Balázs Péter Kiss, Csenge Emese Toth, István Slezsak, Zsolt Dobo, George Kaptay
{"title":"Carbon dioxide conversion and characterization of microwave-induced plasma","authors":"Balázs Péter Kiss, Csenge Emese Toth, István Slezsak, Zsolt Dobo, George Kaptay","doi":"10.1007/s11705-025-2563-0","DOIUrl":"10.1007/s11705-025-2563-0","url":null,"abstract":"<div><p>Microwave-induced non-thermal plasma technology is a promising solution to dissociate carbon dioxide, opening the possibility of carbon dioxide upgrade to value-added products and therefore providing an attractive approach in recent decarbonization endeavors. This study aims to comprehensively characterize and optimize microwave-induced pure carbon dioxide plasma focusing on the enhancement of conversion and energy efficiency. Analysis of optical emission spectra and gas composition under varying flow rates, introduced microwave power, and operating pressures was performed, while specific calculations were applied to support the measurement including electron concentration, electron temperature, and plasma gas temperature. A characteristic curve of carbon dioxide plasma is introduced as a novel outcome, which helps to elucidate the positive impact of applying reduced pressure. 46.4% carbon dioxide conversion efficiency was demonstrated by applying 5 NL·h<sup>−1</sup> flow rate, 80 mbar, and with 14.5 MJ·mol<sup>−1</sup> molar energy input utilizing only neat carbon dioxide, and achieved with continuous operation, without using any catalyst, in a straight waveguide system. The results indicate that lowering the pressure enhances the specific power absorption of plasma from the electromagnetic field through electron collisions, which increases the carbon dioxide conversion instead of converting it into heat.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":571,"journal":{"name":"Frontiers of Chemical Science and Engineering","volume":"19 7","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11705-025-2563-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162875","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}
{"title":"Multi-scale revolution of artificial intelligence in chemical industry","authors":"Ying Li, Quanhu Sun, Zutao Zhu, Huaqiang Wen, Saimeng Jin, Xiangping Zhang, Zhigang Lei, Weifeng Shen","doi":"10.1007/s11705-025-2562-1","DOIUrl":"10.1007/s11705-025-2562-1","url":null,"abstract":"<div><p>With the advent of the fourth technological revolution, the new generation of artificial intelligence (AI) has imparted new significance and opportunities to the modeling of momentum, heat, and mass transfer, as well as chemical reaction processes with the realm of chemical engineering. AI techniques are being widely employed in the chemical industry and are constantly evolving to offer more effective solutions for tackling practical challenges. This review delves the transformation of the chemical industry from traditional digital simulations to advanced AI-based approaches, targeting high efficiency and low carbon emissions across the scale from molecules to factories. Particular emphasis is mainly placed on the research carried out within the research group of Weifeng Shen. At the molecular level, the intelligent capture of molecular characteristics and the precise determination of structure-property relationships have reached a mature stage. Furthermore, multifunction-driven reverse molecular design for solvents, reaction reagents, and other substances has been accomplished through AI-based high-throughput screening and generative models. To improve the safety, environmental friendliness, and carbon reduction performance of chemical separation processes, a series of innovative reinforcement strategies have been put forward, with a primary focus on the systematic optimization of solvent design. On the process scale of actual production, it frequently occurs that the constructed mechanism model fails to align with the actual system behavior, thereby restricting the industrial application of the model. To solve this issue, mechanism-data hybrid-driven frameworks have been successfully developed, leveraging AI-enhanced prediction, diagnosis, optimization, and control for complex separation systems in practice. Finally, as a bridge connecting big data intelligent technology and actual industrial processes, dynamic digital twin modeling is discussed for its potential to boost efficiency and sustainability in the chemical industry.\u0000</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":571,"journal":{"name":"Frontiers of Chemical Science and Engineering","volume":"19 7","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145168823","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}
Yingchun Niu, Xi Zeng, Junjun Xia, Liang Wang, Yao Liu, Zhuang Wang, Mengying Li, Kairan Chen, Wenjun Zhong, Quan Xu
