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SSRN 2024年

作者： Liu, Haixiang Ren, Yufei Su, Chang Wu, Xiangkun Zhang, Lan College of Chemical Engineering Shenyang University of Chemical Technology Shenyang110142 China CAS Key Laboratory of Green Process and Engineering Beijing Key Laboratory of Ionic Liquids Clean Process State Key Laboratory of Multiphase Complex Systems Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China Langfang Green Industrial Technology Center Institute of Process Engineering Chinese Academy of Sciences Hebei065001 China Longzihu New Energy Laboratory Zhengzhou Institute of Emerging Industrial Technology Henan University Zhengzhou450000 China

The growing market of portable electronics and electric vehicles calls for lithium-ion batteries (LIBs) with higher energy density. Thick electrodes can reduce the mass ratio of inactive components and thus becoming a universal strategy to increase the energy density of LIBs. In this work, we prepare thick mesocarbon microbeads (MCMB) electrodes via both dry processing and slurry casting method. With low binder content of 2 wt.%, all electrodes show satisfying structure stability. It shows that the one-dimensional (1D) conductive agent (CA), vapor-grown carbon fiber (VGCF), can not only promote the electron transport within the electrode, but also guarantee the electrode integrity even when polytetrafluoroethylene (PTFE) was lithiated. Moreover, electrode with VGCF as CA can be obtained via the slurry casting method even with a high areal capacity of 6.76 mAh cm-2. Although the dry processing method could further increase the areal active material loading to a higher level, while lithiation of the binder, PTFE, seriously hindering its application. On the contrary, the slurry casting method with 1D CA may worth well for further study. © 2024, The Authors. All rights reserved.

关键词： Electrodes

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Mechanism of iron on the intestinal epithelium development in suckling piglets

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Science China(Life Sciences) 2023年第9期66卷 2070-2085页

作者： Lanmei Yin Yitong Zhang Jun Li Jing Zhou Qiye Wang Jing Huang Jianzhong Li Huansheng Yang Hunan International Joint Laboratory of Animal Intestinal Ecology and Health Laboratory of Animal Nutrition and Human HealthCollege of Life SciencesHunan Normal UniversityChangsha 410081China Key Laboratory of Agro-ecological Processes in Subtropical Region Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic ProcessNational Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry ProductionInstitute of Subtropical AgricultureChinese Academy of SciencesChangsha 410125China Tianjin Institute of Industrial Biotechnology Chinese Academy of SciencesTianjin 300308China State Key Laboratory of Food Safety Technology for Meat Products Yinxiang GroupFujian Aonong BiologicaI Science and Technology Group Co.Ltd.Key Laboratory of Swine Nutrition and Feed Science of Fujian ProvinceZhangzhou 363000China

This study aimed to investigate the mechanism of iron on intestinal epithelium development of suckling piglets. Compared with newborn piglets, 7-day-old and 21-day-old piglets showed changes in the morphology of the jejunum, increased proliferation,differentiated epithelial cells, and expanded enteroids. Intestinal epithelium maturation markers and iron metabolism genes were significantly changed. These results suggest that lactation is a critical stage in intestinal epithelial development, accompanied by changes in iron metabolism. In addition, deferoxamine(DFO) treatment inhibited the activity of intestinal organoids at passage 4(P4) of 0-day-old piglets, but no significant difference was observed in epithelial maturation markers at passage 1(P1) and P4,and only argininosuccinate synthetase 1(Ass1) and β-galactosidase(Gleb) were up-regulated at passage 7(P7). These results in vitro show that iron deficiency may not directly affect intestinal epithelium development through intestinal stem cells(ISCs). The iron supplementation significantly down-regulated the m RNA expression of interleukin-22 receptor subunit alpha-2(IL-22RA2)in the jejunum of piglets. Furthermore, the m RNA expression of IL-22 in 7-day-old piglets was significantly higher than that in0-day-old piglets. Adult epithelial markers were significantly up-regulated in organoids treated with recombinant murine cytokine IL-22. Thus, IL-22 may play a key role in iron-affecting intestinal epithelium development.

