WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394

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  • Article
    Citation - WoS: 29
    Citation - Scopus: 34
    Preparation and Characterization of a Novel Diatomite-Based Composite and Investigation of Its Adsorption Properties for Uranyl Ions
    (Springer, 2019-07-20) Senol, Zeynep Mine; Arslan, Dilek Senol; Simsek, Selcuk; Şenol Arslan, Dilek
    In this research, Polyacrylamide-diatomite (PAA-D) composite was used as adsorbent for the efficient removal of uranyl ions from aqueous solution. The chemical and morphological properties of PAA-D composite were confirmed by several analysis. Batch experiments were performed as a function of solution pH, initial concentration, kinetic, thermodynamic and recovery. The maximum metal uptake capacity was found as 0.085 mol kg(-1). Kinetic data were best interpreted by a pseudo second order model. Thermodynamic findings showed that the adsorption process was exothermic, spontaneous and process with increased disorderliness at solid/solution interface. The recovery studies showed that PAA-D composite had good adsorption/desorption performance.
  • Article
    Citation - WoS: 6
    Citation - Scopus: 6
    Arsenic Removal From Aqueous Solutions by Ultrafiltration Assisted With Polyacrylamide: An Application of Response Surface Methodology
    (Taylor & Francis inc, 2015-10) Varol, Bekir; Uzal, Nigmet
    The present work deals with removal of arsenic from aqueous solutions by ultrafiltration assisted with polyacrylamide as an environmental friendly complexing polymer. The system performance was evaluated in relation to quality of permeate in terms of operating variables as feed concentration of arsenic ions (C-o, gL(-1)), ratio of polymer to arsenic (r, w/w), and pH of feed solution. The effect of the operating variables and maximum arsenic removal efficiency was determined by adopting design of experiments and response surface methodology under different conditions for this polymer. The experimental data were analyzed with a second order polynomial model validated by statistical analysis. Based on the response model developed, the maximum removal efficiency, close to 100%, of arsenic ions has been obtained at optimum operating parameters as C-o: 150 gL(-1), r: 2, and pH 10.