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Recent advances in heterogeneous catalysis of solar-driven carbon dioxide conversion

Journal of Environmental Sciences 2024年第6期140卷 165-182页

作者： Jun Xu Farzaneh Arabpour Roghabadi Ying Luo Vahid Ahmadi Qian Wang Zheng Wang Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China College of Chemistry and Chemical Engineering Henan Polytechnic UniversityJiaozuoHenan 454000China Department of Process Engineering Faculty of Chemical EngineeringTarbiat Modares UniversityTehranIran Optoelectronics and Nanophotonics Research Group Faculty of Electrical and Computer EngineeringTarbiat Modares UniversityTehranIran Graduate School of Engineering Nagoya UniversityFuro-choChikusa-kuNagoya 464-8603Japan

Solar-driven carbon dioxide(CO_(2))conversion including photocatalytic(PC),photoelectrochemical(PEC),photovoltaic plus electrochemical(PV/EC)systems,offers a renewable and scalable way to produce fuels and high-value chemicals for environment and energy *** review summarizes the basic fundament and the recent advances in the field of solar-driven CO_(2)*** the visible-light absorption is an important strategy to improve solar energy conversion *** separation and migration of photogenerated charges carriers to surface sites and the surface catalytic processes also determine the photocatalytic *** engineering including co-catalyst loading,defect engineering,morphology control,surface modification,surface phase junction,and Z-scheme photocatalytic system construction,have become fundamental strategies to obtain high-efficiency *** to photocatalysis,these strategies have been applied to improve the conversion efficiency and Faradaic efficiency of typical PEC *** PV/EC systems,the electrode surface structure and morphology,electrolyte effects,and mass transport conditions affect the activity and selectivity of electrochemical CO_(2)***,the challenges and prospects are addressed for the development of solar-driven CO_(2)conversion system with high energy conversion efficiency,high product selectivity and stability.

关键词： Solar-driven CO_(2)reduction Photocatalytic system Photoelectrochemical system Photovoltaic plus electrochemical system Surface/interface engineering

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Magnetic Porous Material Derived from Ni-MOF for the Removal of Tetracycline from Aqueous Solution

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ACS Applied Nano Materials 2024年第7期7卷 7614-7621页

作者： Xue, Yuhui Wang, Jingjing Wang, Meng Li, Jiang Wang, Kefu Hassan, Afaq Guo, Changyan Wang, Jide Xinjiang Key Laboratory of Oil and Gas Fine Chemicals College of Chemistry and Chemical Engineering Xinjiang University Urumqi 830046 China Technical Center of Urumqi Customs Urumqi 830063 China Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention Urumqi 830002 China Department of Process Engineering and Chemical Technology Chemical Faculty Gdansk University of Technology Gdansk 80-233 Poland

The efficient removal of antibiotic residues from aqueous solution is very important for water security. Studies have found that adsorption is widely used for the removal of antibiotics due to its cost-effectiveness, low energy consumption, simplicity of operation, and environmental friendliness. In this study, a novel magnetic porous carbon adsorbent (Ni-MPC-400) with a high adsorption capacity and saturation magnetization was synthesized via direct carbonization of Ni-MOF at 400 °C pyrolysis temperature and used to efficiently remove tetracycline from an aqueous solution. Adsorption experiments showed that Ni-MPC-400 exhibited excellent tetracycline adsorption capacity (441.51 mg·g^-1) from the aqueous solution. Possible adsorption mechanisms were proposed through characterization and analysis. The adsorption mechanisms mainly involved π-π interactions, hydrogen bonding, metal-organic complexation, and pore filling effects. In addition, Ni-MPC-400 showed rapid and sufficient adsorption at a low concentration of tetracycline (5 mg·L^-1) and good adsorption performance over a wide pH range. In addition, the material has been tested to have good immunity to interference and regenerative capacity, demonstrating a potential application in the removal of tetracycline contaminants from aqueous solutions. © 2024 American chemical Society.