关键词： iron suckling piglets intestinal epithelium development interleukin-22

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Sustainable Utilization of Waste Biomass: Pyrolysis Kinetics of Jujube Pits and Lithium Storage Behavior of Pyrolytic Carbon

ACS Sustainable Resource Management

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ACS Sustainable Resource Management 2024年第8期1卷 1768-1779页

作者： Zhen Du Shuguo Yuan Zihao Song Fakhar Zaman Qifan Peng Yaqin Huang State Key Laboratory of Chemical Resource Engineering Beijing Key Laboratory of Electrochemical Process and Technology for Materials and Key Laboratory of Biomedical Materials of Natural Macromolecules Ministry of Education Beijing University of Chemical Technology Beijing 100029 China Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190 P. R. China

Exaggerated global efforts to endorse a circular economy for resolving environmental concerns along with high energy demand have enhanced interest for the valorization of waste biomass. This study investigates the sustainable utilization of waste biomass through the pyrolysis kinetics of jujube pits. Jujube pits are abundant agricultural byproducts with potential for energy generation and value-added material production. Pyrolysis kinetics elucidate the thermodynamic and kinetic parameters governing the decomposition process, crucial for optimizing pyrolysis conditions and product yields. By optimizing the pyrolysis kinetic parameters, we have thoroughly assessed the potential of jujube pits as biomass fuel, which exhibits a higher HHV (higher heating value) and low activation energy. After controlled pyrolysis, the tailored pyrolytic carbon exhibits excellent electrochemical stability and lithium-storage kinetics because of its microstructure and chemical composition. Additionally, the resultant pyrolytic carbon was employed for lithium-ion storage and delivered high specific capacity (166 mAh g–1) and an ultrastable cycling performance by retaining almost 100% Coulombic efficiency over 2000 cycles at 2 A g–1. By elucidation of the pyrolysis kinetics of jujube pit waste and assessment of the electrochemical behavior of its derived carbon products, this study contributes to the advancement of sustainable practices in biomass utilization, contributing to the development of sustainable energy-storage solutions.

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Establishment of soil moisture model based on hyperspectral data and growth parameters of winter wheat

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International Journal of Agricultural and Biological engineering 2023年第3期16卷 160-168页

作者： Xizhi Lyu Weimin Xing Yuguo Han Zhigong Peng Baozhong Zhang Muhammad Roman Key Laboratory of State Forestry Administration on Soil and Water Conservation College of Soil and Water ConservationBeijing Forestry UniversityBeijing 100083China Yellow River Institute of Hydraulic Research Key Laboratory of the Loess Plateau Soil Erosion and Water Loss Process and Control of Ministry of Water ResourcesZhengzhou 450003China College of Hydraulic Science and Engineering Yangzhou UniversityYangzhou 225009China Forest Ecosystem Studies National Observation and Research StationJixianShanxi 042200China Key Laboratory of Non-point Source Pollution Control Ministry of Agriculture and Rural AffairsBeijing 100081China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijing 100038China National Center of Efficient Irrigation Engineering and Technology Research-Beijing Beijing 100048China

Large area of soil moisture status diagnosis based on plant canopy spectral data remains one of the hot spots of agricultural ***,the existing soil water prediction model constructed by the spectral parameters without considering the plant growth process will inevitably increase the prediction *** study carried out research on the correlations among spectral parameters of the canopy of winter wheat,crop growth process,and soil water content,and finally constructed the soil water content prediction model with the growth days *** results showed that the plant water content of winter wheat tended to decrease during the whole growth *** plant water content had the best correlations with the soil water content of the 0-50 cm soil *** different growth stages,even if the soil water content was the same,the plant water content and characteristic spectral reflectance were also ***,the crop growing days parameter was added to the model established by the relationships between characteristic spectral parameters and soil water content to increase the prediction *** is found that the determination coefficient(R^(2))of the models built during the whole growth period was greatly increased,ranging from 0.54 to ***,the model built by OSAVI(Optimized Soil Adjusted Vegetation Index)and Rg/Rr,two of the highest precision characteristic spectral parameters,were selected for model *** correlation between OSAVI and soil water content,Rg/Rr,and soil water content were still significant(p<0.05).The R^(2),MAE,and RMSE validation models were 0.53 and 0.58,3.19 and 2.97,4.76 and 4.41,respectively,which was accurate enough to be applied in a large-area ***,the upper and lower irrigation limit of OSAVI and Rg/Rr were put *** research results could guide the agricultural production of winter wheat in northern China.

