Pub Date : 2025-03-28DOI: 10.1021/acs.iecr.4c0460110.1021/acs.iecr.4c04601
Emmanuel N. Skountzos*, Ashwin Ravichandran, Maricela Lizcano and John W. Lawson*,
Atomistic configurations of model poly(phenylsulfone) (PPSU) systems, with molecular lengths ranging from N = 5 to N = 50 monomers, were thoroughly relaxed by subjecting them to detailed molecular dynamics (MD) simulations. We present results for their thermal properties, including the thermal expansion coefficient (aP) and the thermal conductivity (λ). Our simulation predictions for both properties align relatively closely with experimental values, and no significant correlation with the PPSU chain length was recorded. Prior to examining the thermal properties at T = 300 K, we conducted an extensive analysis of the thermodynamic, structural, conformational, and dynamic properties of these models in the molten state at T = 700 K. This provided valuable microscopic insights, such as the dependence of the mean-squared radius of gyration, mean-squared end-to-end distance, self-diffusion coefficient, and total relaxation time on molecular weight, which were subsequently correlated with the zero-rate shear viscosity. During the quenching process from high temperatures to ambient conditions, we estimated the glass transition temperature (Tg) of all model systems, and the predicted values relatively matched the experimental data within the expected range, considering the high cooling rates in the MD simulations. Our simulations effectively captured the important dependence of Tg on molecular weight.
{"title":"Molecular Dynamics Simulations for the Prediction of the Conformational, Dynamic, and Thermal Properties of Poly(phenylsulfone) (PPSU) and Their Dependence on Molecular Weight","authors":"Emmanuel N. Skountzos*, Ashwin Ravichandran, Maricela Lizcano and John W. Lawson*, ","doi":"10.1021/acs.iecr.4c0460110.1021/acs.iecr.4c04601","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c04601https://doi.org/10.1021/acs.iecr.4c04601","url":null,"abstract":"<p >Atomistic configurations of model poly(phenylsulfone) (PPSU) systems, with molecular lengths ranging from <i>N</i> = 5 to <i>N</i> = 50 monomers, were thoroughly relaxed by subjecting them to detailed molecular dynamics (MD) simulations. We present results for their thermal properties, including the thermal expansion coefficient (<i>a</i><sub>P</sub>) and the thermal conductivity (λ). Our simulation predictions for both properties align relatively closely with experimental values, and no significant correlation with the PPSU chain length was recorded. Prior to examining the thermal properties at <i>T</i> = 300 K, we conducted an extensive analysis of the thermodynamic, structural, conformational, and dynamic properties of these models in the molten state at <i>T</i> = 700 K. This provided valuable microscopic insights, such as the dependence of the mean-squared radius of gyration, mean-squared end-to-end distance, self-diffusion coefficient, and total relaxation time on molecular weight, which were subsequently correlated with the zero-rate shear viscosity. During the quenching process from high temperatures to ambient conditions, we estimated the glass transition temperature (<i>T</i><sub>g</sub>) of all model systems, and the predicted values relatively matched the experimental data within the expected range, considering the high cooling rates in the MD simulations. Our simulations effectively captured the important dependence of <i>T</i><sub>g</sub> on molecular weight.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 14","pages":"7360–7369 7360–7369"},"PeriodicalIF":3.8,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143798665","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}
Mass transfer is critical in liquid–liquid biphasic catalysis, with considerable attention focused on enhancing mass transfer primarily through increasing the interfacial area. However, the driving force, determined by the concentration gradient, has received far less attention. In this work, we introduce an alternative approach that not only maximizes the interfacial area and minimizes the mass transfer distance but also enhances the driving force through molecular interactions between amphiphilic polymers and substrates, resulting in an enhanced mass transfer process. Specifically, an amphiphilic polymer was synthesized with a positively charged hydrophilic segment and a hydrophobic segment containing a pyridine motif. The pyridine motif facilitates the attraction of chlorobenzene and dichloromethane to the water-organic interface, creating a concentration gradient that boosts the driving force. Meanwhile, negatively charged bacteria are drawn to the interface through electrostatic interactions, further reducing the mass transfer distance. As a result, the degradation of chlorobenzene and dichloromethane was improved utmost 3- and 5-fold than their controls, respectively. Considering the diverse forms of molecular interactions, this work demonstrates the concept of enhancing the driving force to intensify mass transfer processes, offering promising avenues for improving reaction efficiency in advanced biosynthesis.
