Green Chemical Engineering最新文献

{"title":"COSMO-RS screening of organic mixtures for membrane extraction of aromatic amines: TOPO-based mixtures as promising solvents","authors":"Gilles Van Eygen ,&nbsp;Catherine Echezuria ,&nbsp;Anita Buekenhoudt ,&nbsp;João A.P. Coutinho ,&nbsp;Bart Van der Bruggen ,&nbsp;Patricia Luis","doi":"10.1016/j.gce.2024.10.003","DOIUrl":"10.1016/j.gce.2024.10.003","url":null,"abstract":"<div><div>Aromatic amines are crucial in pharmaceuticals, but their synthesis is challenging due to unfavorable reaction equilibria and the use of costly, environmentally unfriendly methods. This study presents a membrane extraction (ME) process for <em>in situ</em> product removal (ISPR) of aromatic amines. Using a supported liquid membrane (SLM), <span><math><mrow><mi>α</mi></mrow></math></span>-methylbenzylamine (MBA) and 1-methyl-3-phenylpropylamine (MPPA) were separated from isopropyl amine (IPA). Conductor-like Screening Model for Real Solvents (COSMO-RS) was employed to screen over 200 organic mixtures, identifying twelve mixtures based on trioctylphosphine oxide (TOPO), lidocaine, and menthol as solvent candidates, due to their hydrophobicity. These mixtures were analysed for critical solvent properties including density, viscosity, hydrophobicity, and H-bonding interactions. ME tests showed TOPO-thymol had the highest solvent residual and selectivity. Moreover, TOPO-thymol demonstrated solute fluxes of 9.0±3.0 g/(m² h) for MBA, 16.5±5.4 g/(m² h) for MPPA, and 0.7±0.3 g/(m² h) for IPA, with selectivity values of 12.4±0.8 for MBA/IPA and 22.8±1.4 for MPPA/IPA. Compared to undecane, which had lower selectivity values of 6.9±0.8 for MBA/IPA and 10.1±1.3 for MPPA/IPA, TOPO-thymol showed superior selectivity, indicating its promise as an extractant for ME applications.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 2","pages":"Pages 263-274"},"PeriodicalIF":9.1,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CO2 capture and conversion using graphene-based materials: a review on recent progresses and future outlooks","authors":"Mutawakkil Isah ,&nbsp;Ridhwan Lawal ,&nbsp;Sagheer A. Onaizi","doi":"10.1016/j.gce.2024.09.009","DOIUrl":"10.1016/j.gce.2024.09.009","url":null,"abstract":"<div><div>Rapidly increasing global atmospheric carbon dioxide (CO₂) concentration poses a serious threat to life on Earth. Conventional CO₂ capture methodologies which rely on using sorbents to capture CO₂ from point sources while effective in curbing the rate of CO₂ increase, fall short of achieving net reduction. The last decade has witnessed a surge in the development of chemical sorbents cycled through adsorption-desorption processes for CO₂ extraction from low-concentration sources like air (<em>e.g.</em>, Direct Air Capture (DAC)). However, the efficiency of these technologies hinges on the creation of next-generation materials. Graphene, a revolutionary material discovered about two decades ago, offers great promise for CO₂ capture and conversion. This single-atom-thick sheet of sp²-hybridized carbon atoms has unique and tuneable properties, solidifying its position as the most extensively studied nanomaterial of the 21^st century. This review provides a comprehensive overview of the developing field of graphene-based materials for CO₂ capture and conversion. The discussion begins with an exploration of the synthesis techniques for graphene and the integration of foreign elements to tune its properties for targeted applications. Subsequently, the review discusses the utilization of graphene and its derivatives in both CO₂ capture and conversion processes, encompassing photocatalytic and electrocatalytic conversion methods. Despite the immense potential, the practical implementation of graphene-based DAC necessitates further exploration and development. Notably, engineering efficient of graphene-air interfacial contact is paramount to expediting the deployment of DAC as a viable strategy for mitigating climate change. The review concludes by highlighting gaps for future research to tackle challenges in this critical area of environmental pollution mitigation.