Micro‐packed bed reactors, due to their high mass and heat transfer efficiency, and inherent safety, have significant advantages in processes such as hydrogenation reactions, debenzylation reactions, and catalyst screening. Despite extensive studies on gas–liquid two‐phase flow in micro‐packed beds, research on gas–liquid–liquid three‐phase flow remains limited. This study investigates the mass transfer and pressure drop behaviors of gas–liquid–liquid three‐phase flow in micro‐packed beds. Experimental results reveal that gas–liquid mass transfer is influenced by dispersion and turbulence enhancements, as well as the secondary liquid phase. A mathematical model for mass transfer shows strong agreement with experimental data. Additionally, a pressure drop model, considering inertial, viscous, and interfacial tension forces, accurately predicts experimental results. These findings provide valuable insights for optimizing micro‐packed bed operations.
{"title":"The gas–liquid mass transfer and pressure drop behaviors of the gas–liquid–liquid three‐phase flow in micro‐packed beds","authors":"Jingwei Zhang, Zhuo Chen, Jianhong Xu","doi":"10.1002/aic.18554","DOIUrl":"https://doi.org/10.1002/aic.18554","url":null,"abstract":"Micro‐packed bed reactors, due to their high mass and heat transfer efficiency, and inherent safety, have significant advantages in processes such as hydrogenation reactions, debenzylation reactions, and catalyst screening. Despite extensive studies on gas–liquid two‐phase flow in micro‐packed beds, research on gas–liquid–liquid three‐phase flow remains limited. This study investigates the mass transfer and pressure drop behaviors of gas–liquid–liquid three‐phase flow in micro‐packed beds. Experimental results reveal that gas–liquid mass transfer is influenced by dispersion and turbulence enhancements, as well as the secondary liquid phase. A mathematical model for mass transfer shows strong agreement with experimental data. Additionally, a pressure drop model, considering inertial, viscous, and interfacial tension forces, accurately predicts experimental results. These findings provide valuable insights for optimizing micro‐packed bed operations.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The planarity of two‐dimensional covalent organic frameworks (2D‐COFs) was demonstrated to show a significant and complex impact on their gas adsorption performance. However, the intrinsic mechanism underlying the intricate phenomenon remains unclear. Herein, a machine learning‐assisted data mining, simulation, and experiment combined study was performed to elucidate the complex impact of planar features of 2D‐COFs on gas adsorption and diffusion properties. A workflow was established for automatically assessing the planarity of 2D‐COFs. Compared with the flat configuration, the twisted and wavy configurations enhance the van der Waals interactions, promoting the adsorption of most nonpolar gases. Meanwhile, both the twisted and wavy configurations demonstrated an improved effect on gas diffusion. Gas adsorption and kinetic measurements on 2D‐COFs with similar physical and chemical properties but different planar features verified the theoretical finding. This work provides original insights and opens a new research paradigm for the study on the planarity of 2D‐COFs.
{"title":"How the planarity of two dimensional covalent organic frameworks affect gas adsorption and diffusion: A data mining, simulation, and experiment united study","authors":"Xue Ma, Shuna Yang, Nan Ma, Yuan Zhang, Zijun Ding, Rongyu Pan, Guojian Chen, Zhouyang Long, Yunpan Ying, Minman Tong","doi":"10.1002/aic.18593","DOIUrl":"https://doi.org/10.1002/aic.18593","url":null,"abstract":"The planarity of two‐dimensional covalent organic frameworks (2D‐COFs) was demonstrated to show a significant and complex impact on their gas adsorption performance. However, the intrinsic mechanism underlying the intricate phenomenon remains unclear. Herein, a machine learning‐assisted data mining, simulation, and experiment combined study was performed to elucidate the complex impact of planar features of 2D‐COFs on gas adsorption and diffusion properties. A workflow was established for automatically assessing the planarity of 2D‐COFs. Compared with the flat configuration, the twisted and wavy configurations enhance the van der Waals interactions, promoting the adsorption of most nonpolar gases. Meanwhile, both the twisted and wavy configurations demonstrated an improved effect on gas diffusion. Gas adsorption and kinetic measurements on 2D‐COFs with similar physical and chemical properties but different planar features verified the theoretical finding. This work provides original insights and opens a new research paradigm for the study on the planarity of 2D‐COFs.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Porous liquids (PLs) are a novel material that combines the advantages of porous solids and liquid fluidity. In this study, we propose an imprinted porous liquid (IPL) with imprinted polymers as the porous framework and a mixture of TOP + FeCl3 as sterically hindered solvents. Quantum chemical computations and characterization results demonstrate the presence of unoccupied pore structure in IPLs. The prepared IPLs exhibit excellent selective adsorption and extraction performance for lithium extraction, achieving a Li/Mg separation factor of 1540 and a single‐stage Li+ extraction efficiency of 86%. The Li+ extraction efficiency remains above 84% even after eight cycles. Analytical characterization along with quantum chemical computations elucidates the mechanism underlying the coupling between extraction and adsorption in IPLs, enabling efficient lithium extraction. By combining imprinting technology with PLs, IPLs expand upon existing frameworks for PLs materials while providing new insights for designing functional solvents.
