Yiwei Cai, Guiying Li, Po-Keung Wong, Huijun Zhao, Taicheng An
{"title":"Photocatalytic/photoelectrocatalytic disinfection mediated the dissemination of antimicrobial resistance in aquatic environments","authors":"Yiwei Cai, Guiying Li, Po-Keung Wong, Huijun Zhao, Taicheng An","doi":"10.1016/j.coche.2026.101291","DOIUrl":"10.1016/j.coche.2026.101291","url":null,"abstract":"<div><div>Photocatalytic (PC) and photoelectrocatalytic (PEC) disinfection are promising technologies for inactivating antibiotic-resistant bacteria (ARB) and degrading antibiotic resistance genes (ARGs). However, their role in the spread of antimicrobial resistance (AMR) is complex and ambiguous. This review provides a comprehensive summary of the dual role of PC/PEC technologies in controlling AMR dissemination. The significant effect of PC/PEC in eliminating ARB and destroying ARGs through mechanisms such as oxidative damage to cell membranes, proteins, and genetic material is first summarized. Furthermore, although optimal lethal treatment can inhibit horizontal gene transfer by inactivating donor/recipient cells and degrading genetic vectors, sub-lethal or non-optimal PC/PEC exposures may enhance ARGs transfer. Finally, key future research perspectives are highlighted, with emphasis on enhancing reactive oxygen species efficiency, mitigating dissolved organic matter fouling and mass-transfer constraints, and developing integrated strategies to ensure these technologies mitigate rather than exacerbate AMR spread.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"53 ","pages":"Article 101291"},"PeriodicalIF":8.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148854341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianglin Peng, Yanheng Pan, Qingqing Kong, Yangjian Zhou, Xin Yang
{"title":"Potential impact of disinfection on the photochemical degradation of extracellular antibiotic resistance genes in wastewater-receiving aquatic environments","authors":"Jianglin Peng, Yanheng Pan, Qingqing Kong, Yangjian Zhou, Xin Yang","doi":"10.1016/j.coche.2026.101292","DOIUrl":"10.1016/j.coche.2026.101292","url":null,"abstract":"<div><div>The environmental persistence of extracellular antibiotic resistance genes (eARGs) after wastewater effluent discharge raises significant ecological and public health concerns. Photochemical degradation is considered as a key mechanism for natural attenuation of eARGs, however, its effectiveness is highly variable depending on the composition of dissolved organic matter (DOM) in aquatic systems. This perspective highlights that disinfection applied in wastewater treatment plants could be an important process that fundamentally reprograms the photochemical reactivity of DOM toward eARGs, in particular in wastewater effluent-receiving aquatic environments. Such reprogramming reshapes both the photosensitizing capacity and antioxidant properties of DOM, thereby altering the balance between photochemical damage and repair of eARGs. This perspective outlines a mechanistic framework linking DOM composition, disinfection mechanism, and photochemical fate of eARGs. Also, key knowledge gaps towards photodegradation of eARGs in wastewater-impacted environments are identified for future studies.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"53 ","pages":"Article 101292"},"PeriodicalIF":8.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148854340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christopher RK Windows-Yule, Charlie Brayson, Abhirup Roy
{"title":"Artificial intelligence in fluidisation technology: promise, progress and pitfalls","authors":"Christopher RK Windows-Yule, Charlie Brayson, Abhirup Roy","doi":"10.1016/j.coche.2026.101293","DOIUrl":"10.1016/j.coche.2026.101293","url":null,"abstract":"<div><div>Artificial intelligence (AI) has caused, and likely will continue to cause, seismic shifts in the way we live, work and conduct research. The field of fluidisation technology is by no means insulated from this shift. AI represents a tremendous opportunity to better understand and improve a wide variety of industrial processes, but also presents significant risks. If we in the fluidisation field wish to benefit maximally from the AI revolution, it is vital that both opportunities and risks are fully recognised, but that the former are not overstated, nor the latter understated. This brief perspective aims to provide a broad and balanced overview of the types of AI tools which are, or soon could be, implemented in fluidisation systems, outlining the state of the art, assessing maturity and highlighting the most significant issues and limitations. It examines the use of AI to develop data-driven predictive models; augment, accelerate or even entirely replace numerical simulations; enable process monitoring, control and digital twinning; automate post-processing and analysis; and optimise operating conditions, formulations and even equipment geometry. Although pilot- and commercial-scale studies demonstrate tangible value, the literature remains dominated by laboratory-scale work. Wider adoption will require rigorous industrial validation, improved AI literacy and greater attention to environmental and ethical impacts.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"53 ","pages":"Article 101293"},"PeriodicalIF":8.