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MOF-based high-entropy-alloy evaporator featuring enhanced interband transitions for efficient solar steam and green electricity generation

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Chemical engineering Journal 2025年 517卷

作者： Dai, Chenyang Zhang, Jia-Han He, Cheng-Yu Dai, Rongrong Pan, Likun Yamauchi, Yusuke Zhang, Jing Li, Zhengtong Xu, Xingtao Marine Science and Technology College Zhejiang Ocean University Zhoushan316022 China Electronic-Photonic Smart Sensing Device R&D Team Inner Mongolia Key Laboratory of Intelligent Communication and Sensing and Signal Processing School of Electronic Information Engineering Inner Mongolia University Hohhot010021 China Research Center of Resource Chemistry and Energy Materials State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical Physics Chinese Academy of Sciences Lanzhou China Shanghai Key Laboratory of Magnetic Resonance School of Physics and Electronic Science East China Normal University Shanghai200026 China Department of Materials Process Engineering of Engineering Nagoya University Nagoya464-8603 Japan The University of Queensland BrisbaneQLD4072 Australia Department of Chemical and Biomolecular Engineering Yonsei University 50 Yonsei-ro Seodaemun-gu Seoul03722 Korea Republic of Ningbo Key Laboratory of Green Petrochemical Carbon Emission Reduction Technology and Equipment Zhejiang Institute of Tianjin University Zhejiang Ningbo315201 China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Yangtze Institute for Conservation and Development Hohai University Nanjing210098 China

Photothermal materials exhibiting broadband optical absorption and high energy efficiency are highly sought after in the field of solar-driven evaporation. Herein, we present a novel photothermal material derived from polymetallic metal–organic frameworks (MOFs) through a d-d interband transition (d-d IBT) engineering strategy. This approach enables comprehensive occupation of electronic states within ±4 eV relative to the Fermi level through 3d transition metal coordination, achieving an exceptional average solar absorption efficiency of over 97 % across the full solar spectrum (250–2500 nm). This breakthrough effectively overcomes the inherent wide bandgap limitation of MOFs that traditionally restricts their full-spectrum solar utilization. Leveraging its remarkable broadband sunlight harvesting capacity and ultrafast localized heating performance, this evaporator engineered with high-entropy alloy nanoparticles, achieves an evaporation efficiency surpassing 95% under one sun irradiation while maintaining a high evaporation rate of 2.80 kg m−2 h−1. Moreover, this evaporator demonstrates exceptional desalination efficiency even with high-salinity seawater (20 wt%), while the waste heat generated during operation can be strategically repurposed to produce green electricity, enhancing its sustainability profile. Thus, the FeCoNiMnCuAlZn high-entropy alloy nanoparticle-based photothermal evaporator offers innovative solutions for addressing the scarcity of clean water resources and the need for green energy. © 2025

关键词： Zinc alloys

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Uncertainty Analysis of Urban Building Energy Based on Two-Dimensional Monte Carlo Method 11th

Uncertainty Analysis of Urban Building Energy Based on Two-D...

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11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019

作者： Fu, Xing Tian, Wei Sun, Yu Zhu, Chuanqi Yin, Baoquan College of Mechanical Engineering Tianjin University of Science and Technology Tianjin300222 China Tianjin International Joint Research and Development Center of Low-Carbon Green Process Equipment Tianjin300222 China School of Architecture Harbin Institute of Technology Harbin150006 China Tianjin Architecture Design Institute Tianjin300074 China

ISBN: (纸本)9789811395277

Energy performance of urban buildings is affected by a number of inherent uncertain factors, including weather conditions, internal heat gains, occupant behavior, and HVAC systems. These uncertain variables lead to variations of energy use in urban buildings. Therefore, this paper implements a two-dimensional Monte Carlo method to properly assess variations of energy performance of urban buildings by considering two types of uncertain factors (aleatory and epistemic). In this study, aleatory uncertainty refers to inherent randomness of input variables in building energy analysis;whereas, epistemic uncertainty refers to retrofit variations to improve energy efficiency for urban buildings. The results indicate that the two-dimensional Monte Carlo technique can consider two types of uncertain factors to quantify the variations of energy performance in urban buildings. It is also found that the aleatory uncertainty of energy performance is larger than the epistemic uncertainty of energy use in this study, which indicates that more attention should be paid on aleatory uncertainty to reduce its influence on energy use. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Uncertainty analysis

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Stability of trivalent human papillomavirus(types 16,18,58)recombinant vaccine(Escherichia coli)