{"title":"A novel imprinted porous liquid for lithium extraction","authors":"Dagang Qi, Shuai Zheng, Dongyu Jin, Zhiyong Zhou, Yuming Tu, Chencan Du, Zhongqi Ren","doi":"10.1002/aic.18603","DOIUrl":"https://doi.org/10.1002/aic.18603","url":null,"abstract":"Porous liquids (PLs) are a novel material that combines the advantages of porous solids and liquid fluidity. In this study, we propose an imprinted porous liquid (IPL) with imprinted polymers as the porous framework and a mixture of TOP + FeCl<jats:sub>3</jats:sub> as sterically hindered solvents. Quantum chemical computations and characterization results demonstrate the presence of unoccupied pore structure in IPLs. The prepared IPLs exhibit excellent selective adsorption and extraction performance for lithium extraction, achieving a Li/Mg separation factor of 1540 and a single‐stage Li<jats:sup>+</jats:sup> extraction efficiency of 86%. The Li<jats:sup>+</jats:sup> extraction efficiency remains above 84% even after eight cycles. Analytical characterization along with quantum chemical computations elucidates the mechanism underlying the coupling between extraction and adsorption in IPLs, enabling efficient lithium extraction. By combining imprinting technology with PLs, IPLs expand upon existing frameworks for PLs materials while providing new insights for designing functional solvents.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plastic transformations are critical to ongoing recycling and upcycling efforts, but the complexity of the reactions makes it difficult to understand the effect of individual factors on reaction rates and product distributions experimentally. In this work, we report on a multiscale simulation framework for studying polymer transformations that incorporates affordable high‐level coupled cluster calculations combined with benchmarked density functional theory calculations, detailed conformer search, and lattice‐based kinetic Monte Carlo simulations to provide the temporal and spatial evolution of the polymer during transformations. Our framework can match experimentally observed reaction times within an order of magnitude without any parameter estimation in base‐assisted dehydrochlorination of polyvinyl chloride. We determine that the E2 reaction mechanism dominates the reaction and demonstrate that different structural defects can inhibit or promote directional polyene growth as well as affect the structure of the dehydrochlorination product.
{"title":"Multiscale simulation of plastic transformations: The case of base‐assisted dehydrochlorination of polyvinyl chloride","authors":"Sophia Ezendu, Ademola Soyemi, Tibor Szilvási","doi":"10.1002/aic.18559","DOIUrl":"https://doi.org/10.1002/aic.18559","url":null,"abstract":"Plastic transformations are critical to ongoing recycling and upcycling efforts, but the complexity of the reactions makes it difficult to understand the effect of individual factors on reaction rates and product distributions experimentally. In this work, we report on a multiscale simulation framework for studying polymer transformations that incorporates affordable high‐level coupled cluster calculations combined with benchmarked density functional theory calculations, detailed conformer search, and lattice‐based kinetic Monte Carlo simulations to provide the temporal and spatial evolution of the polymer during transformations. Our framework can match experimentally observed reaction times within an order of magnitude <jats:italic>without</jats:italic> any parameter estimation in base‐assisted dehydrochlorination of polyvinyl chloride. We determine that the E2 reaction mechanism dominates the reaction and demonstrate that different structural defects can inhibit or promote directional polyene growth as well as affect the structure of the dehydrochlorination product.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiahui Lin, Xuedi Sheng, Wangxin Ge, Lei Dong, Wenfei Zhang, Xiaoling Yang, Jianhua Shen, Hongliang Jiang, Chunzhong Li
Bicarbonate electrolysis, as a carbon utilization technology with high efficiency and potential for industrial applications, provides a promising pathway for CO2 emission reduction. However, how to inhibit serious hydrogen evolution reaction (HER) and increase the relatively low CO2 concentration at the electrode‐electrolyte interfacial is challenging. Here, we introduce three typical aminopolycarboxylic acids (APCAs) with different amounts of carboxylic acid roots into 3 M KHCO3 to enhance the Faradaic efficiency of CO (FECO) from 51.2% to 68.0% at 100 mA cm−2. Spectroscopic characterization confirms that the role of APCAs in confining the activity of water dissociation and improving the availability of CO2. The strategy adopted in this work that introducing APCAs into the electrolyte to balance the content of CO2 and H2O for improving the electrocatalytic performance, can serve as a reference for other electrocatalytic systems.
