Current Opinion in Chemical Engineering最新文献_第5页

Direct air capture: recent progress in materials, equipment, and process engineering 直接空气捕获：材料、设备和工艺工程的最新进展

IF 6.8 2区工程技术

Current Opinion in Chemical Engineering Pub Date : 2025-12-01 Epub Date: 2025-11-14 DOI: 10.1016/j.coche.2025.101197

Yongxin Hu , Xingyang Li , Teng Zhou

引用次数: 0

Extraction of noble metals and rare earth elements using plants 利用植物提取贵金属和稀土元素

IF 6.8 2区工程技术

Current Opinion in Chemical Engineering Pub Date : 2025-12-01 Epub Date: 2025-10-16 DOI: 10.1016/j.coche.2025.101192

Helga Kovacs

{"title":"Extraction of noble metals and rare earth elements using plants","authors":"Helga Kovacs","doi":"10.1016/j.coche.2025.101192","DOIUrl":"10.1016/j.coche.2025.101192","url":null,"abstract":"<div><div>Noble metals (NMs) and rare earth elements (REEs) are becoming increasingly crucial in modern industry, particularly in green high-tech applications. As demand for these valuable metals continues to surge, their natural reserves are being depleted. Therefore, recovery of high-value metals from secondary minerals is essential for sustainable development. Phytomining has emerged as a sustainable approach for recovering NMs and REEs from alternative resources, offering a promising and sustainable solution for the production of these valuable metals. This study provides a glimpse of the overall phytoextraction-enrichment-extraction concept, with a particular focus on the final stage of extraction to reclaim NMs and REEs from bio-ores. Although phytomining has been effectively implemented for Ni across various scales, its application to NMs and REEs remains in its early stages. Within the phytoextraction-enrichment-extraction chain, the extraction phase plays a critical role in reclaiming these valuable elements. However, research on extracting NMs and REEs from biomass residues is currently scarce. This gap of knowledge likely arises from the novelty of the field, presenting both significant challenges and promising opportunities for further study. Moreover, existing extraction techniques have largely relied on pyrometallurgical and hydrometallurgical methods, both of which pose environmental concerns and entail high operational costs. Therefore, it is essential to investigate and advance eco-friendly, innovative techniques, with a particular focus on bio-metallurgy, to efficiently recover NMs and REEs from biomass ashes.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"50 ","pages":"Article 101192"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324347","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}

引用次数: 0

Microplastics and antibiotics in agricultural soil: mechanisms and implications of co-contamination 农业土壤中的微塑料和抗生素：共同污染的机制和影响

IF 6.8 2区工程技术

Current Opinion in Chemical Engineering Pub Date : 2025-12-01 Epub Date: 2025-09-19 DOI: 10.1016/j.coche.2025.101181

Maoyuan Liao , Leilei Xiang , Yu Wang , Yuhao Fu , Jean D Harindintwali , Xin Jiang , Martin Elsner , Matthias C Rillig , Fang Wang

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引用次数: 0

Exploring beyond experiment: generating high-quality datasets of transition metal complexes with quantum chemistry and machine learning 探索超越实验：用量子化学和机器学习生成高质量的过渡金属配合物数据集

IF 6.8 2区工程技术

Current Opinion in Chemical Engineering Pub Date : 2025-12-01 Epub Date: 2025-10-04 DOI: 10.1016/j.coche.2025.101189

Jacob W Toney , Aaron G Garrison , Weiliang Luo , Roland G St. Michel , Sukrit Mukhopadhyay , Heather J Kulik

{"title":"Exploring beyond experiment: generating high-quality datasets of transition metal complexes with quantum chemistry and machine learning","authors":"Jacob W Toney , Aaron G Garrison , Weiliang Luo , Roland G St. Michel , Sukrit Mukhopadhyay , Heather J Kulik","doi":"10.1016/j.coche.2025.101189","DOIUrl":"10.1016/j.coche.2025.101189","url":null,"abstract":"<div><div>Machine learning (ML) approaches enable screening of the vast chemical space of transition metal complexes (TMCs) at faster speeds than either experimental approaches or <em>ab initio</em> calculations, but their quality is highly dependent on the reference data used. Existing TMC datasets often leverage experimental structures, which biases methods trained on this data away from reactive configurations. Calculating properties of these TMCs also introduces challenges of spin and oxidation state assignment. Recent work on generating hypothetical TMCs with realistic connectivity and geometry has demonstrated promise to extend datasets beyond experimental structures, especially when combined with ML approaches to identify complexes with desirable properties. Experimental measurements would be ideal to train and/or test these models but are often scarce for TMCs, especially for those that are catalytically active. Thus, properties calculated with electronic structure theory are a popular alternative choice for training ML models. However, TMCs are challenging for many conventional electronic structure methods, and few benchmark datasets exist to assess which methods are most reliable and cost-effective. Many of the recommended methods are computationally demanding, leading to the use of neural network potentials as surrogate models for large-scale screening. By utilizing emerging tools for TMC structure generation and suitable electronic structure methods, increasingly high-quality datasets will be curated to enhance the predictive power of ML approaches to discover novel TMCs, including in the development of neural network potentials. By more accurately predicting TMC properties, promising and practical candidates for catalysis, photosensitizers, molecular devices, and medicine will be identified.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"50 ","pages":"Article 101189"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217613","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}