{"title":"Recent progress of green hydrogen production technology","authors":"Yingchun Niu, Xi Zeng, Junjun Xia, Liang Wang, Yao Liu, Zhuang Wang, Mengying Li, Kairan Chen, Wenjun Zhong, Quan Xu","doi":"10.1007/s11705-025-2551-4","DOIUrl":"10.1007/s11705-025-2551-4","url":null,"abstract":"<div><p>Overuse of fossil fuels led to energy crises and pollution. Thus, alternative energy sources are needed. Hydrogen, with its clean and high-density traits, is seen as a future energy carrier. Producing hydrogen from electricity can store renewable energy for a sustainable hydrogen economy. While much research on water electrolysis hydrogen production systems exists, comprehensive reviews of engineering applications are scarce. This review sums up progress and improvement strategies of common water electrolysis technologies (alkaline water electrolysis, proton exchange membrane water electrolysis, solid oxide water electrolysis, and anion exchange membrane water electrolysis, etc.), including component and material research and development. It also reviews these technologies by development and maturity, especially their engineering applications, discussing features and prospects. Bottlenecks of different technologies are compared and analyzed, and future directions are summarized. The aim is to link academic material research with industrial manufacturing.\u0000</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":571,"journal":{"name":"Frontiers of Chemical Science and Engineering","volume":"19 10","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145144671","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}
{"title":"The artificial intelligence-catalyst pipeline: accelerating catalyst innovation from laboratory to industry","authors":"Aoming Li, Peng Cui, Xu Wang, Adrian Fisher, Lanyu Li, Daojian Cheng","doi":"10.1007/s11705-025-2560-3","DOIUrl":"10.1007/s11705-025-2560-3","url":null,"abstract":"<div><p>The integration of high-throughput experimental technologies with artificial intelligence is transforming catalyst research and development. This study explores the synergistic convergence of artificial intelligence and high-throughput experimentation in chemical catalysis, highlighting both current and emerging experimental techniques. It examines how AI-driven methodologies enhance data analysis, automate complex decision-making processes, and optimize catalyst design for industrial applications. The future of research laboratories is envisioned as autonomous, self-driven environments that streamline and accelerate the transition from conceptualization to practical implementation. Key challenges, including data quality, model interpretability, and the scalability of industrial applications, are critically analyzed. Future research should focus on addressing these challenges through strategic methodologies, establishing a systematic framework to fully harness the potential of artificial intelligence and high-throughput experimentation. These advancements will enhance research efficiency and drive innovation in catalysis.\u0000</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":571,"journal":{"name":"Frontiers of Chemical Science and Engineering","volume":"19 7","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145165693","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}
{"title":"Supervised projection with adaptive label assignment for enhanced visualization and chemical process monitoring","authors":"Zhi Li, Junfeng Chen, Kaige Xue, Xin Peng","doi":"10.1007/s11705-025-2561-2","DOIUrl":"10.1007/s11705-025-2561-2","url":null,"abstract":"<div><p>Data-driven process monitoring methods are widely used in industrial tasks, with visual monitoring enabling operators to intuitively understand operational status, which is vital for maximizing industrial safety and production efficiency. However, high-dimensional industrial data often exhibit complex structures, making the traditional 2D visualization methods ineffective at distinguishing different fault types. Thus, a visual process monitoring method that combines supervised uniform manifold approximation and projection with a label assignment strategy is proposed herein. First, the proposed supervised projection method enhances the visualization step by incorporating label information to guide the nonlinear dimensionality reduction process, improving the degrees of class separation and intraclass compactness. Then, to address the lack of label information for online samples, a label assignment strategy is designed. This strategy integrates kernel Fisher discriminant analysis and Bayesian inference, assigning different label types to online samples based on their confidence levels. Finally, upon integrating the label assignment strategy with the proposed supervised projection method, the assigned labels enhance the separability of online projections and enable the visualization of unknown data to some extent. The proposed method is validated on the Tennessee Eastman process and a real continuous catalytic reforming process, demonstrating superior visual fault monitoring and diagnosis performance to that of the state-of-the-art methods, especially in real industrial applications.\u0000</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":571,"journal":{"name":"Frontiers of Chemical Science and Engineering","volume":"19 7","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144131491","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}