碳酸氢盐电解作为一种高效且具有工业应用潜力的碳利用技术，为二氧化碳减排提供了一条前景广阔的途径。然而，如何抑制严重的氢进化反应（HER）并提高电极-电解质界面上相对较低的二氧化碳浓度是一项挑战。在这里，我们在 3 M KHCO3 中引入了三种典型的氨基多羧酸（APCAs），其羧酸根的含量各不相同，从而在 100 mA cm-2 的条件下将 CO 的法拉第效率（FECO）从 51.2% 提高到 68.0%。光谱表征证实了 APCAs 在限制水解离活性和提高 CO2 可用性方面的作用。这项工作中采用的策略，即在电解液中引入 APCAs 以平衡 CO2 和 H2O 的含量，从而提高电催化性能，可为其他电催化系统提供参考。
{"title":"Tailoring the interfacial microenvironment by electrolyte engineering boosts bicarbonate electrolysis","authors":"Jiahui Lin, Xuedi Sheng, Wangxin Ge, Lei Dong, Wenfei Zhang, Xiaoling Yang, Jianhua Shen, Hongliang Jiang, Chunzhong Li","doi":"10.1002/aic.18599","DOIUrl":"https://doi.org/10.1002/aic.18599","url":null,"abstract":"Bicarbonate electrolysis, as a carbon utilization technology with high efficiency and potential for industrial applications, provides a promising pathway for CO<jats:sub>2</jats:sub> emission reduction. However, how to inhibit serious hydrogen evolution reaction (HER) and increase the relatively low CO<jats:sub>2</jats:sub> concentration at the electrode‐electrolyte interfacial is challenging. Here, we introduce three typical aminopolycarboxylic acids (APCAs) with different amounts of carboxylic acid roots into 3 M KHCO<jats:sub>3</jats:sub> to enhance the Faradaic efficiency of CO (FE<jats:sub>CO</jats:sub>) from 51.2% to 68.0% at 100 mA cm<jats:sup>−2</jats:sup>. Spectroscopic characterization confirms that the role of APCAs in confining the activity of water dissociation and improving the availability of CO<jats:sub>2</jats:sub>. The strategy adopted in this work that introducing APCAs into the electrolyte to balance the content of CO<jats:sub>2</jats:sub> and H<jats:sub>2</jats:sub>O for improving the electrocatalytic performance, can serve as a reference for other electrocatalytic systems.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diffusion of hydrocarbon species in an MFI‐type zeolite was investigated using a coarse‐grained approach combined with Kinetic Monte Carlo (KMC) simulations. The model was employed to capture and isolate the essential characteristics of hydrocarbon diffusion such as molecular pushing, passing, and blocking. A modified Lennard‐Jones type forcefield was used to approximate interactions between molecules, and molecules with the oxygen in the zeolite lattice. The basis for the rate expressions is configurational diffusion theory, which has been adjusted to account for an accurate representation of the motions of hydrocarbon molecules trapped in the zeolite. Diffusion coefficients were estimated for low and high loading of single hydrocarbons as well as binary mixtures. In all cases studied, reasonable agreement was achieved with reported experimental data and molecular dynamics simulations. The model is conceptualized as an analytical tool that may be used to address key engineering topics such as applications of zeolites as size‐selective barriers.