关键词： winter wheat canopy spectra growth process soil water content irrigation threshold soil moisture model prediction

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Towards Practical Application of Li-S Battery with High Sulfur Loading and Lean Electrolyte:Will Carbon-Based Hosts Win This Race?

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Nano-Micro Letters 2023年第9期15卷 384-422页

作者： Yi Gong Jing Li Kai Yang Shaoyin Li Ming Xu Guangpeng Zhang Yan Shi Qiong Cai Huanxin Li Yunlong Zhao Advanced Technology Institute University of SurreyGuildfordSurrey GU27XHUK Department of Chemical and Process Engineering University of SurreyGuildford GU27XHUK Department of Chemistry Physical and Theoretical Chemistry LaboratoryUniversity of OxfordOxford OX13QZUK Department of Engineering University of Cambridge9 JJ Thomson AvenueCambridge CB30FAUK State Key Laboratory for Chemo/Biosensing and Chemometrics College of Chemistry and Chemical EngineeringHunan UniversityChangsha 410082HunanPeople’s Republic of China College of Materials and Metallurgy Guizhou UniversityGuiyang 550025People’s Republic of China

As the need for high-energy–density batteries continues to grow, lithium-sulfur(Li–S) batteries have become a highly promising next-generation energy solution due to their low cost and exceptional energy density compared to commercially available Li-ion batteries. Research into carbon-based sulfur hosts for Li–S batteries has been ongoing for over two decades, leading to a significant number of publications and ***, the commercialization of Li–S batteries has yet to be realized. This can be attributed, in part, to the instability of the Li metal anode. However, even when considering just the cathode side, there is still no consensus on whether carbon-based hosts will prove to be the best sulfur hosts for the industrialization of Li–S batteries. Recently, there has been controversy surrounding the use of carbon-based materials as the ideal sulfur hosts for practical applications of Li–S batteries under high sulfur loading and lean electrolyte conditions. To address this question, it is important to review the results of research into carbon-based hosts, assess their strengths and weaknesses, and provide a clear perspective. This review systematically evaluates the merits and mechanisms of various strategies for developing carbon-based host materials for high sulfur loading and lean electrolyte conditions. The review covers structural design and functional optimization strategies in detail, providing a comprehensive understanding of the development of sulfur hosts. The review also describes the use of efficient machine learning methods for investigating Li–S batteries. Finally, the outlook section lists and discusses current trends, challenges, and uncertainties surrounding carbon-based hosts, and concludes by presenting our standpoint and perspective on the subject.

关键词： Li-S batteries Carbon materials Structural design Functional modification Machine learning

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Mesoscale structures and mechanisms in ionic liquids

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Particuology 2020年第1期18卷 55-64页

作者： Xiaomin Liu Xiaoqian Yao Yanlei Wang Suojiang Zhang School of Chemistry and Chemical Engineering Qingdao UniversityQingdao 266071ShandongChina Beijing Key Laboratory of Ionic Liquids Clean Process State Key Laboratory of Multiphase Complex SystemsKey Laboratory of Green Process and EngineeringInstitute of process EngineeringChinese Academy of SciencesBeijing 100190China

Ionic liquids(ILs)have attracted intensive attention and have been used widely in many applications because of their diversified properties,which are caused by the special structure of the *** clusters are one of the typical structures that exist widely in the IL *** are stable under certain conditions and change under other *** clusters are a typical mesoscale phenomenon in *** this review,we summarize our recent progress related to ionic clusters,including the ionic-cluster structure,changing mechanisms,and their effect on the physicochemical *** cluster investigation based on mesoscience is very important,will provide new insight into the structures and properties of ILs,and will boost further exploration of IL applications.

关键词： Ionic liquid Mesoscale structure Ionic cluster

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Theoretical Insight into the Effect of Steam Temperature on Heavy Oil/Steam Interface Behaviors Using Molecular Dynamics Simulation

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Journal of Thermal Science 2023年第6期32卷 2179-2195页

作者： YANG Renfeng CHEN Dongsheng ZHENG Wei MIAO Tingting LIU Fan WANG Taichao CHEN Hengyuan CHENG Tong State Key Laboratory of Offshore Oil Exploitation Beijing100028China Beijing Key Laboratory of Process Fluid Filtration and Separation College of Mechanical and Transportation EngineeringChina University of Petroleum-BeijingBeijing102249China CNOOC Research Institute Ltd. Beijing100028China