{"title":"Molecular Interactions-Promoted Mass Transfer in Polymer-Stabilized Emulsions for the Biotransformation of Chlorinated Volatile Organic Compounds","authors":"Zhiyong Sun*, Chengcheng Xu, Meng Wu, Yongyong Cao, Zhiliang Yu and Jianming Yu*, ","doi":"10.1021/acs.iecr.5c0012910.1021/acs.iecr.5c00129","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c00129https://doi.org/10.1021/acs.iecr.5c00129","url":null,"abstract":"<p >Mass transfer is critical in liquid–liquid biphasic catalysis, with considerable attention focused on enhancing mass transfer primarily through increasing the interfacial area. However, the driving force, determined by the concentration gradient, has received far less attention. In this work, we introduce an alternative approach that not only maximizes the interfacial area and minimizes the mass transfer distance but also enhances the driving force through molecular interactions between amphiphilic polymers and substrates, resulting in an enhanced mass transfer process. Specifically, an amphiphilic polymer was synthesized with a positively charged hydrophilic segment and a hydrophobic segment containing a pyridine motif. The pyridine motif facilitates the attraction of chlorobenzene and dichloromethane to the water-organic interface, creating a concentration gradient that boosts the driving force. Meanwhile, negatively charged bacteria are drawn to the interface through electrostatic interactions, further reducing the mass transfer distance. As a result, the degradation of chlorobenzene and dichloromethane was improved utmost 3- and 5-fold than their controls, respectively. Considering the diverse forms of molecular interactions, this work demonstrates the concept of enhancing the driving force to intensify mass transfer processes, offering promising avenues for improving reaction efficiency in advanced biosynthesis.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 14","pages":"7399–7406 7399–7406"},"PeriodicalIF":3.8,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143798791","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}
Pub Date : 2025-03-27DOI: 10.1021/acs.iecr.4c04336
Kailash Singh, Kaliaperumal Selvaraj
Anion exchange membrane water electrolyzer (AEMWE) is an emerging technology for large-scale hydrogen production, where membrane electrode assembly (MEA) plays a critical role in the electrolyzer efficiency. This study investigates the effects of different membranes (Piperion, Aemion, and Sustainion) and gaskets (Viton, poly(tetrafluoroethylene) (PTFE), and Silicon) using a non-platinum group metal (non-PGM) bifunctional electrocatalyst under fixed compression and flow rates. Membrane properties such as ionic resistance and diffusion and gasket properties like thermal suitability and compressibility significantly affect the overall performance of AEMWE. The results indicate that Sustainion and Aemion membranes are best suited for lab-scale and industrial applications, respectively, while Silicon and PTFE gaskets are optimal for corresponding scales. Understanding these effects can help to improve the efficiency and guide material selection. This study provides valuable insights for researchers developing AEMWE technology, enabling advancements from laboratory research to megawatt-level industrial hydrogen production and supporting the transition to clean-energy solutions.