{"title":"Diffusion behaviors of binary mixtures of alkanes and aromatics through ZSM‐5 zeolite: A kinetic Monte Carlo study","authors":"Brian Gray, John Kuhn, Babu Joseph","doi":"10.1002/aic.18590","DOIUrl":"https://doi.org/10.1002/aic.18590","url":null,"abstract":"Diffusion of hydrocarbon species in an MFI‐type zeolite was investigated using a coarse‐grained approach combined with Kinetic Monte Carlo (KMC) simulations. The model was employed to capture and isolate the essential characteristics of hydrocarbon diffusion such as molecular pushing, passing, and blocking. A modified Lennard‐Jones type forcefield was used to approximate interactions between molecules, and molecules with the oxygen in the zeolite lattice. The basis for the rate expressions is configurational diffusion theory, which has been adjusted to account for an accurate representation of the motions of hydrocarbon molecules trapped in the zeolite. Diffusion coefficients were estimated for low and high loading of single hydrocarbons as well as binary mixtures. In all cases studied, reasonable agreement was achieved with reported experimental data and molecular dynamics simulations. The model is conceptualized as an analytical tool that may be used to address key engineering topics such as applications of zeolites as size‐selective barriers.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study demonstrates fluorine-free cross-linked (meth)acrylate polymers as alternatives to polyvinylidene fluoride (PVDF) in LiNi0.33Mn0.33Co0.33O2 (NMC111) cathodes. We determine the effects of thermal initiator content, polymer content, and curing environment for two polymer chemistries: a flexible acrylate polymer, and a stiff methacrylate polymer. Electrodes are manufactured and tested for final electrochemical performance and mechanical properties. The results show that the flexible acrylate polymer exhibits higher rate capability compared to the stiff methacrylate polymer because calendering fractures the brittle network of stiff polymer. Electrode adhesion to the current collector and cohesion between particles are found to be a strong function of thermal initiator ratio and oxygen inhibition. Furthermore, there exists an optimal binder concentration that maximizes rate capability performance. Under the right conditions, the two polymers exhibit comparable performance to PVDF electrodes. These results provide important implications for designing cross-linked polymers as cathode binder alternatives to PVDF.
{"title":"Electrochemical and mechanical characterization of thermosets as fluorine-free cathode binders for Li-ion batteries","authors":"Shihao Pan, Maureen H. Tang, Nicolas J. Alvarez","doi":"10.1002/aic.18577","DOIUrl":"https://doi.org/10.1002/aic.18577","url":null,"abstract":"This study demonstrates fluorine-free cross-linked (meth)acrylate polymers as alternatives to polyvinylidene fluoride (PVDF) in LiNi<sub>0.33</sub>Mn<sub>0.33</sub>Co<sub>0.33</sub>O<sub>2</sub> (NMC111) cathodes. We determine the effects of thermal initiator content, polymer content, and curing environment for two polymer chemistries: a flexible acrylate polymer, and a stiff methacrylate polymer. Electrodes are manufactured and tested for final electrochemical performance and mechanical properties. The results show that the flexible acrylate polymer exhibits higher rate capability compared to the stiff methacrylate polymer because calendering fractures the brittle network of stiff polymer. Electrode adhesion to the current collector and cohesion between particles are found to be a strong function of thermal initiator ratio and oxygen inhibition. Furthermore, there exists an optimal binder concentration that maximizes rate capability performance. Under the right conditions, the two polymers exhibit comparable performance to PVDF electrodes. These results provide important implications for designing cross-linked polymers as cathode binder alternatives to PVDF.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142085238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A universal machine learning framework is proposed to predict and classify membrane performance efficiently and accurately, achieved by combining classical density functional theory and string method. Through application of this framework, we conducted high-throughput computations under industrial conditions, utilizing an extensive database containing nearly 70,000 covalent organic framework (COF) structures for CH4/H2 separation. The best-performing COF identified surpasses the materials reported in the previously documented MOF and COF databases, exhibiting an impressive adsorption selectivity for CH4/H2 exceeding 82 and a membrane selectivity reaching as high as 248. More impressively, some of the best candidates identified from this framework have been verified through previous experimental works. Furthermore, the automated machine learning framework and its corresponding scoring system not only enable rapid identification of promising membrane materials from a vast material space but also contribute to a comprehensive understanding of the governing mechanisms that determine separation performance.