{"title":"Nano-modifiers enhance the performance of natural ester transformer oils: challenges and future directions","authors":"Deliang Guo, Zhuqi Xue, Yiming Yin, Haitao Duan, Xinru Wang, Linlin Duan, Sheng Han","doi":"10.1007/s11705-025-2556-z","DOIUrl":"10.1007/s11705-025-2556-z","url":null,"abstract":"<div><p>Natural esters exhibit excellent flame retardant and biodegradability, which help minimize power accidents and reduce environmental impact. These qualities make natural esters a promising alternative to conventional transformer insulating oils. However, the practical applications of natural esters in power equipment have been significantly restricted by their inherent limitations, including elevated viscosity, high dielectric loss, and poor oxidative stability. Nano-modification technologies present a novel methodological approach to solve these inherent constraints. A systematic analysis of the latest research developments in nano-modified natural ester transformer oils is provided in this review. The properties of various natural esters are examined, and their suitability as base fluids is evaluated, while the modification effects and mechanisms of typical nano-additives are comprehensively reviewed. The key role of nano-modification technology in improving the overall performance of natural esters is elucidated through detailed analysis of how nanoparticles influence physical properties, dielectric properties, and oxidative stability. In addition, the practical challenges facing nano-modification technology are addressed, providing valuable theoretical guidance for future developments in this field.\u0000</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":571,"journal":{"name":"Frontiers of Chemical Science and Engineering","volume":"19 6","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949413","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}
Zhaolong Zhang, Jingyi Ding, Yu Xia, Yuqin Lu, Lin Meng, Kang Huang, Zhi Xu
{"title":"Hydrophilic modification of polyethylene membrane for long life zinc-bromide flow batteries","authors":"Zhaolong Zhang, Jingyi Ding, Yu Xia, Yuqin Lu, Lin Meng, Kang Huang, Zhi Xu","doi":"10.1007/s11705-025-2557-y","DOIUrl":"10.1007/s11705-025-2557-y","url":null,"abstract":"<div><p>Zinc-bromine flow batteries are considered as one of the most promising energy storage devices with high energy density and low production price. However, its practical application is hampered by the short cycle life, which is mainly due to the uneven zinc deposition and the shuttle effect of bromide ions. Modification of membranes, an important part of zinc-bromine flow batteries, is a common approach to address these issues. In this study, inspired by the adhesion mechanism of filament proteins secreted by marine mussels, we propose a novel method for modifying polyethylene membranes with polydopamine. The self-polymerization of dopamine on a polyethylene membrane surface is simple and mild compared to traditional methods. This dopamine-based modification enhances the hydrophilicity of polyethylene membrane, improves ion transport, and reduces the pore size of the membranes, effectively blocking bromine ion shuttling. Additionally, polydopamine modification promotes uniform zinc deposition, further improving the battery performance. Consequently, the resulting PDA@PE-24 membrane demonstrates a significant improvement in both voltage and energy efficiencies, reaching 83.5% and 79.7%, respectively, under 20 mA·cm<sup>−2</sup>, compared to the 80.3% and 76.5% voltage and energy efficiencies, respectively, for unmodified polyethylene membranes. Furthermore, the cycle life of a single cell increased 4-fold, operating continuously for more than 2000 h.\u0000</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":571,"journal":{"name":"Frontiers of Chemical Science and Engineering","volume":"19 6","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144140146","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}
Shuyu Sun, Jiayu Song, Yinuo Zhang, Yaqun Ni, Qudi Zhang, Huanxin Zhang, Yuanda Du, Qiang Kong, Jiwei Liu
{"title":"Facile and fast synthesis of nitrogen-doped biocharsupported nanoscale ferrous sulfide composite for efficient removal of aqueous Cr(VI)","authors":"Shuyu Sun, Jiayu Song, Yinuo Zhang, Yaqun Ni, Qudi Zhang, Huanxin Zhang, Yuanda Du, Qiang Kong, Jiwei Liu","doi":"10.1007/s11705-025-2558-x","DOIUrl":"10.1007/s11705-025-2558-x","url":null,"abstract":"<div><p>In this work, a novel nitrogen-doped biochar-supported nanoscale ferrous sulfide composite (nFeS@NBC) was fabricated by pyrolyzing corn straw pretreated with Mohr’s salt through a one-step carbothermic reduction process, which was applied in the efficient disposal of hexavalent chromium (Cr(VI))-containing wastewater. The key effects of impregnation ratio and pyrolysis temperature on the properties and removal performance of nFeS@NBC for Cr(VI) were subsequently investigated. The properties of nFeS@NBC were characterized through a series of techniques. It indicated that FeS nanoparticles were successfully loaded and −NH<sub>2</sub> functional