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 3","pages":"Pages 305-334"},"PeriodicalIF":9.1,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synergistic enhancement of pollutant removal from high-salt wastewater using coagulation-flotation combined process","authors":"Enze Li ,&nbsp;Jing Dong ,&nbsp;Yongsheng Jia ,&nbsp;Zihe Pan ,&nbsp;Hongzhou Lv ,&nbsp;Zhiping Du ,&nbsp;Guandao Gao ,&nbsp;Fangqin Cheng","doi":"10.1016/j.gce.2024.09.006","DOIUrl":"10.1016/j.gce.2024.09.006","url":null,"abstract":"<div><div>Sufficient treatment of industrial organic wastewater with high salt and large amounts of suspended particulate matter remains a challenge worldwide. In this work, a novel coagulation-flotation combined process was developed to treat the suspended particles as well as significantly reduce organic pollutants content in the actual high-salt organic wastewater. Four typical inorganic and organic flocculants (poly aluminum chloride (PAC), poly ferric sulfate (PFS), polyacrylamide (PAM), and modified cationic starch (CS)) were selected for compounding to obtain an optimized flocculation system for high-salt wastewater. The results showed that the PAC-PAM with a 10:1 ratio in mass exhibited the best coagulation behaviors with the removal efficiency of turbidity and chemical oxygen demand (COD) being 95.33% and 9.21%, respectively, under the optimal operation conditions, and the sedimentation process of coagulant conformed to the quasi-second-order kinetics. The PAC-PAM flocs exhibited stronger netting, sweeping, and adsorption bridging capabilities, which were conducive to removing suspended particles. When the flotation was conducted after coagulation, the COD decreased significantly by 20.82%. In addition, this combined process could reduce the treatment time by 50% compared to the process with only coagulation treatment. During the flotation process, floc particles companies with hydrophobic polycyclic aromatic hydrocarbons could collide and adhere to microbubbles and be floated to the surface, resulting in an effective reduction of COD. This work could provide a novel strategy and step forward to design and optimize the pretreatment process engineering for organic high-salt wastewater.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 3","pages":"Pages 410-419"},"PeriodicalIF":9.1,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synergistic coordination-regulated separation of nickel and cobalt from spent Ni(II) and Co(II) bearing choline chloride/ethylene glycol electrolyte: theoretical and experimental investigations","authors":"Chaowu Wang ,&nbsp;Jie Wang ,&nbsp;Qibo Zhang","doi":"10.1016/j.gce.2024.09.003","DOIUrl":"10.1016/j.gce.2024.09.003","url":null,"abstract":"<div><div>Developing efficient and environmentally friendly metal recovery technologies from secondary resources is crucial for enhancing resource utilization and promoting environmental sustainability. However, metals with similar physicochemical properties pose significant challenges in the recovery process, particularly for nickel and cobalt. Herein, we present a coordination-regulated approach utilizing water-, temperature-, and pH-codrived to achieve sequential precipitation recovery of nickel and cobalt from waste choline chloride/ethylene glycol (Ethaline) electrolyte containing Ni(II) and Co(II) ions. By carefully adjusting water content, temperature, and pH, we can control the speciation of Ni(II) ([NiCl(H₂O)₂(EG)₂]⁺) and Co(II) ([CoCl₂(H₂O)₂(EG)₂]⁰) ions in the Ethaline-based electrolyte, thereby facilitating nickel preferential precipitation. Additionally, further introducing water into the Co(II)-rich phase promotes the formation of [CoCl(H₂O)₃(EG)₂]⁺ complex ions, leading to efficient separation of cobalt. When oxalic acid is used as a precipitant, the recovery efficiencies for nickel and cobalt reach 96.3% and 97.5%, respectively, with purities of 97.8% and 98.5%. Importantly, distilling the water-containing solvent allows for regeneration of Ethaline with a yield rate as high as 97.1%, while maintaining its structural stability. This proposed strategy offers a promising pathway for sustainable metal recovery from spent Ethaline electrolytes containing metal ions while enabling solvent regeneration.