Current Opinion in Chemical Engineering最新文献

英文中文

Photocatalytic/photoelectrocatalytic disinfection mediated the dissemination of antimicrobial resistance in aquatic environments 光催化/光电催化消毒介导水生环境中抗菌素耐药性的传播

IF 8.6 2区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Current Opinion in Chemical Engineering

Pub Date : 2026-09-01 Epub Date: 2026-08-25 DOI: 10.1016/j.coche.2026.101291

Yiwei Cai, Guiying Li, Po-Keung Wong, Huijun Zhao, Taicheng An

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.

光催化（PC）和光电催化（PEC）消毒是杀灭抗生素耐药菌（ARB）和降解抗生素耐药基因（ARGs）的有前途的技术。然而，它们在抗菌素耐药性（AMR）传播中的作用是复杂和模糊的。本文综述了PC/PEC技术在控制AMR传播中的双重作用。本文首先总结了PC/PEC通过对细胞膜、蛋白质和遗传物质的氧化损伤等机制在消除ARB和破坏ARGs方面的重要作用。此外，尽管最佳致死处理可以通过灭活供体/受体细胞和降解遗传载体来抑制水平基因转移，但亚致死或非最佳PC/PEC暴露可能会增强ARGs转移。最后，重点指出了未来的关键研究方向，重点是提高活性氧效率，减轻溶解有机物污染和传质限制，并制定综合策略以确保这些技术减缓而不是加剧AMR的传播。

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引用次数: 0

Potential impact of disinfection on the photochemical degradation of extracellular antibiotic resistance genes in wastewater-receiving aquatic environments 消毒对接收废水的水生环境中细胞外抗生素抗性基因光化学降解的潜在影响

IF 8.6 2区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Current Opinion in Chemical Engineering

Pub Date : 2026-09-01 Epub Date: 2026-08-26 DOI: 10.1016/j.coche.2026.101292

Jianglin Peng, Yanheng Pan, Qingqing Kong, Yangjian Zhou, Xin Yang

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.

细胞外抗生素耐药基因（eARGs）在废水排放后的环境持久性引起了重大的生态和公共卫生问题。光化学降解被认为是eARGs自然衰减的关键机制，然而，其有效性取决于水生系统中溶解有机物（DOM）的组成。这一观点强调，污水处理厂的消毒应用可能是一个重要的过程，从根本上重新编程DOM对eARGs的光化学反应性，特别是在污水接收水生环境中。这种重编程重塑了DOM的光敏能力和抗氧化性能，从而改变了eARGs光化学损伤和修复之间的平衡。这一观点概述了连接DOM组成、消毒机制和earg光化学命运的机制框架。此外，还确定了废水影响环境中egg光降解的关键知识空白，以供未来研究。

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引用次数: 0

Artificial intelligence in fluidisation technology: promise, progress and pitfalls 人工智能在流化技术中的应用：前景、进展与缺陷

IF 8.6 2区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Current Opinion in Chemical Engineering

Pub Date : 2026-09-01 Epub Date: 2026-08-26 DOI: 10.1016/j.coche.2026.101293

Christopher RK Windows-Yule, Charlie Brayson, Abhirup Roy

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.

人工智能（AI）已经并可能继续给我们的生活、工作和研究方式带来翻天覆地的变化。流化技术领域绝不可能不受这种转变的影响。人工智能为更好地理解和改进各种工业流程提供了巨大的机会，但也带来了巨大的风险。如果我们在流化领域希望最大限度地从人工智能革命中受益，那么充分认识机遇和风险是至关重要的，但前者不能被夸大，后者也不能被低估。这个简短的观点旨在提供一个广泛而平衡的概述，概述人工智能工具的类型，这些工具已经或即将在流化系统中实施，概述了最先进的技术，评估成熟度，并强调了最重要的问题和局限性。它研究了使用人工智能开发数据驱动的预测模型；增强、加速甚至完全取代数值模拟；支持过程监控、控制和数字孪生；自动后处理和分析；并优化操作条件，配方，甚至设备的几何形状。虽然试点和商业规模的研究显示了切实的价值，但文献仍然以实验室规模的工作为主。更广泛的采用将需要严格的工业验证，提高人工智能知识水平，并更加关注环境和道德影响。

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引用次数: 0

Multiscale modeling of gas-particle systems: consistency, closures, and the correct governing equations 气体-颗粒系统的多尺度建模：一致性、闭包性和正确的控制方程

IF 6.8 2区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Current Opinion in Chemical Engineering

Pub Date : 2026-06-01 Epub Date: 2026-05-26 DOI: 10.1016/j.coche.2026.101264

Max Hausmann , Berend van Wachem

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.