{"title":"Material Selection for Enhanced Performance in Anion Exchange Membrane Water Electrolyzers: A Study of Membranes and Gaskets","authors":"Kailash Singh, Kaliaperumal Selvaraj","doi":"10.1021/acs.iecr.4c04336","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c04336","url":null,"abstract":"Anion exchange membrane water electrolyzer (AEMWE) is an emerging technology for large-scale hydrogen production, where membrane electrode assembly (MEA) plays a critical role in the electrolyzer efficiency. This study investigates the effects of different membranes (Piperion, Aemion, and Sustainion) and gaskets (Viton, poly(tetrafluoroethylene) (PTFE), and Silicon) using a non-platinum group metal (non-PGM) bifunctional electrocatalyst under fixed compression and flow rates. Membrane properties such as ionic resistance and diffusion and gasket properties like thermal suitability and compressibility significantly affect the overall performance of AEMWE. The results indicate that Sustainion and Aemion membranes are best suited for lab-scale and industrial applications, respectively, while Silicon and PTFE gaskets are optimal for corresponding scales. Understanding these effects can help to improve the efficiency and guide material selection. This study provides valuable insights for researchers developing AEMWE technology, enabling advancements from laboratory research to megawatt-level industrial hydrogen production and supporting the transition to clean-energy solutions.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"29 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143713487","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}
Pub Date : 2025-03-27DOI: 10.1021/acs.iecr.5c0086110.1021/acs.iecr.5c00861
Francesco Negri, Francesco Gallo and Flavio Manenti*,
{"title":"Addition/Correction to ”Advancing Sewage Sludge Valorization: Sustainable Biofuel Production through First-Principles Modeling and Process Simulation”","authors":"Francesco Negri, Francesco Gallo and Flavio Manenti*, ","doi":"10.1021/acs.iecr.5c0086110.1021/acs.iecr.5c00861","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c00861https://doi.org/10.1021/acs.iecr.5c00861","url":null,"abstract":"","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 14","pages":"7617 7617"},"PeriodicalIF":3.8,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acs.iecr.5c00861","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143798659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-27DOI: 10.1021/acs.iecr.4c03782
Ilias Mitrai, Prodromos Daoutidis
Model Predictive Control (MPC) is a widely used optimization-based control strategy for constrained systems. MPC relies on the repeated online solution of an optimal control problem, which determines the operation of the underlying system. However, the online solution of the optimal control problem can be computationally expensive. This necessitates a compromise between solution quality and solution time. In this paper, we propose a machine learning-based automated framework for algorithm selection and configuration for MPC applications. This framework aids the online implementation of MPC by selecting the best solution strategy and its tuning while accounting for solution quality and time. The proposed approach is applied to a mixed-integer economic MPC problem that arises in the operation of multiproduct process systems. The proposed approach allows us to (1) decide whether to use a heuristic or exact solution approach and (2) tune the exact algorithm if needed. The results show that machine learning can be used to guide the implementation of MPC and ultimately lead to lower average solution time while maintaining solution quality.
{"title":"Efficient Model Predictive Control Implementation via Machine Learning: An Algorithm Selection and Configuration Approach","authors":"Ilias Mitrai, Prodromos Daoutidis","doi":"10.1021/acs.iecr.4c03782","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c03782","url":null,"abstract":"Model Predictive Control (MPC) is a widely used optimization-based control strategy for constrained systems. MPC relies on the repeated online solution of an optimal control problem, which determines the operation of the underlying system. However, the online solution of the optimal control problem can be computationally expensive. This necessitates a compromise between solution quality and solution time. In this paper, we propose a machine learning-based automated framework for algorithm selection and configuration for MPC applications. This framework aids the online implementation of MPC by selecting the best solution strategy and its tuning while accounting for solution quality and time. The proposed approach is applied to a mixed-integer economic MPC problem that arises in the operation of multiproduct process systems. The proposed approach allows us to (1) decide whether to use a heuristic or exact solution approach and (2) tune the exact algorithm if needed. The results show that machine learning can be used to guide the implementation of MPC and ultimately lead to lower average solution time while maintaining solution quality.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"95 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143713447","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}
Pub Date : 2025-03-27DOI: 10.1021/acs.iecr.4c04558
Kusuma Kulajanpeng, Nida Sheibat-Othman, Wiwut Tanthapanichakoon, Timothy F. L. McKenna
A multiscale steady state model of a multizone circulating reactor (MZCR) is developed for propylene homo- and copolymerization on supported pseudo-single-site catalyst. The model includes nonideal thermodynamics to describe monomer sorption effects, a population balance to predict the particle size distribution (PSD), momentum balances to describe the residence time distribution (RTD) of the particles, and a full kinetic model to calculate the polymerization rate, cumulative molecular weight (MWD), and chemical composition (CCD) distributions of a pseudo-single-site ZN catalyst. The model was first compared with the available literature data that was based on simplified kinetics and Henry’s law for monomer sorption. The full kinetic and thermodynamic models were then included to demonstrate that they are quite important to consider. The full model was then used to understand the relationship among the reactor operating conditions, reactor performance, and product characteristics in a commercial-scale MZCR reactor. When model predictions are compared to available patent data, the proposed model is shown to be capable of describing the MZCR performance in a large-scale operation as well as predicting the monomodal and bimodal shapes of the MWDs.