关键词： aqueous solutions magnetic porous material Ni-MOF Ni-MPC-400 tetracycline

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A Semisupervised Soft-Sensor of Just-in-Time Learning With Structure Entropy Clustering and Applications for Industrial processes Monitoring

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2023年第4期4卷 722-733页

作者： Li, Dong Liu, Yiqi Huang, Daoping Xu, Chong South China University of Technology Key Laboratory of Autonomous Systems and Networked Control Ministry of Education School of Automation Science and Engineering Guangzhou510640 China Technical University of Denmark Process and Systems Engineering Center Department of Chemical and Biochemical Engineering Lyngby2800 Denmark South China University of Technology School of Automation Science and Engineering Guangzhou510640 China Gannan Normal University School of Physics and Electronic Information Ganzhou341000 China

To monitor industrial processes properly, soft-sensors are widely used to predict significant but difficult-to-measure quality variables. However, the prediction performances of traditional data-driven soft-sensors are usually unacceptable once suffering from high-nonlinear, high-dimension, and imblance data issues. Therefore, a semisupervised soft-sensor, which is learned by a just-in-time method with structure entropy clustering (SS-JITL-SEC), is proposed aiming to improve prediction performance with a simpler way. Inspired by a divide and conquer strategy, a novel SEC method is proposed to achieve several clusters and then to translate the highly complex and nonlinear modeling problems into simple and linear ones. Moreover, the training dataset is extended through a mixed SS labeling approach. Finally, dissimilarity-based JITL works together with the resulting clustering subdatasets to formulate a local adaptive prediction model. Two datasets from different types of wastewater treatment plants are used to verify the effectiveness of the proposed soft-sensor. The results show that the SS-JITL-SEC soft-sensor can achieve better prediction performance than other standard counterparts, and even for effective process monitoring with the resulted residuals. © 2020 IEEE.

关键词： Entropy

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Higher N_(2)O production in sequencing batch reactors compared to continuous stirred tank reactors:effect of feast-famine cycles

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Frontiers of Environmental Science & engineering 2023年第4期17卷 143-154页

作者： Xinjie Yan Xunyu Shen Jipeng Wang Jinlong Zhuang Yu Wang Jinchi Yao Hong Liu Yongdi Liu James P.Shapleigh Wei Li National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery East China University of Science and TechnologyShanghai 200237China State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resources and Environmental EngineeringEast China University of Science and TechnologyShanghai 200237China School of Environmental and Safety Engineering Changzhou UniversityChangzhou 213164China Shanghai Huayi Group Co.Ltd. Shanghai 201108China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200237China Department of Microbiology Cornell UniversityIthacaNY 14850USA

Nitrous oxide(N_(2)O)is a potent greenhouse gas that can be emitted during the biological treatment of *** this study,a comparison of the long-term performance characteristics and N_(2)O production of sequencing batch reactors(SBR)and continuous stirred tank reactors(CSTR)during nitrite-based denitrification was *** was found that both reactors had NO_(2)^(-)-N removal efficiencies over 99.9%,but the N_(2)O-N emissions from the SBR reached~2.3%of the removal nitrite-N load,while in the CSTR it never exceeded 0.1%.High frequency sampling during one operation cycle of the SBR demonstrated that the N_(2)O accumulation ratio was~0.1%during the feast period,increased to~1.9%in the first five hours of the famine period,and then gradually reached~2.3%at the end of *** experiments showed that limiting extracellular electron donor is required for N_(2)O accumulation in cells from the SBR-famine period and that cells from the CSTR do not accumulate N_(2)O when either nitrite or carbon is *** notable difference in the two reactor communities was the high level of accumulation of intracellular granules,most likely polyhydroxybutyrate(PHB),in cells during the feast period in the *** assembly and binning found that one genome(PRO1),which is a Thauera,accounted for over half the metagenomic reads in both *** shifts in gene regulation nor community composition explained the observed differences in reactor performance suggesting some post-transcriptional regulation obligatorily linked to antecedent conditions underly increased N_(2)O production in the SBR.

