Application of Polymer and Supported Membranes with 1-Decyl-4-Methylimidazole for Pertraction of Transition Metal Ions

Abstract

The facilitated transport of Zn(II), Cd(II), Co(II), and Ni(II) ions from different aqueous chloride source phases (c Me = 0.001 mol/dm 3 , pH = 6.0) across supported (SLMs) and polymer inclusion membranes (PIMs) doped with 1-decyl-4-methylimidazole as ion carrier was reported. The membrane is characterized by means of atomic force microscopy (AFM). The results show that Zn(II) can be separated very effectively from other transition metal cations as Cd(II), Co(II), and Ni(II) from different equimolar mixtures of such ions. The higher initial fluxes for Zn(II) were found for PIM (3.62-4.10 µmol/m 2 .s), while the lower values were observed for SLM. However, after taking into account the morphology (porosity, tortuosity) of the membranes, the values of the initial flux of Zn(II) transport across the PIM are lower than those across the SLM. The recovery factor of Zn(II) ions during transport across PIM and SLM from different mixtures of cations is above 95% after 24 hrs. PIM containing 1-decyl-4-methylimidazole are stable for 120 hrs.Keywords polymer inclusion membrane (PIM); supported liquid membrane (SLM); separation of metal ions; imidazole derivatives INTRODUCTIONSupported liquid membranes (SLM) and polymer inclusion membranes (PIM) represent an attractive liquid-to-liquid extraction for the selective removal and concentration of nonferrous metal ions (Zn(II), Co(II), Ni(II), Cd(II), Cu(II), and Pb(II)) from aqueous solutions. The transport of such metal ions across SLM and PIM can be described as the simultaneous extraction and back-extraction operations combined in

Recovery of Zinc from Metallurgic Waste Sludges

“…1-Decyl-2-methylimidazole was used as the carrier of non-ferrous ions across polymeric inclusion membranes [23].…”

The Smoothed Bootstrap Fine-Tuning

“…industrial management (Maszke et al, 2018), materials science (Pietraszek and Gadek-Moszczak, 2013;Novy, 2016, Ulewicz et al, 2016;Dudek et al, 2017;Pietraszek et al, 2017;Jambor et al, 2018;Radek et al, 2018), especially supported by an image analysis (Gadek-Moszczak, 2017;Gadek-Moszczak and Matusiewicz, 2017), even in biomaterials (Gadek-Moszczak et al, 2015), hydraulic machines design (Pobedza and Sobczyk, 2013a;Pobedza and Sobczyk, 2013b;Guzowski and Sobczyk, 2014;Walczak and Sobczyk, 2014) and corrosion protection (Klimecka-Tatar, 2016). It may be also very useful in power industry (Dwornicka, 2014), chemical industry (Ulewicz and Radzyminska-Lenarcik, 2014;Gnatowski et al, 2018) or pharmaceutical and biotechnology industry (Skrzypczak- Pietraszek, 2016;Skrzypczak-Pietraszek et al, 2018b), where phytochemistry investigation (Skrzypczak- Pietraszek and Pietraszek, 2009;Skrzypczak-Pietraszek et al, 2017) are conducted with a huge random noise from individual differences in plant reactions.…”

Tpm Safety Impact – Case Study

“…The approach, similar to the one presented in this article, can also be very useful both in other branches of industry as well as in the research area. It seems that may successfully applied in metallurgy Salek and Klimecka-Tatar, 2016), materials science (Korzekwa et al, 2014;Ulewicz and Novy, 2016;Korzekwa et al, 2018), chemistry (Ulewicz and Radzyminska-Lenarcik, 2014;Ulewicz and Radzyminska-Lenarcik, 2015), machining (Radek et al, 2017a;Radek et al, 2017b;Pietraszek et al, 2017;Radek et al, 2018), even supported by an image analysis methods (Gadek et al, 2006;Gadek-Moszczak, 2017;Gadek-Moszczak and Matusiewicz, 2017), and especially in very environment-sensitive biotechnology (Skrzypczak- Pietraszek, 2016;Skrzypczak-Pietraszek et al, 2018a;Skrzypczak-Pietraszek et al, 2018b). It would be very interesting to include a fuzzy description of the problem (Fabis-Domagala et al, 2018;Filo et al, 2018), which allows you to express uncertainty about the process.…”