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Chinese Medical Journal 2021年第24期134卷 3020-3022页

作者： Yu-Ying Liu Hai-Jiang Zhang Er-Cui Shen Dan Chen Yan Wang Si-Jia Fu Fei Yin Gui-Feng Zhang Yi-Guo Shen Yong-Jiang Liu Quality Department of Beijing Health Guard Biotechnology Inc. BDADaxing DistrictBeijing 100176China National Key Laboratory of Biochemical Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Chemical and Engineering University of Chinese Academy of SciencesBeijing 100049China Research and Development Department of Beijing Health Guard Biotechnology Inc. BDADaxing DistrictBeijing 100176China

To the Editor:There are 530,000 new cases of cervical cancer and 270,000 deaths annually in the world,85%occur in developing *** them,about 150,000 new cases of cervical cancer are in China each year,accounting for one-third of the total patients worldwide.[1]Vaccines are the most economical and effective ways of preventing infectious *** stop the transmission of human papillomavirus(HPV)fundamentally,the most effective measure is to vaccinate safe and effective HPV vaccines.[2,3]Numerous studies have shown that vaccines based on HPV L1 virus-like particles(VLPs)have good safety and protective efficacy.[4]Infection of HPV16,HPV18,and HPV58 viruses is the main cause of cervical cancer in Chinese *** preventing the infection of HPV16,HPV18,and HPV58 viruses,85.0%to 93.7%of cervical cancers can be prevented.[5].

关键词： papillomavirus protective cervical

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RETRACTED ARTICLE: research and development of erythroblastine A as a STAT3 inhibitor of lead compound and its application in tumor therapy

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Soft Computing 2023年第2期28卷 763-763页

作者： Zeng, Xiangcong Hu, Yuanwen Xu, Zhi Wu, Xiaoyu Xiong, Yun Liu, Shengpeng Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education Wuhan Institute of Technology Wuhan China Key Laboratory for Green Chemical Process of Ministry of Education Wuhan Institute of Technology Wuhan China School of Chemical Engineering and Pharmacy Wuhan Institute of Technology Wuhan China

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Heteroatom Modified Polymer Immobilized Ionic Liquid Stabilized Ruthenium Nanoparticles: Efficient Catalysts for the Hydrolytic Evolution of Hydrogen from Sodium Borohydride*

SSRN

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SSRN 2022年

作者： Doherty, Simon Paterson, Reece Alharbi, Adhwa A. Wills, Corinne Dixon, Casey Šiller, Lidja Chamberlain, Thomas W. Griffiths, Anthony Collins, Sean M. Wu, Kejun Simmons, Matthew D. Bourne, Richard A. Lovelock, Kevin R.J. Seymour, Jake Knight, Julian G. School of Chemistry Newcastle University Bedson Building Newcastle upon TyneNE1 7RU United Kingdom School of Engineering Bedson Building Newcastle University Newcastle upon TyneNE1 7RU United Kingdom Institute of Process Research & Development School of Chemistry School of Chemical and Process Engineering University of Leeds Woodhouse Lane LS2 9JT United Kingdom School of Chemistry Food and Pharmacy University of Reading ReadingRG6 6AT United Kingdom

Ruthenium nanoparticles stabilised by polymer immobilized ionic liquids catalyse the hydrolytic release of hydrogen from sodium borohydride. The composition of the polymer influences performance and ruthenium nanoparticles stabilised by an amine-decorated imidazolium-based polymer immobilised ionic liquid (RuNP@NH2-PIILS) was the most efficient with a maximum TOF of 177 ***-1, obtained at 30 °C with a catalyst loading of 0.08 mol%;markedly higher than that of 69 ***-1 obtained with 5 wt% Ru/C and one of the highest to be reported for a RuNP catalyst. The apparent activation energy (Ea) of 38.9 kJ mol-1 for the hydrolysis of NaBH4 catalysed by RuNP@NH2-PIILS is lower than that for the other polymer immobilized ionic liquid stabilised RuNPs, which is consistent with its efficacy. Comparison of the initial rates of hydrolysis in H2O and D2O catalysed by RuNP@NH2-PIILS gave a primary kinetic isotope effect (kH/kD) of 2.3 which supports a mechanism involving rate limiting oxidative addition of one of the OH bonds in a strongly hydrogen-bonded surface-coordinated [BH3H-]-H2O ensemble. The involvement of a surface-coordinated borohydride is further supported by an inverse kinetic isotope effect of 0.65 obtained from a comparison of the initial rates for the hydrolysis of NaBH4 and NaBD4 under the conditions of catalysis i.e., at a high hydride/catalyst mole ratio. Interestingly though, when the comparison of the initial rates of hydrolysis of NaBH4 and NaBD4 was conducted in dilute solution with a hydride/catalyst mole ratio of 1 a kinetic isotope effect (kH/kD) of 2.72 was obtained;this would be more consistent with concerted activation of both an O-H and B-H bond in the rate limiting step, possibly via a concerted oxidative addition-hydride transfer in the surface-coordinated hydrogen-bonded ensemble. Catalyst stability and reuse studies showed that RuNP@NH2-PIILS retained 79% of its activity over five runs;the gradual drop in the initial TOF