{"title":"Modeling of a Multizone Circulating Reactor for Gas-Phase Propylene (Co)Polymerization: From Pilot to Full Scale Reactors","authors":"Kusuma Kulajanpeng, Nida Sheibat-Othman, Wiwut Tanthapanichakoon, Timothy F. L. McKenna","doi":"10.1021/acs.iecr.4c04558","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c04558","url":null,"abstract":"A multiscale steady state model of a multizone circulating reactor (MZCR) is developed for propylene homo- and copolymerization on supported pseudo-single-site catalyst. The model includes nonideal thermodynamics to describe monomer sorption effects, a population balance to predict the particle size distribution (PSD), momentum balances to describe the residence time distribution (RTD) of the particles, and a full kinetic model to calculate the polymerization rate, cumulative molecular weight (MWD), and chemical composition (CCD) distributions of a pseudo-single-site ZN catalyst. The model was first compared with the available literature data that was based on simplified kinetics and Henry’s law for monomer sorption. The full kinetic and thermodynamic models were then included to demonstrate that they are quite important to consider. The full model was then used to understand the relationship among the reactor operating conditions, reactor performance, and product characteristics in a commercial-scale MZCR reactor. When model predictions are compared to available patent data, the proposed model is shown to be capable of describing the MZCR performance in a large-scale operation as well as predicting the monomodal and bimodal shapes of the MWDs.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"35 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143713488","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}
Pub Date : 2025-03-27DOI: 10.1021/acs.iecr.4c04757
Krishan Kant Singh, Gourab Karmakar, Pallavi Singhal, Adish Tyagi, Amit Kanjilal, Kamlesh K. Bairwa, Avesh K. Tyagi
This study presents the synthesis and performance evaluation of zeolitic imidazolate framework-67 (ZIF-67) polymer composites for uranium removal from aqueous solutions. The composites were synthesized by embedding ZIF-67 into poly(ether sulfone) (PES) beads via a phase inversion technique, yielding ZIF-67@PES beads. These beads are engineered for practical application in various aqueous streams, offering enhanced stability, reusability, and ease of operation. Furthermore, the uranium sorption capacity of the ZIF-67@PES composite was systematically evaluated under various physical conditions. The study examined the pH effect and equilibration time effect on uranium sorption, revealing that the beads achieved over 90% sorption efficiency within a pH of 3–7, and optimum sorption was achieved at pH 6, aligning with the pH of most natural water bodies. Kinetic analysis revealed that equilibrium was achieved within 90 min. The Langmuir isotherm model revealed a maximum uranium adsorption capacity of 83.26 mg U/g of the sorbent. ZIF-67@PES beads exhibited a superior performance compared to several previously reported sorbents, effectively removing uranyl ions while mitigating the effects of competing ions, underscoring their suitability for seawater treatment. Additionally, the beads exhibited successful sorption–desorption cycles, which demonstrated the beads’ reusability. The superior sorption capacity, selectivity, and reusability of ZIF-67@PES beads establish them as a promising material for uranium recovery, offering a sustainable approach to nuclear fuel resource management and environmental remediation.
