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Yang Z, Zhu Y, Tan X, Gunjal SJJ, Dewapriya P, Wang Y, Xin R, Fu C, Liu K, Macintosh K, Sprague LG, Leung L, Hopkins TE, Thomas KV, Guo J, Whittaker AK, Zhang C. Fluoropolymer sorbent for efficient and selective capturing of per- and polyfluorinated compounds. Nat Commun 2024; 15:8269. [PMID: 39333086 PMCID: PMC11436832 DOI: 10.1038/s41467-024-52690-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Accepted: 09/19/2024] [Indexed: 09/29/2024] Open
Abstract
Per- and poly-fluoroalkyl substances (PFAS) have gained widespread attention due to their adverse effects on health and environment. Developing efficient technology to capture PFAS from contaminated sources remains a great challenge. In this study, we introduce a type of reusable polymeric sorbent (PFPE-IEX + ) for rapid, efficient, and selective removal of multiple PFAS impurities from various contaminated water sources. The resin achieves >98% removal efficiency ([PFPE-IEX + ] = 0.5-5 mg mL-1, [PFAS]0 = 1-10 ppb in potable water and landfill leachate) and >500 mg g-1 sorption capacity for the 11 types of examined PFAS. We achieve efficient PFAS removal without breakthrough and subsequent resin regeneration and demonstrate good PFAS recovery in a proof-of-concept cartridge setup. The outcomes of this study offer valuable guidance to the design of platforms for efficient and selective PFAS capture from contaminated water, such as drinking water and landfill leachate.
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Affiliation(s)
- Zhuojing Yang
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
- The Centre for Advanced Imaging (CAI), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Yutong Zhu
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
- The Centre for Advanced Imaging (CAI), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Xiao Tan
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
- The Centre for Advanced Imaging (CAI), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Samruddhi Jayendra Jayendra Gunjal
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
- The Centre for Advanced Imaging (CAI), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Pradeep Dewapriya
- Queensland Alliance for Environmental Health Sciences, The University of Queensland, Level 4, 20 Cornwall Street, Woolloongabba, QLD, 4102, Australia
| | - Yiqing Wang
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
- The Centre for Advanced Imaging (CAI), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Ruijing Xin
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Changkui Fu
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Kehan Liu
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
- The Centre for Advanced Imaging (CAI), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Katie Macintosh
- City of Gold Coast 833 Southport Nerang Rd, Nerang, QLD 4211, Australia
| | - Lee G Sprague
- The Chemours Company, Chemours Discovery Hub, 201 Discovery Boulevard, Newark, DE, 19713, USA
| | - Lam Leung
- The Chemours Company, Chemours Discovery Hub, 201 Discovery Boulevard, Newark, DE, 19713, USA
| | - Timothy E Hopkins
- The Chemours Company, Chemours Discovery Hub, 201 Discovery Boulevard, Newark, DE, 19713, USA
| | - Kevin V Thomas
- Queensland Alliance for Environmental Health Sciences, The University of Queensland, Level 4, 20 Cornwall Street, Woolloongabba, QLD, 4102, Australia
| | - Jianhua Guo
- Australian Centre for Water and Environmental Biotechnology, The University of Queensland, St. Lucia, QLD, Australia
| | - Andrew K Whittaker
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
- Australian Research Council Centre of Excellence for Green Electrochemical Transformation of Carbon Dioxide, The University of Queensland, Brisbane, Australia
| | - Cheng Zhang
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia.
- The Centre for Advanced Imaging (CAI), The University of Queensland, Brisbane, QLD 4072, Australia.
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Ghoniem RM, Wilberforce T, Rezk H, As’ad S, Alahmer A. Boosting Power Density of Proton Exchange Membrane Fuel Cell Using Artificial Intelligence and Optimization Algorithms. MEMBRANES 2023; 13:817. [PMID: 37887989 PMCID: PMC10608473 DOI: 10.3390/membranes13100817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/18/2023] [Accepted: 09/22/2023] [Indexed: 10/28/2023]
Abstract
The adoption of Proton Exchange Membrane (PEM) fuel cells (FCs) is of great significance in diverse industries, as they provide high efficiency and environmental advantages, enabling the transition to sustainable and clean energy solutions. This study aims to enhance the output power of PEM-FCs by employing the Adaptive Neuro-Fuzzy Inference System (ANFIS) and modern optimization algorithms. Initially, an ANFIS model is developed based on empirical data to simulate the output power density of the PEM-FC, considering factors such as pressure, relative humidity, and membrane compression. The Salp swarm algorithm (SSA) is subsequently utilized to determine the optimal values of the input control parameters. The three input control parameters of the PEM-FC are treated as decision variables during the optimization process, with the objective to maximize the output power density. During the modeling phase, the training and testing data exhibit root mean square error (RMSE) values of 0.0003 and 24.5, respectively. The coefficient of determination values for training and testing are 1.0 and 0.9598, respectively, indicating the successfulness of the modeling process. The reliability of SSA is further validated by comparing its outcomes with those obtained from particle swarm optimization (PSO), evolutionary optimization (EO), and grey wolf optimizer (GWO). Among these methods, SSA achieves the highest average power density of 716.63 mW/cm2, followed by GWO at 709.95 mW/cm2. The lowest average power density of 695.27 mW/cm2 is obtained using PSO.