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148854403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Multiscale modeling of gas-particle systems: consistency, closures, and the correct governing equations","authors":"Max Hausmann , Berend van Wachem","doi":"10.1016/j.coche.2026.101264","DOIUrl":"10.1016/j.coche.2026.101264","url":null,"abstract":"<div><div>In the literature, there is a large variety of different equations that are claimed to be the ‘governing equations’ of gas–solid flows. One reason for the large variety of governing equations is that there exist many different ways to define a ‘resolved’ flow quantity that all come with different properties and implications. In the present paper, the existing approaches are structured, and it is clearly distinguished which parts of the governing equations are exact and which are modeled and therefore only valid under certain circumstances. We discuss what the different definitions of ‘resolved’ flow quantities mean physically and how they differ from the instantaneous flow quantities. We further discuss common misconceptions in closure modeling and how to preserve consistency throughout the simulation process, from the governing equations, over the discretization, to the interpretation of the results.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"52 ","pages":"Article 101264"},"PeriodicalIF":6.8,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mattia Galanti, Rens Teunissen, Ivo Roghair, Martin van Sint Annaland
{"title":"Toward consistent thermodynamic modeling of CO2 adsorption on Lewatit VPOC 1065 under dry conditions: isotherm variability, data gaps, and model fitting","authors":"Mattia Galanti, Rens Teunissen, Ivo Roghair, Martin van Sint Annaland","doi":"10.1016/j.coche.2025.101201","DOIUrl":"10.1016/j.coche.2025.101201","url":null,"abstract":"<div><div>Accurate thermodynamic characterization of CO<sub>2</sub> adsorption on solid amine-functionalized sorbents is essential for modeling and optimizing direct air capture (DAC) processes. This study presents a systematic compilation and comprehensive analysis of available adsorption isotherm data for Lewatit® VPOC 1065, one of the most studied benchmark sorbents for DAC applications. Six independent literature datasets were critically evaluated, revealing significant discrepancies in reported adsorption capacities and inconsistencies across the temperature and partial pressure ranges, particularly within the low-pressure regime relevant for DAC. Global fitting of a temperature-dependent Toth model was performed to investigate the capability of this widely used single-mechanism approach to capture experimental trends across the entire dataset. The Toth model demonstrated substantial limitations, particularly at low partial pressures, highlighting inadequacies in representing the complex adsorption behavior of the sorbent. Moreover, comparative analyses indicated that these limitations stem partially from inter-author variability, experimental uncertainties at ultra-low pressures, and potential unknown adsorption mechanisms, for example, a physisorption — chemisorption dual site mode. Based on these insights, future research directions were identified.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"51 ","pages":"Article 101201"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jia Wei Chew , Madhava Syamlal , Ronnie Andersson , Ray Cocco
{"title":"Modeling of industrial multiphase reactors","authors":"Jia Wei Chew , Madhava Syamlal , Ronnie Andersson , Ray Cocco","doi":"10.1016/j.coche.2025.101223","DOIUrl":"10.1016/j.coche.2025.101223","url":null,"abstract":"<div><div>Industrial multiphase reactors remain among the most challenging systems to model due to their complexity, multiscale coupling, and persistent uncertainties in turbulence, interphase transport, and constitutive closures. While traditional approaches combining first-principles physics, empirical correlations, and numerical pragmatism have enabled substantial progress, fundamental limitations persist. This perspective outlines how advances in artificial intelligence (AI), high-performance computing, and, eventually, quantum computing (QC) can steer multiphase modeling toward industry-ready predictive capability with an accuracy unthinkable today.</div><div>AI enables more generalizable, physics-constrained closures, while graphics processing units (GPUs) and exascale platforms already enable industry-scale simulations at unprecedented fidelity. Although QC is a longer-term prospect, hybrid quantum–classical approaches offer pathways to address complexities beyond classical limits. These developments promise to transform modeling workflows and engineering practice, with direct implications for scale-up, reliability, sustainability, and cost reduction. We highlight key research priorities, including multiphase-aware turbulence models, AI-assisted closures, hybrid solvers, computing architectures, and rigorous verification, validation, and uncertainty quantification.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"51 ","pages":"Article 101223"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145972962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kevin Fernández-Caso, Jurriaan Peeters, Ruud Kortlever