{"title":"High-Performance Engineered ZIF-67@PES Beads for Uranium Extraction from Aqueous Solutions","authors":"Krishan Kant Singh, Gourab Karmakar, Pallavi Singhal, Adish Tyagi, Amit Kanjilal, Kamlesh K. Bairwa, Avesh K. Tyagi","doi":"10.1021/acs.iecr.4c04757","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c04757","url":null,"abstract":"This study presents the synthesis and performance evaluation of zeolitic imidazolate framework-67 (ZIF-67) polymer composites for uranium removal from aqueous solutions. The composites were synthesized by embedding ZIF-67 into poly(ether sulfone) (PES) beads via a phase inversion technique, yielding ZIF-67@PES beads. These beads are engineered for practical application in various aqueous streams, offering enhanced stability, reusability, and ease of operation. Furthermore, the uranium sorption capacity of the ZIF-67@PES composite was systematically evaluated under various physical conditions. The study examined the pH effect and equilibration time effect on uranium sorption, revealing that the beads achieved over 90% sorption efficiency within a pH of 3–7, and optimum sorption was achieved at pH 6, aligning with the pH of most natural water bodies. Kinetic analysis revealed that equilibrium was achieved within 90 min. The Langmuir isotherm model revealed a maximum uranium adsorption capacity of 83.26 mg U/g of the sorbent. ZIF-67@PES beads exhibited a superior performance compared to several previously reported sorbents, effectively removing uranyl ions while mitigating the effects of competing ions, underscoring their suitability for seawater treatment. Additionally, the beads exhibited successful sorption–desorption cycles, which demonstrated the beads’ reusability. The superior sorption capacity, selectivity, and reusability of ZIF-67@PES beads establish them as a promising material for uranium recovery, offering a sustainable approach to nuclear fuel resource management and environmental remediation.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"72 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143713489","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}
Pub Date : 2025-03-27DOI: 10.1021/acs.iecr.4c0433610.1021/acs.iecr.4c04336
Kailash Singh, and , Kaliaperumal Selvaraj*,
Anion exchange membrane water electrolyzer (AEMWE) is an emerging technology for large-scale hydrogen production, where membrane electrode assembly (MEA) plays a critical role in the electrolyzer efficiency. This study investigates the effects of different membranes (Piperion, Aemion, and Sustainion) and gaskets (Viton, poly(tetrafluoroethylene) (PTFE), and Silicon) using a non-platinum group metal (non-PGM) bifunctional electrocatalyst under fixed compression and flow rates. Membrane properties such as ionic resistance and diffusion and gasket properties like thermal suitability and compressibility significantly affect the overall performance of AEMWE. The results indicate that Sustainion and Aemion membranes are best suited for lab-scale and industrial applications, respectively, while Silicon and PTFE gaskets are optimal for corresponding scales. Understanding these effects can help to improve the efficiency and guide material selection. This study provides valuable insights for researchers developing AEMWE technology, enabling advancements from laboratory research to megawatt-level industrial hydrogen production and supporting the transition to clean-energy solutions.
{"title":"Material Selection for Enhanced Performance in Anion Exchange Membrane Water Electrolyzers: A Study of Membranes and Gaskets","authors":"Kailash Singh, and , Kaliaperumal Selvaraj*, ","doi":"10.1021/acs.iecr.4c0433610.1021/acs.iecr.4c04336","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c04336https://doi.org/10.1021/acs.iecr.4c04336","url":null,"abstract":"<p >Anion exchange membrane water electrolyzer (AEMWE) is an emerging technology for large-scale hydrogen production, where membrane electrode assembly (MEA) plays a critical role in the electrolyzer efficiency. This study investigates the effects of different membranes (Piperion, Aemion, and Sustainion) and gaskets (Viton, poly(tetrafluoroethylene) (PTFE), and Silicon) using a non-platinum group metal (non-PGM) bifunctional electrocatalyst under fixed compression and flow rates. Membrane properties such as ionic resistance and diffusion and gasket properties like thermal suitability and compressibility significantly affect the overall performance of AEMWE. The results indicate that Sustainion and Aemion membranes are best suited for lab-scale and industrial applications, respectively, while Silicon and PTFE gaskets are optimal for corresponding scales. Understanding these effects can help to improve the efficiency and guide material selection. This study provides valuable insights for researchers developing AEMWE technology, enabling advancements from laboratory research to megawatt-level industrial hydrogen production and supporting the transition to clean-energy solutions.</p>","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 14","pages":"7211–7219 7211–7219"},"PeriodicalIF":3.8,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143798851","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}
Pub Date : 2025-03-27DOI: 10.1021/acs.iecr.5c00861
Francesco Negri, Francesco Gallo, Flavio Manenti
The authors have provided a new set of Supporting Information, to maximize compatibility among users. Supporting Information now includes Aspen HYSYS simulation files in different formats, with improved convergence behavior. Furthermore, a revised TOC Graphic created according to the official ACS Guidelines has been provided. The revised TOC Graphic is entirely original, composed of unpublished artwork created by the authors. (1) The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.iecr.5c00861. Process simulation for bio-DME production developed in Aspen HYSYS software, available in multiple file formats (ZIP) Addition/Correction to ”Advancing Sewage SludgeValorization: Sustainable Biofuel Production through First-PrinciplesModeling and Process Simulation” 1 views 0 shares 0 downloads Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses). Permission may be obtained from ACS for other uses through requests via the RightsLink permission system: http://pubs.acs.org/page/copyright/permissions.html. This article references 1 other publications. This article has not yet been cited by other publications.