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Affiliation(s)
- Rania M. Ghoniem
- Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia;
| | - Tabbi Wilberforce
- Department of Engineering, Faculty of Natural, Mathematical & Engineering Sciences, King’s College London, London WC2R 2LS, UK;
| | - Hegazy Rezk
- Department of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Riyadh 11942, Saudi Arabia;
- Department of Electrical Engineering, Faculty of Engineering, Minia University, Elminia 61519, Egypt
| | - Samer As’ad
- Renewable Energy Engineering Department, Faculty of Engineering, Middle East University, Amman 11831, Jordan;
| | - Ali Alahmer
- Department of Mechanical Engineering, Tuskegee University, Tuskegee, AL 36088, USA
- Department of Mechanical Engineering, Faculty of Engineering, Tafila Technical University, Tafila 66110, Jordan
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Zakaria Z, Kamarudin SK, Wahid KAA. Polymer electrolyte membrane modification in direct ethanol fuel cells: An update. J Appl Polym Sci 2022. [DOI: 10.1002/app.53383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Zulfirdaus Zakaria
- School of Materials and Mineral Resources Engineering Universiti Sains Malaysia, Engineering Campus Pulau Pinang Malaysia
- Fuel Cell Institute Universiti Kebangsaan Malaysia Bangi Selangor Malaysia
| | - Siti Kartom Kamarudin
- Fuel Cell Institute Universiti Kebangsaan Malaysia Bangi Selangor Malaysia
- Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Bangi Selangor Malaysia
| | - Khairul Anwar Abd Wahid
- Mechanical Engineering Section, Malaysia France Institute Universiti Kuala Lumpur Bandar Baru Bangi Malaysia
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Souza FM, Pinheiro VS, Gentil TC, Lucchetti LE, Silva J, L.M.G. Santos M, De Oliveira I, Dourado WM, Amaral-Labat G, Okamoto S, Santos MC. Alkaline direct liquid fuel cells: Advances, challenges and perspectives. J Electroanal Chem (Lausanne) 2022. [DOI: 10.1016/j.jelechem.2022.116712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
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Dikmen Z, Işık M, Turhan O, Akbari M, Tuncer C, Javanifar R, Bütün V. Thiazolo Thiazole Based Dye Modified Microspheres as Metal Nanoparticle Reactor Template and Hybrid Catalyst. Eur Polym J 2022. [DOI: 10.1016/j.eurpolymj.2022.111391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Diamine crosslinked anion exchange membranes based on poly(vinyl benzyl methylpyrrolidinium) for alkaline water electrolysis. J Memb Sci 2021. [DOI: 10.1016/j.memsci.2021.119418] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Li Z, Chen J, Zhou J, Nie Y, Shen C, Gao S. Trimethyl-Ammonium Alkaline Anion Exchange Membranes with the Vinylbenzyl Chloride/Acrylonitrile Main Chain. Macromol Res 2021. [DOI: 10.1007/s13233-021-9054-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Cai X, Zhang Y, Li C, Zhang G, Wang X, Zhang X, Wang Q, Wang F. Composite Polymer Anion Exchange Membranes with Sandwich Structure and Improved Performance for Zn-Air Battery. MEMBRANES 2021; 11:membranes11030224. [PMID: 33810093 PMCID: PMC8004831 DOI: 10.3390/membranes11030224] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 12/01/2022]
Abstract
In this study, we fabricated a composite polymer anion exchange membrane (AEM) with a sandwich structure. This prepared AEM demonstrated high ionic conductivity (0.25 Scm−1), excellent alkali resistance (8 M KOH), and good mechanical properties (tensile strength of 0.455 MPa and elongation at break of 82.13%). Here, degrease cotton (DC) treated with LiOH/urea aqueous solution was used and immersed into a coagulation bath to form a film. This film was immersed in acrylic acid (AA) monomers, and in-suit polymerization was carried out in the presence of KOH and an initiator. Finally, a composite polymer membrane with sandwich structure was achieved, in which the upper and bottom layers were mainly composed of polymerized AA (PAA) while the central layer was mainly composed of DC derived film. The central layer acted as a skeleton to improve the mechanical properties and alkali resistance. The top and bottom layers (PAA-rich layers) acted as OH- ion transport carriers, making basic cations migrate along the main chain of PAA. This newly developed composite membrane showed increased tensile strength and an elongation at break of 2.7 and 1.5 times, respectively, when compared to a control PAA/KOH AEM film. Furthermore, an electrochemical stability window of 2.0 V was measured via the cyclic voltammetry curve test, showing a wide electrochemical window and promising application in Zn–Air batteries.