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 3","pages":"Pages 398-409"},"PeriodicalIF":9.1,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"OFC: Outside Front Cover","authors":"","doi":"10.1016/S2666-9528(24)00045-1","DOIUrl":"10.1016/S2666-9528(24)00045-1","url":null,"abstract":"","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"5 4","pages":"Page OFC"},"PeriodicalIF":9.1,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666952824000451/pdfft?md5=094a38a90501c3a97f2ce0a27801f2ef&pid=1-s2.0-S2666952824000451-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142128410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Outside Back Cover","authors":"","doi":"10.1016/S2666-9528(24)00053-0","DOIUrl":"10.1016/S2666-9528(24)00053-0","url":null,"abstract":"","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"5 4","pages":"Page OBC"},"PeriodicalIF":9.1,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666952824000530/pdfft?md5=af795b0248bf563655e9449cbc9c6f66&pid=1-s2.0-S2666952824000530-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142128411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced data-driven techniques in AI for predicting lithium-ion battery remaining useful life: a comprehensive review","authors":"Sijing Wang ,&nbsp;Ruoyu Zhou ,&nbsp;Yijia Ren ,&nbsp;Meiyuan Jiao ,&nbsp;Honglai Liu ,&nbsp;Cheng Lian","doi":"10.1016/j.gce.2024.09.001","DOIUrl":"10.1016/j.gce.2024.09.001","url":null,"abstract":"<div><div>As artificial intelligence (AI) technology evolves, data-driven approaches are gaining attention in predicting lithium-ion battery's remaining useful life (RUL). Indeed, accurate RUL prediction is challenging, primarily because of the complex nature of the work and dynamic shifts in model parameters. To address these challenges, this article comprehensively explores five significant publicly accessible lithium-ion battery datasets, encompassing diverse usage conditions and battery types, offering researchers a rich repository of experimental data. In particular, we not only provide detailed information and access addresses for each dataset, but also present, four innovative methods for battery aging health factor extraction. These methods, based on advanced AI techniques, are able to effectively identify and quantify key indicators of battery performance degradation, thereby enhancing the precision and dependability of RUL prediction. Additionally, the article identifies major challenges faced by current predictive techniques, including data quality, model generalization capabilities, and computational cost, highlighting the need for research focused on dataset diversity, multiple algorithm fusion, and hybrid physical-data-driven models to enhance prediction accuracy. We believe that this review will help researchers gain a comprehensive understanding of RUL estimation methods and promote the development of AI in battery.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 2","pages":"Pages 139-153"},"PeriodicalIF":9.1,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating ionic liquid toxicity with machine learning and structural similarity methods","authors":"Rongli Shan ,&nbsp;Runqi Zhang ,&nbsp;Ying Gao ,&nbsp;Wenxin Wang ,&nbsp;Wenguang Zhu ,&nbsp;Leilei Xin ,&nbsp;Tianxiong Liu ,&nbsp;Yinglong Wang ,&nbsp;Peizhe Cui","doi":"10.1016/j.gce.2024.08.008","DOIUrl":"10.1016/j.gce.2024.08.008","url":null,"abstract":"<div><div>Ionic liquids (ILs) have garnered significant interest owing to their distinct physicochemical traits. Nonetheless, their extensive application is curtailed by ecotoxicity concerns. This study aimed to develop a quantitative structure-activity relationship (QSAR) model for predicting the toxicity of ILs in biological cells. Toxicity data of ILs on leukemia rat cell line IPC-81, <em>Escherichia coli</em> (<em>E. coli</em>), and acetylcholinesterase (AChE) were collected from open-source databases, and two integrated models, random forest (RF) and gradient boosted decision tree (GBDT), were used to train the data. The molecular structures of the ILs were represented by three different methods, namely molecular descriptor (MD), molecular fingerprint (MF), and molecular identifier (MI), respectively. The Tanimoto similarity coefficients indicate that MD has a stronger ability to recognize structural similarity. Statistical metrics of model performance showed that the two models (MD-RF and MD-GBDT) with MD as an input feature performed better in the three datasets. The application of the SHapley Additive exPlanations (SHAP) method explains the importance of different features. Specifically, reducing the carbon chain length and the number of fluorine atoms in the structure of ILs can effectively reduce their toxic effects on biological cells. This study employs machine learning to grasp better how the structure of ILs relates to inhibiting biotoxicity, offering insights for crafting safer, eco-friendly IL designs.