关键词： Denitrifying N_(2)O mitigation SBR CSTR Meta-omics PHB

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Continuous generation of lattice oxygen via redox engineering for boosting toluene degradation performances

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Chinese Journal of chemical engineering 2021年第6期34卷 258-266页

作者： Shiya He Zhimin You Xin Jin Yi Wu Cheng Chen He Zhao Jian Shen Department of Environment and Resources Xiangtan UniversityXiangtan 411105China State Key Laboratory of Heavy Oil Processing College of Chemical EngineeringChina University of PetroleumQingdao 266580China Beijing Engineering Research Center of Process Pollution Control Division of Environment Technology and EngineeringKey Laboratory of Green Process and EngineeringInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China

Excellent performances promoted by lattice oxygen have attracted wide attention for catalytic degradation of volatile organic compounds(VOCs).However,how to control the continuous regeneration of lattice oxygen from the support is seldom *** this study,we selected sepiolite supported manganese-cobalt oxides(Co_(x)Mn_(100-x)O_(y))as model catalysts by tuning Co/(Co+Mn)mass ratio(x=3%,10%,15%,and 20%)to enhance toluene degradation efficiency,owing to lattice oxygen regeneration by redox cycle existing at the interface and Mn species with high valence state,initiated by cobalt catalytic performance under the role of crystal field stability *** results of activity test show that the sepiolite-Co_(15)Mn_(85)O_(y)catalyst exhibit outperformances at 193℃with 10,000 h^(-1)*** addition,the catalyst existed at the bottom of the"volcano"curve correlated T_(50)or T_(90)with Co/(Co+Mn)weight ratio is sepiolite-Co_(15)Mn_(85)O_(y),conforming its *** characterized by investigating active sites structural and electronic properties,the essential of superior catalytic activity is attributed to the grands of lattice oxygen continuous formation resulted from redox engineering based on the high atomic ratio of surface lattice oxygen with continuous refilled from the support and that of Mn^(4+)/Mn^(3+)cycle initiated by cobalt catalytic *** in all,redox engineering,not only promotes grands of active species reversible regeneration,but supplies an alternative catalyst design strategy towards the terrific efficiency-to-cost ratio performance.

关键词： Redox engineering Crystal field stability phase Lattice oxygen Toluene degradation

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Functional meniscus reconstruction with biological and biomechanical heterogeneities through topological self-induction of stem cells

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Bioactive Materials 2024年第6期36卷 358-375页

作者： Mingze Du Kangze Liu Huinan Lai Jin Qian Liya Ai Jiying Zhang Jun Yin Dong Jiang Department of Sports Medicine Peking University Third HospitalInstitute of Sports Medicine of Peking UniversityBeijing Key Laboratory of Sports InjuriesEngineering Research Center of Sports Trauma Treatment Technology and DevicesMinistry of EducationBeijingChina The State Key Laboratory of Fluid Power Transmission and Control Systems Key Laboratory of 3D Printing Process and Equipment of Zhejiang ProvinceSchool of Mechanical EngineeringZhejiang UniversityZhejiang310058China Department of Engineering Mechanics Key Laboratory of Soft Machines and Smart Devices of Zhejiang ProvinceZhejiang UniversityZhejiang310058China School of Chemistry Chemical Engineering and BiotechnologyNanyang Technological University639798Singapore

Meniscus injury is one of the most common sports injuries within the knee joint,which is also a crucial pathogenic factor for osteoarthritis(OA).The current meniscus substitution products are far from able to restore meniscal biofunctions due to the inability to reconstruct the gradient heterogeneity of natural meniscus from biological and biomechanical ***,inspired by the topology self-induced effect and native meniscus microstructure,we present an innovative tissue-engineered meniscus(TEM)with a unique gradient-sized diamond-pored microstructure(GSDP-TEM)through dual-stage temperature control 3D-printing system based on the mechanical/biocompatibility compatible high M_(w) poly(ε-caprolactone)(PCL).Biologically,the unique gradient microtopology allows the seeded mesenchymal stem cells with spatially heterogeneous differentiation,triggering gradient transition of the extracellular matrix(ECM)from the inside ***,GSDP-TEM presents excellent circumferential tensile modulus and load transmission ability similar to the natural *** implantation in rabbit knee,GSDP-TEM induces the regeneration of biomimetic heterogeneous neomeniscus and efficiently alleviates joint *** study provides an innovative strategy for functional meniscus *** self-induced cell differentiation and biomechanical property also provides a simple and effective solution for other complex heterogeneous structure reconstructions in the human body and possesses high clinical translational potential.