{"title":"A universal machine learning framework to automatically identify high-performance covalent organic framework membranes for CH4/H2 separation","authors":"Yong Qiu, Letian Chen, Xu Zhang, Dehai Ping, Yun Tian, Zhen Zhou","doi":"10.1002/aic.18575","DOIUrl":"https://doi.org/10.1002/aic.18575","url":null,"abstract":"A universal machine learning framework is proposed to predict and classify membrane performance efficiently and accurately, achieved by combining classical density functional theory and string method. Through application of this framework, we conducted high-throughput computations under industrial conditions, utilizing an extensive database containing nearly 70,000 covalent organic framework (COF) structures for CH<sub>4</sub>/H<sub>2</sub> separation. The best-performing COF identified surpasses the materials reported in the previously documented MOF and COF databases, exhibiting an impressive adsorption selectivity for CH<sub>4</sub>/H<sub>2</sub> exceeding 82 and a membrane selectivity reaching as high as 248. More impressively, some of the best candidates identified from this framework have been verified through previous experimental works. Furthermore, the automated machine learning framework and its corresponding scoring system not only enable rapid identification of promising membrane materials from a vast material space but also contribute to a comprehensive understanding of the governing mechanisms that determine separation performance.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142085237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Developing the sustainable and cost-effective heterogeneous catalytic system for controlling chemoselectivity holds substantial importance in fine organic chemicals. Herein we construct a unique Zr(OH)4 + CuO physically hybrid system for selective oxidation of anilines. Zr(OH)4 alone leads to azoxybenzene formation, and Zr(OH)4 + CuO shifts the reaction favorably toward nitrosobenzene. The proximity study indicates Zr(OH)4 + CuO outperforms its counterparts synthesized through methods like ball-milling, loading, and coprecipitation, because the closer proximity exhibits stronger chemical interaction, restricting the activity of Zr-OH hydroxyl sites. Through mechanistic experiments, in situ DRIFT-IR and DFT calculations, a new Ph-OH intermediate mechanism is firstly proposed. Two Ph-
Mudasir Ahmad, Menier Al-Anazi, Muhammad Rizwan Tariq, Idrees Khan, Baoling Zhang
In response to the increasing demand for gold in electronic manufacturing, this study addresses the urgent need for gold recycling from electronic waste (E-waste) to ensure the environment and energy safety. This study focuses on the preparation of the tubular carbon nanofibers (TCNFs) integrating NH4+ and SO3− groups into TCNF-SO3−-NH4+, which exhibited remarkable gold adsorption capacity (2003.25 ± 0.23 mg/g) and selectivity (Kd; 41.7 × 103 mL/g) at lower pH. TCNF-SO3−-NH4+ achieved a 99.77% gold adsorption efficiency under lower pH conditions (pH = 1) from E-waste. The adsorption capacity reached 3.54 ± 0.11 mg/g at an initial concentration of 0.85 mg/L. The results highlight the efficacy of TCNF-SO3−-NH4+ for extracting gold and other precious metal ions from E-waste, presenting a promising solution for clean energy and environmental protection.
{"title":"Gold recovery through synergetic adsorption and reduction using acid–base additive-reinforced tubular carbon nanofibers","authors":"Mudasir Ahmad, Menier Al-Anazi, Muhammad Rizwan Tariq, Idrees Khan, Baoling Zhang","doi":"10.1002/aic.18581","DOIUrl":"https://doi.org/10.1002/aic.18581","url":null,"abstract":"In response to the increasing demand for gold in electronic manufacturing, this study addresses the urgent need for gold recycling from electronic waste (E-waste) to ensure the environment and energy safety. This study focuses on the preparation of the tubular carbon nanofibers (TCNFs) integrating <span></span>NH<sub>4</sub><sup>+</sup> and <span></span>SO<sub>3</sub><sup>−</sup> groups into TCNF-SO<sub>3</sub><sup>−</sup>-NH<sub>4</sub><sup>+</sup>, which exhibited remarkable gold adsorption capacity (2003.25 ± 0.23 mg/g) and selectivity (K<sub>d</sub>; 41.7 × 10<sup>3</sup> mL/g) at lower pH. TCNF-SO<sub>3</sub><sup>−</sup>-NH<sub>4</sub><sup>+</sup> achieved a 99.77% gold adsorption efficiency under lower pH conditions (pH = 1) from E-waste. The adsorption capacity reached 3.54 ± 0.11 mg/g at an initial concentration of 0.85 mg/L. The results highlight the efficacy of TCNF-SO<sub>3</sub><sup>−</sup>-NH<sub>4</sub><sup>+</sup> for extracting gold and other precious metal ions from E-waste, presenting a promising solution for clean energy and environmental protection.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142085236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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