关键词： Metal nanoparticles

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Flooding and its relationship with land cover change, population growth, and road density

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Geoscience Frontiers 2021年第6期12卷 16-35页

作者： Mahfuzur Rahman Chen Ningsheng Golam Iftekhar Mahmud Md Monirul Islam Hamid Reza Pourghasemi Hilal Ahmad Jules Maurice Habumugisha Rana Muhammad Ali Washakh Mehtab Alam Enlong Liu Zheng Han Huayong Ni Tian Shufeng Ashraf Dewan Key Laboratory for Mountain Hazards and Earth Surface Process Institute of Mountain Hazards and Environment(IMHE)Chinese Academy of Sciences(CAS)Chengdu 610041China University of Chinese Academy of Sciences(UCAS) Beijing 100049China Department of Civil Engineering International University of Business Agriculture and Technology(IUBAT)Dhaka 1230Bangladesh Academy of Plateau Science and Sustainability Xining 810016China Development Research Initiative Dhaka 1216Bangladesh Department of Natural Resources and Environmental Engineering College of AgricultureShiraz UniversityShiraz 71454Iran School of Architecture Neijiang Normal UniversityNeijiang 641100China Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100101China State Key Laboratory of Hydraulics and Mountain River Engineering College of Water Resource and HydropowerSichuan UniversityChengdu 610065China School of Civil Engineering Central South UniversityChangsha 410075China Chengdu Institute of Geology and Mineral Resources China Geological SurveyChina School of Earth and Planetary Sciences Curtin UniversityKent StBentleyWA 6102Australia

Bangladesh experiences frequent hydro-climatic disasters such as *** disasters are believed to be associated with land use changes and climate ***,identifying the factors that lead to flooding is *** study mapped flood susceptibility in the northeast region of Bangladesh using Bayesian regularization back propagation(BRBP)neural network,classification and regression trees(CART),a statistical model(STM)using the evidence belief function(EBF),and their ensemble models(EMs)for three time periods(2000,2014,and 2017).The accuracy of machine learning algorithms(MLAs),STM,and EMs were assessed by considering the area under the curve—receiver operating characteristic(AUC-ROC).Evaluation of the accuracy levels of the aforementioned algorithms revealed that EM4(BRBP-CART-EBF)outperformed(AUC>90%)standalone and other ensemble models for the three time periods ***,this study investigated the relationships among land cover change(LCC),population growth(PG),road density(RD),and relative change of flooding(RCF)areas for the period between 2000 and *** results showed that areas with very high susceptibility to flooding increased by 19.72%between 2000 and 2017,while the PG rate increased by 51.68%over the same *** Pearson correlation coefficient for RCF and RD was calculated to be *** findings highlight the significant association between floods and causative *** study findings could be valuable to policymakers and resource managers as they can lead to improvements in flood management and reduction in flood damage and risks.

关键词： Hydro-climatic disasters Machine learning algorithms Statistical model Ensemble model Relative change in flooding areas

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Performance evaluation of the natural gas combined cycle with various hydrogen co-firing rates

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Energy Conversion and Management 2025年 341卷

作者： Hyeonrok Choi Youngjae Lee Won Yang Changkook Ryu Seong-il Kim Low-Carbon Emission Control R&D Department Research Institute of Sustainable Development Technology Korea Institute of Industrial Technology Cheonan 31056 Republic of Korea School of Mechanical Engineering Sungkyunkwan University Suwon 16419 Republic of Korea Green Process and Energy System Engineering University of Science and Technology Cheonan Chungnam Republic of Korea