{"title":"Addition/Correction to ”Advancing Sewage Sludge Valorization: Sustainable Biofuel Production through First-Principles Modeling and Process Simulation”","authors":"Francesco Negri, Francesco Gallo, Flavio Manenti","doi":"10.1021/acs.iecr.5c00861","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c00861","url":null,"abstract":"The authors have provided a new set of Supporting Information, to maximize compatibility among users. Supporting Information now includes Aspen HYSYS simulation files in different formats, with improved convergence behavior. Furthermore, a revised TOC Graphic created according to the official ACS Guidelines has been provided. The revised TOC Graphic is entirely original, composed of unpublished artwork created by the authors. (1) The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.iecr.5c00861. Process simulation for bio-DME production developed in Aspen HYSYS software, available in multiple file formats (ZIP) Addition/Correction to ”Advancing Sewage Sludge\u0000Valorization: Sustainable Biofuel Production through First-Principles\u0000Modeling and Process Simulation” <span> 1 </span><span> views </span> <span> 0 </span><span> shares </span> <span> 0 </span><span> downloads </span> Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses). Permission may be obtained from ACS for other uses through requests via the RightsLink permission system: http://pubs.acs.org/page/copyright/permissions.html. This article references 1 other publications. This article has not yet been cited by other publications.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"183 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143713490","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}
Mass transfer is critical in liquid–liquid biphasic catalysis, with considerable attention focused on enhancing mass transfer primarily through increasing the interfacial area. However, the driving force, determined by the concentration gradient, has received far less attention. In this work, we introduce an alternative approach that not only maximizes the interfacial area and minimizes the mass transfer distance but also enhances the driving force through molecular interactions between amphiphilic polymers and substrates, resulting in an enhanced mass transfer process. Specifically, an amphiphilic polymer was synthesized with a positively charged hydrophilic segment and a hydrophobic segment containing a pyridine motif. The pyridine motif facilitates the attraction of chlorobenzene and dichloromethane to the water-organic interface, creating a concentration gradient that boosts the driving force. Meanwhile, negatively charged bacteria are drawn to the interface through electrostatic interactions, further reducing the mass transfer distance. As a result, the degradation of chlorobenzene and dichloromethane was improved utmost 3- and 5-fold than their controls, respectively. Considering the diverse forms of molecular interactions, this work demonstrates the concept of enhancing the driving force to intensify mass transfer processes, offering promising avenues for improving reaction efficiency in advanced biosynthesis.
{"title":"Molecular Interactions-Promoted Mass Transfer in Polymer-Stabilized Emulsions for the Biotransformation of Chlorinated Volatile Organic Compounds","authors":"Zhiyong Sun, Chengcheng Xu, Meng Wu, Yongyong Cao, Zhiliang Yu, Jianming Yu","doi":"10.1021/acs.iecr.5c00129","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c00129","url":null,"abstract":"Mass transfer is critical in liquid–liquid biphasic catalysis, with considerable attention focused on enhancing mass transfer primarily through increasing the interfacial area. However, the driving force, determined by the concentration gradient, has received far less attention. In this work, we introduce an alternative approach that not only maximizes the interfacial area and minimizes the mass transfer distance but also enhances the driving force through molecular interactions between amphiphilic polymers and substrates, resulting in an enhanced mass transfer process. Specifically, an amphiphilic polymer was synthesized with a positively charged hydrophilic segment and a hydrophobic segment containing a pyridine motif. The pyridine motif facilitates the attraction of chlorobenzene and dichloromethane to the water-organic interface, creating a concentration gradient that boosts the driving force. Meanwhile, negatively charged bacteria are drawn to the interface through electrostatic interactions, further reducing the mass transfer distance. As a result, the degradation of chlorobenzene and dichloromethane was improved utmost 3- and 5-fold than their controls, respectively. Considering the diverse forms of molecular interactions, this work demonstrates the concept of enhancing the driving force to intensify mass transfer processes, offering promising avenues for improving reaction efficiency in advanced biosynthesis.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"64 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143723830","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}