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   experimental investigation on co2 and ch4 gas separation using speek/pva/zno polymer nanocomposite membranes for greenhouse gas emissions reduction and environmental improvement  
   
نویسنده bahreini ahmad ,ghadi arezoo ,masoumi mojtaba
منبع iranian journal of chemistry and chemical engineering - 2025 - دوره : 44 - شماره : 11 - صفحه:2728 -2750
چکیده    Reducing greenhouse gas emissions is a critical environmental challenge, with fossil fuel consumption and deforestation as major contributors to rising co2 levels. membrane-based gas separation has emerged as a promising technology due to its low energy requirements, compact design, and environmental compatibility. in this study, a novel sulfonated polyether ether ketone (speek)/polyvinyl alcohol (pva)/zinc oxide (zno) nanocomposite membrane was fabricated and evaluated for co2/ch4 separation. the incorporation of zno nanoparticles into the speek/pva matrix was optimized to achieve uniform dispersion, enhancing both permeability and stability. characterization by sem, ft-ir, xrd, afm, and tga confirmed the successful integration of zno nanoparticles and demonstrated favorable structural and thermal properties. the speek (70 %)/pva (28 %)/zno (2 %) membrane exhibited a co2 permeability of 40–60 barrer with co2 /ch₄ selectivity of 20–25, representing an effective balance of transport and selectivity. compared to state-of-the-art membranes such as pebax/peg/sio2 and matrimid/zif-8, the proposed membrane delivers comparable separation performance at significantly lower production costs (≈7.5–8.5 usd/m²), highlighting its industrial scalability and economic advantage. in addition, artificial neural network (ann) modeling using a multilayer perceptron (mlp) with the levenberg–marquardt algorithm achieved excellent predictive accuracy (r² = 0.9999), confirming strong agreement between experimental and predicted values. this combined experimental and modeling approach demonstrates the potential of speek/pva/zno membranes as cost-effective, high-performance candidates for co2 capture and natural gas purification.
کلیدواژه gas separation ,speek/pva/zno nanocomposite membrane ,co2/ch4 separation ,artificial neural network modeling ,robeson&rsquo ,s upper bound
آدرس islamic azad university, amol branch, department of chemical engineering, iran, islamic azad university, amol branch, department of chemical engineering, iran, islamic azad university, amol branch, department of chemical engineering, iran
پست الکترونیکی m.masoumi@iau.ir
 
     
   
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