Metal Complexes of Schiff Bases Derived from 2-Thiophenecarboxaldehyde and Mono/Diamine as the Antibacterial Agents
Mohammad Nasir Uddin,
Didarul Alam Chowdhury,
Md. Moniruzzman Rony,
Md. Ershad Halim
Issue:
Volume 2, Issue 2, April 2014
Pages:
6-14
Received:
22 April 2014
Accepted:
13 May 2014
Published:
30 May 2014
Abstract: The Schiff bases, formed by condensation of 2-thiophenecarboxaldehyde with 2-aminothiophenol (LH) and propane-1,2-diamine (L1), and their complexes of Ni(II), Cu(II), Zn(II) and Cd(II) have been prepared and characterized by elemental analysis, and magnetic and spectroscopic measurements. Infrared and NMR spectra of the complexes agree with the coordination to the central metal atom through the nitrogen of the azomethine (-HC=N-) group and the sulfur atom of the thiophene ring. Magnetic susceptibility data coupled with electronic suggest octahedral structure for the complexes. Conductance measurements suggest the non-electrolytic nature of the complexes. Stoichiometry of complexes has been suggested as [M(L)2] and [ML1Cl2]. The Schiff base and its metal chelates have been screened for their in vitro antibacterial activity against four human pathogenic bacteria. Ligands show moderately whereas some of metal chelates show highly antibacterial activity against them.
Abstract: The Schiff bases, formed by condensation of 2-thiophenecarboxaldehyde with 2-aminothiophenol (LH) and propane-1,2-diamine (L1), and their complexes of Ni(II), Cu(II), Zn(II) and Cd(II) have been prepared and characterized by elemental analysis, and magnetic and spectroscopic measurements. Infrared and NMR spectra of the complexes agree with the coo...
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Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks
Yahya Hassanzadeh-Nazarabadi,
S. Majed Modaresi,
S. Bahram Jafari,
Sanaz Taheri-Boshrooyeh
Issue:
Volume 2, Issue 2, April 2014
Pages:
15-18
Received:
26 April 2014
Accepted:
26 May 2014
Published:
30 May 2014
Abstract: So far the methods used to predict or calculate the melting point of organic compunds do not focus on the compound nature, they mostly use microscopic physio-chemical properties of materials. In this paper the disadvantage of such traditional methods will be defined. Then a new method is introduced. This method uses the nature properties of compounds to estimate their melting point based on an artificial neural network and offsets the disadvantges of pervious ones.
Abstract: So far the methods used to predict or calculate the melting point of organic compunds do not focus on the compound nature, they mostly use microscopic physio-chemical properties of materials. In this paper the disadvantage of such traditional methods will be defined. Then a new method is introduced. This method uses the nature properties of compoun...
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