在文献中，有很多不同的方程被认为是气固流动的“控制方程”。控制方程种类繁多的一个原因是，存在许多不同的方法来定义“已分解”的流量，这些方法都具有不同的性质和含义。在本文中，现有的方法是结构化的，并且可以清楚地区分控制方程的哪些部分是精确的，哪些部分是建模的，因此只在某些情况下有效。我们讨论了“分解”流量的不同定义在物理上意味着什么，以及它们与瞬时流量有何不同。我们进一步讨论了闭合建模中常见的误解，以及如何在整个模拟过程中保持一致性，从控制方程到离散化，再到结果的解释。

引用次数: 0

Toward consistent thermodynamic modeling of CO2 adsorption on Lewatit VPOC 1065 under dry conditions: isotherm variability, data gaps, and model fitting 干燥条件下lewait VPOC 1065上CO2吸附的一致热力学模型：等温线变率，数据缺口和模型拟合

IF 6.8 2区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Current Opinion in Chemical Engineering

Pub Date : 2026-03-01 Epub Date: 2025-12-03 DOI: 10.1016/j.coche.2025.101201

Mattia Galanti, Rens Teunissen, Ivo Roghair, Martin van Sint Annaland

Accurate thermodynamic characterization of CO₂ 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.

准确的CO2吸附在固体胺功能化吸附剂上的热力学表征对于模拟和优化直接空气捕获（DAC）过程至关重要。本研究对lewait®VPOC 1065 （DAC应用中研究最多的基准吸附剂之一）的可用吸附等温线数据进行了系统的汇编和综合分析。对六个独立的文献数据集进行了严格评估，揭示了在不同温度和分压范围内，特别是在与DAC相关的低压范围内，报告的吸附能力存在显著差异和不一致性。对温度相关Toth模型进行了全局拟合，以研究这种广泛使用的单机制方法在整个数据集中捕捉实验趋势的能力。Toth模型显示出很大的局限性，特别是在低分压下，突出了在表示吸附剂的复杂吸附行为方面的不足。此外，对比分析表明，这些限制部分源于作者之间的差异、超低压力下实验的不确定性以及潜在的未知吸附机制，例如物理吸附-化学吸附双位点模式。在此基础上，确定了未来的研究方向。

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引用次数: 0

Modeling of industrial multiphase reactors 工业多相反应器的建模

IF 6.8 2区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Current Opinion in Chemical Engineering

Pub Date : 2026-03-01 Epub Date: 2026-01-13 DOI: 10.1016/j.coche.2025.101223

Jia Wei Chew , Madhava Syamlal , Ronnie Andersson , Ray Cocco

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.

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.

工业多相反应器由于其复杂性、多尺度耦合、湍流、相间输运和本构闭等方面的持续不确定性，仍然是最具挑战性的系统建模之一。虽然结合第一性原理物理学、经验相关性和数值实用主义的传统方法取得了实质性进展，但基本的局限性仍然存在。这一观点概述了人工智能（AI）、高性能计算以及最终量子计算（QC）的进步如何将多相建模引导到行业就绪的预测能力，其准确性在今天是不可想象的。人工智能支持更通用的、物理约束的闭包，而图形处理单元（gpu）和百亿亿级平台已经能够以前所未有的保真度实现工业规模的模拟。虽然量子质量控制是一个长期的前景，但混合量子经典方法提供了解决超越经典限制的复杂性的途径。这些发展有望改变建模工作流程和工程实践，并直接影响到规模扩大、可靠性、可持续性和成本降低。我们强调了关键的研究重点，包括多相感知湍流模型、人工智能辅助闭包、混合求解器、计算架构，以及严格的验证、验证和不确定性量化。

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引用次数: 0

Exploring the effect of temperature on the stability and scalability of CO2 electrolysis systems with copper electrodes 探讨温度对铜电极CO2电解系统稳定性和可扩展性的影响

IF 6.8 2区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Current Opinion in Chemical Engineering

Pub Date : 2026-03-01 Epub Date: 2026-02-05 DOI: 10.1016/j.coche.2026.101231

Kevin Fernández-Caso, Jurriaan Peeters, Ruud Kortlever

The electrochemical reduction of CO₂ 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 CO₂ electrolysis through improved thermal design and integrated heat management.