引用次数: 0

Editorial overview: Microplastics and nanoplastics in the environment: progress and prospects 编辑概述：环境中的微塑料和纳米塑料：进展与展望

IF 6.8 2区工程技术

Current Opinion in Chemical Engineering Pub Date : 2025-12-01 Epub Date: 2025-11-11 DOI: 10.1016/j.coche.2025.101196

Nisha Singh , Damià Barceló , Kirpa Ram , Julien Gigault

引用次数: 0

Two keys to scalable direct air capture: water management and contactor productivity 可扩展的直接空气捕获的两个关键：水管理和接触器生产率

IF 6.8 2区工程技术

Current Opinion in Chemical Engineering Pub Date : 2025-12-01 Epub Date: 2025-11-15 DOI: 10.1016/j.coche.2025.101198

Seo-Yul Kim , Hannah E Holmes , Matthew J Realff , Christopher W Jones , Ryan P Lively

{"title":"Two keys to scalable direct air capture: water management and contactor productivity","authors":"Seo-Yul Kim , Hannah E Holmes , Matthew J Realff , Christopher W Jones , Ryan P Lively","doi":"10.1016/j.coche.2025.101198","DOIUrl":"10.1016/j.coche.2025.101198","url":null,"abstract":"<div><div>Amine-based solid sorbent direct air capture (DAC) systems face two primary cost drivers: water management and contactor productivity. Water desorption during the regeneration step in temperature vacuum swing adsorption (TVSA) imposes significant energy penalties, while water uptake during regeneration in steam-assisted systems leads to substantial water losses. These penalties remain underexplored, particularly in steam-based processes, and are compounded by the limited availability of reliable CO<sub>2</sub>/H<sub>2</sub>O selectivity data under DAC conditions. More targeted efforts at the material level are needed to enhance CO<sub>2</sub>/H<sub>2</sub>O selectivity without sacrificing CO<sub>2</sub> capacity. On the productivity side, most DAC research has focused on sorbent materials, leaving contactor design comparatively underdeveloped. A critical gap remains in understanding how geometric parameters, such as channel width, wall thickness, and pattern spacing in complex architectures, govern key contactor productivity drivers like sorbent loading, pressure drop, mass transfer, and heat transfer. This gap has hindered the development of generalized contactor design principles for high productivity and low-cost DAC. While 3D printing and related technologies now enable increasingly complex contactor geometries, their potential cannot be realized without this foundational understanding. Moreover, trade-offs between structural complexity and manufacturing scalability are rarely quantified, making it difficult to evaluate the techno-economic viability of advanced contactor architectures. This opinion highlights the need to move beyond sorbent-centered design toward an integrated, multiscale approach that spans sorbent, contactor, and process levels for improved water management and contactor productivity in scalable DAC systems.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"50 ","pages":"Article 101198"},"PeriodicalIF":6.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145516572","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}

引用次数: 0

Emerging nonthermal technologies for food safety: trends, limitations, and future research 新兴的食品安全非热技术：趋势、限制和未来研究

IF 6.8 2区工程技术

Current Opinion in Chemical Engineering Pub Date : 2025-09-01 Epub Date: 2025-09-02 DOI: 10.1016/j.coche.2025.101178

Adrian Yaya-González , Jessica Laika , Yeimmy Peralta-Ruiz

引用次数: 0

Kinetic modeling for radical polymerization and depolymerization 自由基聚合与解聚的动力学模型

IF 8 2区工程技术

Current Opinion in Chemical Engineering Pub Date : 2025-09-01 Epub Date: 2025-06-06 DOI: 10.1016/j.coche.2025.101152

Yue Fang, Hanyu Gao

引用次数: 0

Electrochemical organic waste conversion: a route toward food security and a circular economy 电化学有机废物转化：实现粮食安全和循环经济的途径

IF 8 2区工程技术

Current Opinion in Chemical Engineering Pub Date : 2025-09-01 Epub Date: 2025-06-18 DOI: 10.1016/j.coche.2025.101156

Daniela Ferreira-Garcia , Suhail Haque , Ben Burke , Ariel L Furst , Gerardine G Botte

引用次数: 0

Editorial overview: Kinetic models for radical polymerization and polymer recycling 编辑概述：自由基聚合和聚合物回收的动力学模型

IF 8 2区工程技术

Current Opinion in Chemical Engineering Pub Date : 2025-09-01 Epub Date: 2025-06-21 DOI: 10.1016/j.coche.2025.101164

Jie Jin, Yin-Ning Zhou, Zheng-Hong Luo

引用次数: 0