Hydrogen is a promising carbon-free fuel for reducing CO 2 emissions in power generation and is increasingly being integrated into gas turbine combined cycle (GTCC) systems. This study evaluates the thermal performance of a 600-MWe-class GTCC plant under hydrogen co-firing by analyzing two idealized operational scenarios—fixed turbine inlet temperature (TIT) and fixed gas turbine (GT) output—and additionally proposes a load-following strategy that maintains constant total GTCC output. A process simulation model was used to assess the impact of hydrogen blending on GT performance, flue gas composition, and the bottoming cycle—including the heat recovery steam generator (HRSG) and steam turbine (ST)—under three ambient conditions. Hydrogen co-firing introduced a performance trade-off: GT efficiency improved due to favorable combustion properties, while ST output decreased owing to degraded HRSG heat transfer. Under the fixed TIT scenario, GT efficiency increased with minor reductions in ST output. In contrast, under fixed GT output, TIT and turbine exit temperature (TET) declined, significantly reducing steam temperature and ST output, especially at high hydrogen blending ratios. The greatest performance degradation occurred under the lowest TIT condition. To address this trade-off, an additional scenario was developed by regulating TIT to adjust the GT/ST power split and maintain constant GTCC output. This approach resulted in thermal efficiency gains of up to 0.72 percentage points. The proposed model incorporates radiative and convective heat transfer mechanisms and captures the key thermophysical effects of hydrogen-rich combustion gas, offering practical insights for stable and efficient GTCC operation under hydrogen co-firing conditions.

关键词： Boiler firing

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The 2023 report of the synergetic roadmap on carbon neutrality and clean air for China: Carbon reduction, pollution mitigation, greening, and growth

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Environmental Science and Ecotechnology 2025年第1期23卷 1-18页

作者： Jicheng Gong Zhicong Yin Yu Lei Xi Lu Qiang Zhang Cilan Cai Qimin Chai Huopo Chen Renjie Chen Wenhui Chen Jing Cheng Xiyuan Chi Hancheng Dai Zhanfeng Dong Guannan Geng Jianlin Hu Shan Hu Cunrui Huang Tiantian Li Wei Li Xiaomei Li Yongsheng Lin Jun Liu Jinghui Ma Yue Qin Weiqi Tang Dan Tong Jiaxing Wang Lijuan Wang Qian Wang Xuhui Wang Xuying Wang Libo Wu Rui Wu Qingyang Xiao Yang Xie Xiaolong Xu Tao Xue Haipeng Yu Da Zhang Li Zhang Ning Zhang Shaohui Zhang Shaojun Zhang Xian Zhang Zengkai Zhang Hongyan Zhao Bo Zheng Yixuan Zheng Tong Zhu Huijun Wang Jinnan Wang Kebin He State Key Joint Laboratory for Environment Simulation and Pollution Control College of Environmental Sciences and Engineering and Center for Environment and HealthPeking UniversityBeijing100871China Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing210044China Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing100041China Center for Carbon Neutrality Chinese Academy of Environmental PlanningBeijing100041China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Institute for Carbon Neutrality Tsinghua UniversityBeijing100084China Ministry of Education Key Laboratory for Earth System Modelling Department of Earth System ScienceTsinghua UniversityBeijing100084China National Center for Climate Change Strategy and International CooperationBeijing100035China Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing100029China School of Public Health Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of HealthFudan UniversityShanghai200032China School of Economics and Management Beijing University of Chemical TechnologyBeijing100029China Department of Earth System Science University of CaliforniaIrvineIrvineCA92697USA National Meteorological Center China Meteorological AdministrationBeijing100081China College of Environmental Sciences and Engineering Peking UniversityBeijing100871China Institute of Eco-Environmental Management and Policy Chinese Academy of Environmental PlanningBeijing100041China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Contr

The response to climate change and air pollution control demonstrates strong synergy across scientific mechanisms,targets,strategies,and governance *** report,based on a monitoring indicator system for coordinated governance of air pollution and climate change,employs an interdisciplinary approach combining natural and social *** establishes 20 indicators across five key areas:air pollution and climate change,governance systems and practices,structural transformation and technologies,atmospheric components and emission reduction pathways,and health impacts and *** report tries to provide actionable insights into the interconnectedness of air pollution and climate *** highlights key policy gaps,presents updated indicators,and offers a refined monitoring framework to track progress toward China's dual goals of reducing emissions and improving air *** to previous editions,this year's report has updated four key indicators:meteorological impacts on air quality,climate change and its effects,governance policies,and low-carbon building energy *** aim is to further refine the monitoring framework,track progress,and establish a comprehensive theory for collaborative governance while identifying challenges and proposing solutions for China's pathway to carbon neutrality and clean *** report comprises six *** executive summary chapter is followed by analyzing air pollution and climate change *** systems and practices are discussed in the third chapter,focusing on policy implementation and local *** fourth chapter addresses structural transformations and emission reduction technologies,including energy and industrial shifts,transportation,low-carbon buildings,carbon capture and storage,and power *** fifth chapter outlines atmospheric component dynamics and emission pathways,presenting insights into emission drivers and future *** sixth chapter assesses he