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Affiliation(s)
- Xiaoxia Cai
- School of Materials Science & Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China; (Y.Z.); (G.Z.); (X.W.); (X.Z.); (F.W.)
- Correspondence: (X.C.); (C.L.)
| | - Yuansong Zhang
- School of Materials Science & Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China; (Y.Z.); (G.Z.); (X.W.); (X.Z.); (F.W.)
| | - Cong Li
- State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China;
- Correspondence: (X.C.); (C.L.)
| | - Guotao Zhang
- School of Materials Science & Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China; (Y.Z.); (G.Z.); (X.W.); (X.Z.); (F.W.)
| | - Xiaotao Wang
- School of Materials Science & Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China; (Y.Z.); (G.Z.); (X.W.); (X.Z.); (F.W.)
| | - Xian Zhang
- School of Materials Science & Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China; (Y.Z.); (G.Z.); (X.W.); (X.Z.); (F.W.)
| | - Qiang Wang
- State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China;
| | - Fuzhong Wang
- School of Materials Science & Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China; (Y.Z.); (G.Z.); (X.W.); (X.Z.); (F.W.)
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Kuo CW, Chang JC, Chang JK, Huang SW, Lee PY, Wu TY. Electrosynthesis of Electrochromic Polymer Membranes Based on 3,6-Di(2-thienyl)carbazole and Thiophene Derivatives. MEMBRANES 2021; 11:125. [PMID: 33572342 PMCID: PMC7916168 DOI: 10.3390/membranes11020125] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 02/02/2021] [Accepted: 02/04/2021] [Indexed: 11/16/2022]
Abstract
Five carbazole-containing polymeric membranes (PDTC, P(DTC-co-BTP), P(DTC-co-BTP2), P(DTC-co-TF), and P(DTC-co-TF2)) were electrodeposited on transparent conductive electrodes. P(DTC-co-BTP2) shows a high ΔT (68.4%) at 855 nm. The multichromic properties of P(DTC-co-TF2) membrane range between dark yellow, yellowish-green, gunmetal gray, and dark gray in various reduced and oxidized states. Polymer-based organic electrochromic devices are assembled using 2,2'-bithiophene- and 2-(2-thienyl)furan-based copolymers as anodic membranes, and poly(3,4-ethylenedioxythiophene)-poly(styrene sulfonic acid) (PEDOT-PSS) as the cathodic membrane. P(DTC-co-TF)/PEDOT-PSS electrochromic device (ECD) displays a high transmittance change (ΔT%) (43.4%) at 627 nm as well as a rapid switching time (less than 0.6 s) from a colored to a bleached state. Moreover, P(DTC-co-TF2)/PEDOT-PSS ECD shows satisfactory optical memory (the transmittance change is less than 2.9% in the colored state) and high coloration efficiency (512.6 cm2 C-1) at 627 nm.
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Affiliation(s)
- Chung-Wen Kuo
- Department of Chemical and Materials Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan; (C.-W.K.); (S.-W.H.)
| | - Jui-Cheng Chang
- Department of Chemical Engineering and Materials Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan; (J.-C.C.); (P.-Y.L.)
- Bachelor Program in Interdisciplinary Studies, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan
| | - Jeng-Kuei Chang
- Department of Materials Science and Engineering, National Chiao Tung University, No. 1001 University Road, Hsinchu 30010, Taiwan;
| | - Sheng-Wei Huang
- Department of Chemical and Materials Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan; (C.-W.K.); (S.-W.H.)
| | - Pei-Ying Lee
- Department of Chemical Engineering and Materials Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan; (J.-C.C.); (P.-Y.L.)
| | - Tzi-Yi Wu
- Department of Chemical Engineering and Materials Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan; (J.-C.C.); (P.-Y.L.)
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