Monte Carlo simulation technique were made depend on mean squared error (MSE)  criteria

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Publication Date
Sat Oct 01 2016
Journal Name
Journal Of Theoretical And Applied Information Technology
Factors affecting global virtual teams’ performance in software projects
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