关键词： Synergetic roadmap Carbon neutrality Clean air

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Microalgal lutein: Advancements in production, extraction, market potential, and applications

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Bioresource Technology 2023年 389卷 129808页

作者： Kadri, Mohammad Sibtain Singhania, Reeta Rani Anisha, Grace Sathyanesan Gohil, Nisarg Singh, Vijai Patel, Alok Kumar Patel, Anil Kumar Department of Education and Human Potential Development National Dong Hwa University Hualien974301 Taiwan Institute of Aquatic Science and Technology National Kaohsiung University of Science and Technology Kaohsiung City81157 Taiwan Centre for Energy and Environmental Sustainability Uttar Pradesh Lucknow 226 029 India Post-graduate and Research Department of Zoology Government College for Women Kerala Thiruvananthapuram695014 India Department of Biosciences School of Science Indrashil University Rajpur Gujarat Mehsana382715 India Biochemical Process Engineering Division of Chemical Engineering Department of Civil Environmental and Natural Resources Engineering Luleå University of Technology LuleåSE-971 87 Sweden

Lutein, a bioactive xanthophyll, has recently attracted significant attention for numerous health benefits, e.g., protection of eye health, macular degeneration, and acute and chronic syndromes etc. Microalgae have emerged as the best platform for high-value lutein production with high productivity, lutein content, and scale-up potential. Algal lutein possesses numerous bioactivities, hence widely used in pharmaceuticals, nutraceuticals, aquaculture, cosmetics, etc. This review highlights advances in upstream lutein production enhancement and feasible downstream extraction and cell disruption techniques for a large-scale lutein biorefinery. Besides bioprocess-related advances, possible solutions for existing production challenges in microalgae-based lutein biorefinery, market potential, and emerging commercial scopes of lutein and its potential health applications are also discussed. The key enzymes involved in the lutein biosynthesizing Methyl-Erythritol-phosphate (MEP) pathway have been briefly described. This review provides a comprehensive updates on lutein research advancements covering scalable upstream and downstream production strategies and potential applications for researchers and industrialists. © 2023 Elsevier Ltd

关键词： Microalgae

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Synergistic coupling of bimetallic phosphides heterojunction derived from MOF on LDH structure for enhanced electrocatalytic oxygen evolution

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Colloids and Surfaces A: Physicochemical and engineering Aspects 2025年 725卷

作者： Ying Li Yijie Yang Yuanhang Wu Shuhuai Zhang Mengxinyue Zhang Xiaoxiao Zhang Yanan Xue Yanping Liu Jianzhi Wang Key Laboratory for Green Chemical Process of Ministry of Education Hubei Key Laboratory for Novel Reactor and Green Chemistry Technology State Key Laboratory of Green and Efficient Development of Phosphorus Resources Qianjiang Research Institute of Green Chemical Industry Wuhan Institute of Technology School of Chemical Engineering and Pharmacy School of Environmental Ecology and Biological Engineering Wuhan Institute of Technology Wuhan 430073 China

Rational design of catalyst architectures to minimize active site aggregation represents a critical strategy for enhancing oxygen evolution reaction (OER) efficiency. Herein, we reported a high-efficiency electrocatalyst (Fe 2 P-Ni 2 P/NF) with a multiphase heterostructure and dispersed active sites using a morphology process that combines small-sized prussian blue analog stereotypes with nano-ceramics. Benefiting from the polycrystalline heterogeneous structure and abundant active sites, the Fe 2 P-Ni 2 P/NF catalyst in 1.0 M KOH only requires overpotentials of 177 mV and 254 mV to reach current densities of 50 and 200 mA cm −2 , respectively, with an exceptionally Tafel slope of 42 mV dec −1 and remarkable stability. In addition, the two-electrode system consisting of Fe 2 P-Ni 2 P/NF is able to achieve a current density of 10 mA cm −2 at 1.44 V. X-ray photoelectron spectroscopy (XPS) also confirms the formation of a dual-protective NiOOH/FeOOH layer on the phosphide surface during OER. This work establishes a novel interface engineering paradigm for designing robust electrocatalysts operable under industrial-level current densities.

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