groups effectively formed on the biochar surface, which enhanced the removal performance of nFeS@NBC for Cr(VI) from wastewater. The removal performance of nFeS@NBC for Cr(VI) was systemically evaluated at different experimental conditions and in the presence of major co-existing ions. Adsorption kinetics was best suited to the pseudo-second-order model. Additionally, Langmuir isotherms model could well explain the adsorption experiment data for the removal of Cr(VI) by nFeS@NBC with the highest adsorption capacity of 373.85 mg·g<sup>−1</sup>. According to the thermodynamic study, nFeS@NBC dominated the adsorption of Cr(VI) through an endothermic and spontaneous process. The adsorption and reduction served as the main removal mechanisms of nFeS@NBC for aqueous Cr(VI). nFeS@NBC could be used repetitively for its regeneration. Thus, the above results showed that it was feasible and efficient to remove Cr(VI) by nFeS@NBC, providing a potential green material for environmental remediation.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":571,"journal":{"name":"Frontiers of Chemical Science and Engineering","volume":"19 6","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144140145","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}
Vladimir Guterman, Kirill Paperzh, Ilya Kantsypa, Elena Vetrova, Anatoly Metelitsa, Ilya Pankov, Yulia Pankova
{"title":"Kinetics of platinum nanoparticles nucleation in polyol synthesis over a wide pH range and properties of Pt/C catalysts","authors":"Vladimir Guterman, Kirill Paperzh, Ilya Kantsypa, Elena Vetrova, Anatoly Metelitsa, Ilya Pankov, Yulia Pankova","doi":"10.1007/s11705-025-2559-9","DOIUrl":"10.1007/s11705-025-2559-9","url":null,"abstract":"<div><p>This article presents a novel, facile method for studying the kinetics of liquid-phase synthesis of precious metal nanoparticles. The method is particularly suitable for use in concentrated solutions and under conditions involving gas purging and medium stirring. It is based on the continuous measurement of changes in the solution’s color components and the potential of an indicator electrode during the synthesis process. The method was applied to investigate the effect of solution pH on the kinetics of polyol synthesis of Pt nanoparticles and Pt/C electrocatalysts. The obtained Pt/C electrocatalysts demonstrate high structural-morphological and electrochemical characteristics, surpassing commercial analogs. The simplicity and efficiency of the “kinetic control” technique makes it promising for use in various liquid-phase synthesis technologies.\u0000</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":571,"journal":{"name":"Frontiers of Chemical Science and Engineering","volume":"19 6","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949478","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}
Jing Jiang, Caiyi Jia, Suyu Yang, Zhongxing Li, Lian Yang, Xiaofeng Wang, Changwei Zhu, Qian Li
{"title":"Unveiling lightweight and high impact tough polypropylene foams through compatibilized in situ fibrillation integrated chemical foam injection molding","authors":"Jing Jiang, Caiyi Jia, Suyu Yang, Zhongxing Li, Lian Yang, Xiaofeng Wang, Changwei Zhu, Qian Li","doi":"10.1007/s11705-025-2555-0","DOIUrl":"10.1007/s11705-025-2555-0","url":null,"abstract":"<div><p>Lightweight and robust polypropylene foams are essential for resource efficiency; however, the poor foaming ability of polypropylene remains a significant challenge in developing high-performance foams. This study proposes a scalable and cost-effective strategy that integrates <i>in situ</i> fibrillation reinforcement with chemical foam injection molding. Nanofibrillar polypropylene/polyamide 6 composites were fabricated via twin-screw compounding and melt spinning. For the first time, polyamide 6 nanofibrils were observed to exhibit selective dispersion with distinct morphologies in the skin and core layers of <i>in situ</i> fibrillation injection-molded samples. The incorporation of maleic anhydride-grafted polypropylene induced a 70% reduction in polyamide 6 nanofibril diameter. Rheological and crystallization analyses demonstrated that polyamide 6 fibrils significantly enhance polypropylene viscoelasticity and crystal nucleation rate, thereby improving foamability. Compared to polypropylene foam, <i>in situ</i> fibrillation composite foam exhibited a refined and homogeneous cellular structure, with a cell size of 61 µm and a cell density of 5.8 × 10<sup>5</sup> cells·cm<sup>−3</sup> in the core layer, alongside elongated cells in the skin layer. The synergistic effects of polyamide 6 nanofibrils and maleic anhydride-grafted polypropylene resulted in a 15.4% weight reduction and 100% enhancement in impact strength compared to polypropylene foam. This work provides new insights into developing lightweight, highperformance industrial porous materials.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":571,"journal":{"name":"Frontiers of Chemical Science and Engineering","volume":"19 6","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143900697","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}