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 2","pages":"Pages 249-262"},"PeriodicalIF":9.1,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Constructing potassium and hydroxyl co-doped dual-dipole structures on highly active 3D g-C3N4 surfaces for highly boosting photocatalytic hydrogen peroxide production efficiency in pure water","authors":"Jiaxing Wu ,&nbsp;Jiajie Yu ,&nbsp;Fan Fan ,&nbsp;Runhua Li ,&nbsp;Mengxiang Wang ,&nbsp;Gang Li ,&nbsp;Yuting Wang ,&nbsp;Yongpeng Cui ,&nbsp;Daoqing Liu ,&nbsp;Yajun Wang ,&nbsp;Wenqing Yao","doi":"10.1016/j.gce.2024.08.006","DOIUrl":"10.1016/j.gce.2024.08.006","url":null,"abstract":"<div><div>Producing hydrogen peroxide (H₂O₂) through visible-light-driven photocatalytic oxygen reduction in pure water is crucial for sustainable ecological applications but poses significant challenges. It include the rapid recombination of electron-hole pairs and a scarcity of effective catalytic sites, which traditionally limit the process efficiency. To address these issues, we have developed a novel catalyst, designated as KCNOH, which consists of a three-dimensional (3D) porous g-C₃N₄ framework doped with potassium (K⁺) and modified with surface hydroxyl groups (–OH). This design significantly enhances H₂O₂ yield, achieving 91.36 μmol g⁻¹ h⁻¹ (cut 420 nm)—a yield approximately 36 times higher than conventional bulk g-C₃N₄ (2.57 μmol g⁻¹ h⁻¹). The introduction of a 3D porous structure provides an abundance of active-sites. The dual-dipole mechanism, facilitated by K⁺ ions and hydroxyl groups, plays a pivotal role by efficiently transporting photogenerated electrons and consuming holes, respectively. Through density functional theory (DFT) calculations, the changes in the band structure of the catalyst caused by the doping of K⁺ and the grafting of –OH were elucidated. In addition, the transition state affinity of oxygen induced by the –OH was also studied to reveal the synergistic catalytic mechanism. This mechanism markedly reduces carrier recombination and accelerates charge migration, underscoring its importance in catalyst design. Our findings not only improve the understanding of charge dynamics but also open novel perspectives for the design of highly-efficient composite materials, which is crucial for energy and environmental applications.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 3","pages":"Pages 388-397"},"PeriodicalIF":9.1,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient removal and reusage of acid soluble oil in waste H2SO4 of isobutane alkylation by low-temperature carbonization process","authors":"Zhihong Ma,&nbsp;Weizhong Zheng,&nbsp;Kexin Yan,&nbsp;Qiaoling Zhang,&nbsp;Weizhen Sun,&nbsp;Ling Zhao","doi":"10.1016/j.gce.2024.08.007","DOIUrl":"10.1016/j.gce.2024.08.007","url":null,"abstract":"<div><div>Waste H₂SO₄ from industrial isobutane alkylation, a hazardous thick liquid with a high concentration of acid soluble oil (ASO) impurities, poses challenges in the regeneration process. Herein, an innovative low-temperature carbonization process was proposed to convert waste H₂SO₄ into the regenerated concentrated H₂SO₄ and sulfonated activated carbon materials (SACMs) under mild reaction conditions. The optimal reaction temperature is identified at 423.15 K with the highest total organic carbon (TOC) removal of 90.57%. The high-purity regenerated H₂SO₄ with a concentration of 95% as a catalyst for isobutane alkylation exhibits excellent catalytic performance with 94.54 research octane number (RON) of the alkylate. SACMs, characterized as a novel porous carbon material with plentiful hydroxyl, carboxylic acid, and sulfonic acid functional groups, demonstrate an efficient catalytic activity in the dimerization of lactic acid to produce lactide with a yield of 46.95%. Hopefully, the novel recovery process provides a promising application to optimize the regeneration process of waste H₂SO₄ from industrial isobutane alkylation.</div></div>","PeriodicalId":66474,"journal":{"name":"Green Chemical Engineering","volume":"6 3","pages":"Pages 380-387"},"PeriodicalIF":9.1,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}