{"title":"Exploring the effect of temperature on the stability and scalability of CO2 electrolysis systems with copper electrodes","authors":"Kevin Fernández-Caso, Jurriaan Peeters, Ruud Kortlever","doi":"10.1016/j.coche.2026.101231","DOIUrl":"10.1016/j.coche.2026.101231","url":null,"abstract":"<div><div>The electrochemical reduction of CO<sub>2</sub> using copper-based catalysts represents a promising pathway for producing multi-carbon products from renewable energy. Temperature is a key parameter that not only determines reaction pathways and product selectivity but also strongly affects catalyst stability, electrolyte composition, and membrane integrity. Despite its importance, most studies have primarily focused on catalytic selectivity, often overlooking the thermal and stability aspects recently emphasized in the literature. This perspective underscores the central role of temperature in governing both catalytic performance and the physical and chemical resilience of electrolyzer components under low-temperature (20–80 °C) conditions. These factors become even more critical during scale-up, where heat management and transfer directly influence efficiency and long-term durability, similar to challenges in hydrogen production systems. A comprehensive understanding of thermal effects on both catalytic and non-catalytic elements is therefore essential for optimizing system performance. This work proposes experimental methodologies to evaluate the thermal and chemical stability of catalysts, electrolytes, and membranes, and outlines future research directions aimed at enabling the practical, efficient, and scalable deployment of CO<sub>2</sub> electrolysis through improved thermal design and integrated heat management.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"51 ","pages":"Article 101231"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lydia Weseler , Mohamed A Allam , Laia C Ibañez , Christina Roth , Thomas Turek
{"title":"Ionomers impact the performance of gas diffusion electrodes for electrochemical CO2 reduction","authors":"Lydia Weseler , Mohamed A Allam , Laia C Ibañez , Christina Roth , Thomas Turek","doi":"10.1016/j.coche.2026.101233","DOIUrl":"10.1016/j.coche.2026.101233","url":null,"abstract":"<div><div>Ionomers modulate the microenvironment in gas diffusion electrodes (GDEs) for electrochemical CO<sub>2</sub> reduction and can play a decisive role in the development of active and stable electrodes required for industrial implementation. This is achieved by different mechanisms influencing the adsorption and transport parameters, local values of pH and reactant concentrations as well as the wettability of the pore system. We analyze the existing literature describing the impact of ionomers on GDEs for CO<sub>2</sub> reduction on silver catalysts, yielding carbon monoxide, and on copper catalysts promoting the formation of C<sub>2+</sub> products. Despite remarkable progress in recent years, it is still challenging to attribute the changes in the electrode performance to the distinct roles of ionomers due to the multitude of processes occurring and the complexity of the electrodes. We propose to complement advanced experimental techniques for operando studies of working electrodes with simulations obtained from model systems with simplified architectures.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"51 ","pages":"Article 101233"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Edgar Martín-Hernández , Borja Hernández , Aurora del Carmen Munguia-Lopez , Sidney Omelon
{"title":"Artificial intelligence and machine learning for process and policy design in the transition towards circular economy systems: advancements and opportunities","authors":"Edgar Martín-Hernández , Borja Hernández , Aurora del Carmen Munguia-Lopez , Sidney Omelon","doi":"10.1016/j.coche.2025.101200","DOIUrl":"10.1016/j.coche.2025.101200","url":null,"abstract":"<div><div>Novel computational techniques raised under the concept of artificial intelligence have vast applications in science and engineering. In this work, we review the most relevant frameworks and applications of artificial intelligence and machine learning oriented to the development of sustainable production and consumption systems using a bottom-up multi-scale approach. Firstly, we address frameworks for molecular and processing unit design and flowsheet design. Secondly, we assess methods proposed for the environmental and social assessment of superstructures. Finally, we also discuss the contributions and applications of artificial intelligence in the development of policies that support the shift of paradigm to the circular economy.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"51 ","pages":"Article 101200"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145617270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Verónica Rodríguez, Celia Gómez-Sacedón, Paula Sánchez, Antonio de Lucas-Consuegra
{"title":"Anion exchange membrane electrolysis beyond the lab scale: a review on research and industry stacks","authors":"Verónica Rodríguez, Celia Gómez-Sacedón, Paula Sánchez, Antonio de Lucas-Consuegra","doi":"10.1016/j.coche.2025.101218","DOIUrl":"10.1016/j.coche.2025.101218","url":null,"abstract":"<div><div>This review provides a comprehensive overview of the current state-of-the-art in anion exchange membrane (AEM) water electrolysis stacks, bridging advances from both academic research and main supplier companies. On the one hand, academic studies address the key components and operating conditions of AEM stacks, including electrocatalysts for the hydrogen evolution reaction and oxygen evolution reaction, with particular emphasis on catalysts synthesis optimization, scalability, and the transition toward noble-metal-free alternatives. The selection and development of durable AEMs and porous transport layers, as well as parameters such as temperature, electrolyte composition, and concentration, are also examined as key factors that govern stack performance and stability. On the other hand, the principal AEM stacks that are commercially available were also reviewed to compare and evaluate industrial-scale AEM stack operation, thereby contextualizing academic advances within real-world performance.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"51 ","pages":"Article 101218"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}