利用铜基催化剂对CO2进行电化学还原，为可再生能源生产多碳产品提供了一条很有前途的途径。温度不仅是决定反应途径和产物选择性的关键参数，而且对催化剂稳定性、电解质组成和膜完整性也有很大影响。尽管它很重要，但大多数研究主要集中在催化选择性上，往往忽略了文献中最近强调的热稳定性方面。这一观点强调了温度在控制低温（20-80°C）条件下电解槽组件的催化性能和物理和化学弹性方面的核心作用。这些因素在大规模生产过程中变得更加重要，热管理和转移直接影响效率和长期耐用性，类似于氢气生产系统的挑战。因此，全面了解催化和非催化元件的热效应对于优化系统性能至关重要。这项工作提出了实验方法来评估催化剂、电解质和膜的热稳定性和化学稳定性，并概述了未来的研究方向，旨在通过改进热设计和集成热管理，实现二氧化碳电解的实用、高效和可扩展部署。

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引用次数: 0

Ionomers impact the performance of gas diffusion electrodes for electrochemical CO2 reduction 离子对电化学CO2还原气体扩散电极性能的影响

IF 6.8 2区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Current Opinion in Chemical Engineering

Pub Date : 2026-03-01 Epub Date: 2026-02-14 DOI: 10.1016/j.coche.2026.101233

Lydia Weseler , Mohamed A Allam , Laia C Ibañez , Christina Roth , Thomas Turek

Ionomers modulate the microenvironment in gas diffusion electrodes (GDEs) for electrochemical CO₂ 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 CO₂ reduction on silver catalysts, yielding carbon monoxide, and on copper catalysts promoting the formation of C₂₊ 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.

离聚体调节气体扩散电极（GDEs）中的微环境，用于电化学CO2还原，并且可以在工业实施所需的活性和稳定电极的开发中发挥决定性作用。这是通过影响吸附和运输参数、局部pH值和反应物浓度以及孔隙系统润湿性的不同机制实现的。我们分析了现有文献中描述的离子对gde的影响，这些gde用于CO2还原，对银催化剂产生一氧化碳，对铜催化剂促进C2+产物的形成。尽管近年来取得了显著的进展，但由于发生的众多过程和电极的复杂性，将电极性能的变化归因于离聚体的不同作用仍然具有挑战性。我们建议补充先进的实验技术，以工作电极的operando研究与模拟得到的模型系统具有简化的架构。

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引用次数: 0

Artificial intelligence and machine learning for process and policy design in the transition towards circular economy systems: advancements and opportunities 在向循环经济系统过渡的过程和政策设计中的人工智能和机器学习：进步和机遇

IF 6.8 2区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Current Opinion in Chemical Engineering

Pub Date : 2026-03-01 Epub Date: 2025-11-29 DOI: 10.1016/j.coche.2025.101200

Edgar Martín-Hernández , Borja Hernández , Aurora del Carmen Munguia-Lopez , Sidney Omelon

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.

在人工智能概念下提出的新型计算技术在科学和工程中有着广泛的应用。在这项工作中，我们回顾了使用自下而上的多尺度方法开发可持续生产和消费系统的人工智能和机器学习的最相关框架和应用。首先，我们讨论了分子和处理单元设计以及流程设计的框架。其次，我们评估了为上层建筑的环境和社会评估提出的方法。最后，我们还讨论了人工智能在支持范式向循环经济转变的政策制定中的贡献和应用。

引用次数: 0

Anion exchange membrane electrolysis beyond the lab scale: a review on research and industry stacks 实验室规模以外的阴离子交换膜电解：研究和工业进展综述

IF 6.8 2区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Current Opinion in Chemical Engineering

Pub Date : 2026-03-01 Epub Date: 2026-01-02 DOI: 10.1016/j.coche.2025.101218

Verónica Rodríguez, Celia Gómez-Sacedón, Paula Sánchez, Antonio de Lucas-Consuegra

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.

本文综述了目前阴离子交换膜（AEM）电解技术的最新进展，并结合了学术研究和主要供应商公司的进展。一方面，学术研究涉及AEM堆的关键部件和操作条件，包括析氢反应和析氧反应的电催化剂，特别强调催化剂的合成优化、可扩展性以及向无贵金属替代品的过渡。耐用AEMs和多孔输运层的选择和开发，以及温度、电解质成分和浓度等参数，也被视为影响堆叠性能和稳定性的关键因素。另一方面，还回顾了主要的商用AEM堆栈，以比较和评估工业规模的AEM堆栈操作，从而将学术进展与现实世界的性能相结合。

引用次数: 0

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