关键词： Tissue-engineered meniscus Functional reconstruction Mesenchymal stem cells Heterogeneity Topology structure

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Large Scale and High-Precision Crop Recognition using Satellite Remote Sensing Images

Large Scale and High-Precision Crop Recognition using Satell...

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2024 China Automation Congress, CAC 2024

作者： Tao, Xuanting Tan, Jinglu Zhang, Jianguo Allakhverdiev, Suleyman I. Xu, Zhenyu Guo, Ya Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi China Department of Chemical & Biomedical Engineering University of Missouri ColumbiaMO United States Wuxi Agricultural Equipment Technology Extension Center Wuxi China Timiryazev Institute of Plant Physiology RAS Moscow Russia Longcom Internet of Things Co. Ltd Hefei China

ISBN: (纸本)9798350368604

Precise large-scale crop recognition is crucial for estimating crop yield and carbon assimilation. Current research on crop type recognition based on deep learning is often limited to a single crop and small areas, with poor model transferability. When performing multi-crop recognition over large areas, the accuracy significantly decreases. Therefore, it is necessary to establish a high-precision crop type recognition model with strong generalization capability. A deep learning model (LSTM-Transformer Parallel, LTP) based on the combination of LSTM (Long Short-Term Memory) network and Transformer self-attention mechanism architecture is proposed in this paper. The model captures the dependencies among crop NDVI time series data to achieve high-precision recognition of large-scale crop types. Experimental results show that in crop recognition experiments using small-scale agricultural area data, the recognition results of the LTP, TSMixer, and SegRNN models all performed excellently, with average accuracies of 94.55%, 94.41%, and 94.79%, respectively. In contrast, in crop recognition experiments using large-scale agricultural area data, the average accuracy of the LTP model reaches 93.77%, while the accuracies of the TSMixer and SegRNN models are 82.30% and 84.13%, respectively. This indicates that the LTP model not only performs well on small-scale agricultural area datasets but also significantly outperforms models in the literature on large-scale agricultural area datasets, demonstrating strong generalization capability. It provides a reliable method for large-scale multi-crop recognition, contributing to global food security and carbon cycle assessment. © 2024 IEEE.

关键词： Deep Learning Model Generalization Multi-crop recognition Sentinel-2 Satellite Time-series Data

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Frontier of CO_(2)capture and conversion towards carbon neutrality

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Journal of Environmental Sciences 2024年第6期140卷 1-1页

作者： Tsunehiro Tanaka Qiang Wang Min Liu Zheng Wang Tomas Ramirez Reina Department of Molecular Engineering Graduate School of EngineeringKyoto UniversityKyoto 6158510Japan College of Environmental Science and Engineering Beijing Forestry UniversityBeijing 100083China State Key Laboratory of Powder Metallurgy School of Physical and ElectronicsCentral South UniversityChangsha 410083China Laboratory of Atmospheric Environment and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China Department of Chemical and Process Engineering Department University of SurreyGuildford GU27XHUnited Kingdom

With the rapid development of human civilization,the concentration of CO_(2)in the atmosphere has sharply increased in the past century,resulting in global temperature anomaly,extreme climate events,and eco-environmen... 详细信息

关键词： anomaly neutral sharply

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Recent progress and hurdles in cathode recycling for Li-ion batteries

