The study aimed to evaluate the antimicrobial activity using different concentrations of aqueous and alcoholic extracts of dried lemongrass leaves. Chemical phytochemical tests were performed for aqueous and alcoholic extracts of lemongrass. Antimicrobials activity was tested using agar disc diffusion method against Escherichia coli and Staphylococcus aureus. The results of the study showed that the aqueous extract of dried lemon leaves was highly effective (P≤0.05) against S. aureus, as the inhibition diameter was 22 mm for 50 dilution, while the inhibition diameter decreased to 15 mm for concentration 100. As for the alcoholic extract only, the diameter of inhibition decreased significantly (P≤0.05) as it was 16 mm for 50 dilution, and the diameter of inhibition decreased significantly (P≤0.05) to 8 mm for concentration 100 for S. aureus as well. The results of the study also showed that the effect of the alcoholic extract of lemongrass against E. coli was high, as the inhibition diameter was 20 mm for dilution 50, and a significant decrease (P≤0.05) fell to 12 mm for concentration 100. While the results of the study showed that the effect of alcoholic extract of lemongrass against E. coli the diameter of the inhibition was 14 mm for the dilution of 50, and it decreased significantly (P≤0.05) to zero for the concentration of 100. From all of that, we conclude that both the aqueous and alcoholic extract.
This study aimed to extraction of essential oil from peppermint leaves by using hydro distillation methods. In the peppermint oil extraction with hydro distillation method is studied the effect of the extraction temperature to the yield of peppermint oil. Besides it also studied the kinetics during the extraction process. Then, 2nd -order mechanism was adopted in the model of hydro distillation for estimation many parameters such as the initial extraction rate, capacity of extraction and the constant rat of extraction with various temperature. The same model was also used to estimate the activation energy. The results showed a spontaneous process, since the Gibbs free energy had a value negative sign.
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Schiff bases (SBs) based on amino acid derivative stand for multipurpose ligands that formed by condensing amino acids with carbonyl groups. They are significant in pharmaceutical and medical areas due to their widespread biological actions such as antiseptic, antifungal, along with antitumor actions. Transition metallic complexes resulting from SB ligands with biological activity were extensively experimented in the literature. In this article, we review, in details, about synthesizing and biological performances of SBs along with its complexes.
This study includes the synthesis of new derivatives of 1, 2, 4- Triazole which are contain Schiff bases derived from 1, 4, 5, 6- tetrahydropyrimidine. The structures of these derivatives were characterized from their melting points, infrared spectroscopy and elemental analysis. These derivatives were tested for inhibition of E-coli and were all found to be active
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Serum Creatine Kinase (SCK) activity was investigated in hyper
and hypqtbyroidim objects. Estimated Levels were compared with
healty controls.
Optimizat.im of SCK. activity has. been achieved using 0.95 mJ of
the Semtl.l and 25 m mol/L of -the subslratet creatitie phosphate . Reaction mixture was incubated at 37C for 1 0 minutes . Data obtained were r:cflects an elevation in the enzme activity in hyperthyroidism objec. Determination of the physical parameters (Vma-x and Km). were ol-,tained applying lit1eweaver- l3:urk Plot analysis. All detemi
... Show MoreThe research is an anatomical study for the stem and leaves of Galium aparine
L.The nodal anatomy was carefully investigated ,by the cross sections at the node
provide that what was called "cyclic arrangement" of leaves is in fact includes just
two opposite leaves which take their vascularization from the stele by two leaf
traces.The rest four leaf- like appendages on the node are stipules ,and take their
vascularization from the vascular ring which bond the two opposite leaves,and
refered for some morphological and anatomical characters of the plant species in this
work.
The research involves preparing gold nanoparticles (AuNPs) and studying the factors that influence the shape, sizes and distribution ratio of the prepared particles according to Turkevich method. These factors include (reaction temperature, initial heating, concentration of gold ions, concentration and quantity of added citrate, reaction time and order of reactant addition). Gold nanoparticles prepared were characterized by the following measurements: UV-Visible spectroscopy, X-ray diffraction and scanning electron microscopy. The average size of gold nanoparticles was formed in the range (20 -35) nm. The amount of added citrate was changed and studied. In addition, the concentration of added gold ions was changed and the calibration cur
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The research concern about the conceptual framework of crisis in the strategic view has become to mean opportunity to change not threat only. The research explains the multi stages of crisis & its characteristics that are difference from catastrophe and disaster. We rely on two criteria of classification of crisis (predictability & influence possibilities). Also there are sub crises with the main crisis; the important one is the Maida Crisis which is related with the informational dimension & the Psychological Crisis which is related with the Human dimension or the victim management. The current research aimed to develop crises management strategy according to Islamic perspective based on model of ( Augustine, 1995).&
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Facial emotion recognition finds many real applications in the daily life like human robot interaction, eLearning, healthcare, customer services etc. The task of facial emotion recognition is not easy due to the difficulty in determining the effective feature set that can recognize the emotion conveyed within the facial expression accurately. Graph mining techniques are exploited in this paper to solve facial emotion recognition problem. After determining positions of facial landmarks in face region, twelve different graphs are constructed using four facial components to serve as a source for sub-graphs mining stage using gSpan algorithm. In each group, the discriminative set of sub-graphs are selected and fed to Deep Belief Network (DBN) f
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