Browsing by Author "Ali Eslem Kadak"

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    An Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey
    (2018-03-01) Semih Kale; Adem Yavuz Sonmez; Rahmi Can Ozdemir; Ali Eslem Kadak
    Water quality is one of the main characteristics of a river system and prediction of water quality is the key factor inwater resource management. Different physical, biological and chemical parameters including heavy metals can be used toassess river water quality. Evaluation of the water quality in the rivers is quite difficult and requires more time and effortbecause of the fact that many factors affect water quality. Traditional data processing methods are insufficient to solve thisproblem. Therefore, in this study, an adaptive neuro-fuzzy inference system (ANFIS) model was developed to predict theconcentrations of cadmium (Cd) in the Filyos River, Turkey. For this purpose, water samples collected at 7 sampling locationsin the river during December 2014-2015 were used to develop ANFIS model. The available data set was apportioned into twoseparate sections for training and testing the ANFIS model. Developed models aimed to use the least parameters to estimateCd concentration. As a result, a relatively higher correlation (R2=0.91) was found between observed and modelled Cdconcentrations. The results indicated that the ANFIS model gave reasonable estimates for the concentrations of Cd with a highdegree accuracy and robustness. In conclusion, this paper suggests that ANFIS methodology produce very successful findingsand has the ability to predict Cd concentration in water resources. The outcomes of this research provide more information,simulation, and prediction about heavy metal concentration in natural aquatic ecosystems. Therefore, ANFIS can be used infurther researches on water quality monitoring.
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    Antibacterial Activity of Chitosan, Some Plant Seed Extracts and Oils Against Escherichia coli and Staphylococcus aureus
    (2020-12-01) Ali Eslem Kadak; Mohammed Omar Abdalla Salem
    In this present study, various concentrations (0.5, 1, and 2%) of chitosan extracted through the chemical methods from the shells of crayfish (Astacus leptodactylus), pink shrimp (Parapenaeus longirostris), blue crab (Callinectes sapidus) shells, methanolic extracts of black cumin (Nigella sativa L), flaxseed (Linum usitatissimum), Chaste Tree (Vitex agnus-castus L.) and black cumin and flaxseed oil were tested in vitro for their antibacterial activities against two pathogenic bacteria Escherichia coli and Staphylococcus aureus, using the disk diffusion method. On the other hand, were Erythromycin and florfenicol were used as a positive control. The negative control was Acetic Acid and cotton oil. Antimicrobial activity of chitosan is affected by different intrinsic and extrinsic factors. Chitosan source, molecular weight, deacetylation degree, viscosity, and solvent material, pH, ionic strength, metal ions, and bacteria cultures. In the present study, all four extracted chitosans were showed different antimicrobial effects on two different types of bacteria, while there are not any antibacterial effect of aqueous extracts and oils of the three plants seeds that used in this study. This is the first report concerning the antimicrobial activity of chitosan compared to some plant seed extracts and oils against Escherichia coli and Staphylococcus aureus. Furthermore, results showed the chitosan of this species might be an alternative as an antimicrobial agent for the pharmaceutical industry.