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Circular Economy 2024年第2期3卷

作者： Jenis, Ponraj Zhang, Ting Ramasubramanian, Brindha Lin, Sen Rayavarapu, Prasada Rao Yu, Jianguo Ramakrishna, Seeram Department of Mechanical Engineering Center for Nanofibers and Nanotechnology National University of Singapore Singapore 119260 Singapore National Engineering Research Center for Integrated Utilization of Salt Lake Resources East China University of Science and Technology Shanghai200237 China State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and Technology Shanghai200237 China Engineering Research Center of Salt Lake Resources Process Engineering Ministry of Education East China University of Science and Technology Shanghai200237 China

This review focuses on standard Li recycling approaches for LiFePO4 (LFP) and nickel−cobalt−manganese (NCM) cathodes. The study discusses about advances in leaching agents, including organic acid, alkaline solutions, natural organic acid, and electrochemical treatments. Emphasis is placed on the significance of selective Li leaching strategies to optimize the recycling of waste batteries. The review also outlines potential future research directions for enhancing selective recycling, providing valuable insights into the recycling of LFP and NCM batteries. Simultaneously, the article addresses the challenges associated with the transition from conventional lithium-ion batteries to all-solid-state batteries (ASSBs) in the pursuit of sustainable energy storage technologies. It highlights key points, including the challenges in developing ASSBs, the role of employing various material combinations and its preparation techniques, adopting scalable solution-based processes for commercialization, and strategies for sustainable ASSB recycling. The proposition of a fully recyclable ASSB model underscores the commitment to lower recycling costs using safer and simpler methods, positioning nanotechnology as an enabling tool for achieving advancements in materials and cell-level performance. © 2024 The Author(s)

关键词： Lithium compounds

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Elimination of the pharmaceutical sulfadoxine by electro-Fenton: Reaction kinetics, oxidation pathway and stability of the electrode

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Chemosphere 2025年 375卷 144265页

作者： Petsi, Panagiota Plakas, Konstantinos V. Bizirtsakis, Panagiotis Anagnostopoulou, Kyriaki Moschona, Alexandra Lambropoulou, Dimitra Frontistis, Zacharias Department of Chemical Engineering University of Western Macedonia KozaniGR50132 Greece Chemical Process and Energy Resources Institute Centre for Research and Technology-Hellas 6th km of Charilaou-Thermis ThessalonikiGR57001 Greece Department of Chemistry Environmental Pollution Control Laboratory Aristotle University of Thessaloniki ThessalonikiGR54124 Greece Balkan Center 10th km Thessaloniki-Thermi Rd ThessalonikiGR 57001 Greece

In this study, the removal of sulfadoxine (SDX) with the electro-Fenton (EF) process is for the first time investigated, in a commercially available filter press electrochemical cell. A Gas Diffusion Electrode (GDE) was used as the cathode and a Dimensionally Stable Anode (DSA) as the anode. The effects of current density, recirculation flow, and pH on H2O2 generation were examined. The maximum H2O2 concentration was 457 mg/L at 50 mA/cm2, 200 mL/min, and pH 7 after 2 h of operation. Under the same conditions, the effect of Fe2+ on SDX oxidation and mineralization was studied. With 0.5 mM Fe2+, SDX was eliminated within 10 min, with 77.4% total organic carbon (TOC) removal after 2 h. Notably, Fe precipitation was observed at near-neutral pH, indicating that removal via coagulation and adsorption may have contributed to SDX elimination in addition to oxidation. Five transformation products (TPs) were identified via LC/HRMS Orbitrap, with four newly reported. The acute and chronic toxicity of the TPs was assessed in fish, daphnia, and green algae using ECOSAR software. Most TPs showed lower toxicity than SDX, though some exhibited increased toxicity, suggesting longer or more intense treatments may be needed. The stability of the GDE was evaluated over 10 consecutive cycles with 0.1 mM Fe2+. SDX removal remained stable, ranging from 72.2% to 85.4%, though H2O2 electrogeneration decreased steadily from 481.4 mg/L to 200.6 mg/L by the final cycle. These results suggest that while EF effectively removes SDX, improvements in H2O2 generation stability are necessary for long-term use. © 2025

关键词： Diffusion in gases

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