The interfacial behavior between heavy oil and steam is one of the vital pointers affecting the development efficiency of steam injection for heavy oil ***,the underlying mechanisms of the interaction between heavy oil and steam at high temperature and pressure remain ***,we have investigated the molecular-scale interactions on the interface between heavy oil droplet and steam phase at high temperatures(473 K,498 K,523 K,and 548 K)via molecular dynamics *** results show that the interfacial thickness between heavy oil droplet and steam phase increases gradually with temperature,while the interfacial tension decreases ***,high temperature can damage hydrogen bonds,resulting in lower interaction energy between heavy oil droplet and steam *** radial distribution function results demonstrate that the interaction between heavy oil fractions and steam phase can be weakened by high ***,the evolutions of interface are directly observed by the two-dimension density cloud maps at different temperatures,and the mean square displacement and self-diffusion coefficient demonstrate the evolution mechanism of heavy oil fractions and *** particular,the heavy oil/steam systems with asphaltenes at the interface are more likely to achieve high diffusivity and emulsifying *** work provides a molecular-level insight for understanding the interfacial interaction mechanisms of heavy oil/steam systems during a steam injection process.

关键词： interfacial behavior heavy oil steam molecular dynamics simulation

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Life cycle assessment of carbon footprint in dual-phase automotive strip steel production

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Environmental Science and Pollution Research 2024年第17期31卷 26300-26314页

作者： Fang, Xiaoqing Sun, Wenqiang Li, Weidong Ma, Guangyu Department of Energy Engineering School of Metallurgy Northeastern University Liaoning Shenyang110819 China Ministry of Ecology and Environment Liaoning Shenyang110819 China Liaoning Engineering Research Center of Process Industry Energy Saving and Low-Carbon Technologies Liaoning Shenyang110819 China State Key Laboratory of Metal Material for Marine Equipment and Application Liaoning Anshan114009 China Ansteel Iron and Steel Research Institute Ansteel Group Co. Ltd. Liaoning Anshan114009 China

As the demand for automotive materials grows more stringent in environmental considerations, it becomes imperative to conduct thorough environmental impact assessments of dual-phase automotive strip steel (DP steel). However, the absence of detailed and comparable studies has left the carbon footprint of DP steel and its sources largely unknown. This study addresses this gap by establishing a cradle-to-gate life cycle model for DP steel, encompassing on-site production, energy systems, and upstream processes. The analysis identifies and scrutinizes key factors influencing the carbon footprint, with a focus on upstream mining, transportation, and on-site production processes. The results indicate that the carbon footprint of DP steel is 2.721 kgCO2-eq/kgDP, with on-site processes contributing significantly at 88.1%. Sensitivity analysis is employed to assess the impact of changes in resource structure, on-site energy, CO2 emission factors, and byproduct recovery on the carbon footprint. Proposals for mitigating carbon emissions in DP steel production include enhancing process gas recovery, transitioning to cleaner energy sources, and reducing the hot metal-to-steel ratio. These findings offer valuable insights for steering steel production towards environmentally sustainable practices. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Carbon footprint

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Time-Attention Graph Convolutional Network Soft Sensor in biochemical processes 4

Time-Attention Graph Convolutional Network Soft Sensor in Bi...

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4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Jia, Mingwei Xu, Danya Yang, Tao Yao, Yuan Liu, Yi Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou310023 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China National Tsing Hua University Department of Chemical Engineering 30013 Taiwan

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

Most data-driven soft sensor methods can model nonlinear time-varying characteristics of biochemical processes. However, the intrinsic relationship between variables, which is helpful for understanding model behavior, has rarely been investigated in existing data-driven methods. In this work, a novel soft sensor model of time-attention graph convolutional network (TA-GCN) is proposed, which jointly leverages variable relationships and long-term temporal dependencies to improve interpretability and prediction accuracy. This model first uses the maximum information coefficient to construct a topology graph and trains edge strengths end-to-end. The data are then encoded in the spatial-temporal dimension based on GCN and attention mechanism. Finally, the empirical knowledge that analyzes the operating state of the process and graph are combined to explain the model behavior. In comparison to existing soft sensors, TA-GCN enables efficient and scalable training for long-term spatial-temporal dependencies. Experimental results on InPenSim dataset demonstrate that TA-GCN is competitive with state-of-the-art methods. © 2022 IEEE.

关键词： Convolution

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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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