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Nanoparticles for improving biogas production and effluent biofertilizer

Scientific reports 2025年第1期15卷 19233页

作者： Taha Abdelfattah Mohammed Abdelwahab Junting Pan Ji-Qin Ni Chunping Yang Mahendra Kumar Mohanty Elwan Ali Darwish Samir Hafez Mohamed Desoky Haiping Yang Ahmed Elsayed Mahmoud Fodah Faculty of Agricultural Engineering Al-Azhar University Cairo Egypt. State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Beijing 100081 China. Department of Agricultural and Biological Engineering Purdue University West Lafayette IN 47907 USA. Academy of Environmental and Resource Sciences School of Environmental Science and Engineering Guangdong University of Petrochemical Technology Maoming 525000 Guangdong China. Key Laboratory of Environmental Biology and Pollution Control (Hunan University) College of Environmental Science and Engineering Ministry of Education Hunan University Changsha 410082 Hunan China. School of Environmental Science and Engineering Hainan University Haikou 570228 Hainan China. College of Agriculture Engineering and Technology Odisha University of Agriculture & Technology Bhubaneswar Odisha 751003 India. State Key Laboratory of Coal Combustion School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan 430074 China. Faculty of Agricultural Engineering Al-Azhar University Cairo Egypt. ahmedfodah@azhar.edu.eg. State Key Laboratory of Coal Combustion School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan 430074 China. ahmedfodah@azhar.edu.eg.

The impact of nanoparticles (NP) mixtures (Fe + Ni + Co, Fe + Ni, Fe + Co, and Ni + Co) on the anaerobic digestion (AD) of cow manure was examined through kinetic modelling (Modified Gompertz, Logistic, and First-order kinetic) and experimental observations. The NPs mixture significantly enhanced biogas production rate and yield potential. The variation between predicted and actual biogas yields was smaller with the Modified Gompertz model (1.37% to 5.30%) and First-order kinetic model (0.04% to 3.83%) compared to the Logistic model (1.99% to 7.04%). Additionally, digestates containing NPs showed strong fertility properties (5.16% to 5.36%). The combined use of kinetic models and experiments offers an effective way to quantify the influence of NPs mixture on AD performance, aiding in industrial application.

关键词： Anaerobic digestion Digestate Fertilizer Kinetic model Nanoparticle mixture

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High-Performance Plasma-Enabled Biorefining of Microalgae to Value-Added Products

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ChemSusChem 2019年第22期12卷 4976-4985页

作者： Zhou, Renwu Zhou, Rusen Zhang, Xianhui Fang, Zhi Wang, Xiaoxiang Speight, Robert Wang, Hongxia Doherty, William Cullen, Patrick J. Ostrikov, Kostya Bazaka, Kateryna School of Chemistry Physics and Mechanical Engineering Queensland University of Technology BrisbaneQLD4000 Australia Department of Electronic Science College of Physical Science and Technology Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Institute of Electromagnetics and Acoustics Xiamen University Xiamen361005 China College of Electrical Engineering and Control Science Nanjing Tech University Nanjing210009 China Centre for Tropical Crops and Biocommodities Queensland University of Technology BrisbaneQLD4000 Australia School of Chemical and Biomolecular Engineering The University of Sydney SydneyNSW2006 Australia

Conversion of renewable biomass by time- and energy-efficient techniques remains an important challenge. Herein, plasma catalytic liquefaction (PCL) is employed to achieve rapid liquefaction of microalgae under mild conditions. The choice of the catalyst affects both the liquefaction efficiency and the yield of products. The acid catalyst is more effective and gave a liquid yield of 73.95 wt % in 3 min, as opposed to 69.80 wt % obtained with the basic catalyst in 7 min. Analyses of the thus-formed products and the processing environment reveal that the enhanced PCL performance is linked to the rapid increase in temperature under the effect of plasma-induced electric fields and the generation of large quantities of reactive species. Moreover, the obtained solid residue can be simply upgraded to a carbon product suitable for supercapacitor applications. Therefore, the proposed strategy may provide a new avenue for fast and comprehensive utilization of biomass under benign conditions. © 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

关键词： Microalgae

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Model Predictive control Based on Bayesian Forecasting for a Nitrobenzene Rectifying Tower

Model Predictive Control Based on Bayesian Forecasting for a...

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第三十八届中国控制会议

作者： Bingqiang Huang Biniyam Anteneh Ayalew Xinjian Xiang Zhiyuan He Yong Gu School of Automation and Electrical Engineering Zhejiang University of Science and Technology State Key Laboratory of Industrial Control Industrial Technology Institute of Cyber-Systems and Control Zhejiang University

Step test method is a commonly used system identification method in the plant advanced process control application. Bayesian forecasting method is a kind of method based on subjective experience information and historical data. In this paper, a model identification method based on Bayesian forecasting is proposed. Combining the operators experience information and historical model data, the Bayesian method is used to predict the process model, and the model monitoring is used to abandon the abnormal data. Finally, the MPC controller is designed and the practical application of the top temperature control of the nitrobenzene rectifying tower proves the effectiveness of this method.

关键词： Model predictive control Bayesian dynamic linear model Nitrobenzene rectifying tower

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Wavelength Conversion Efficiency Enhancement in Modal Phase Matched χ(2) Nonlinear Waveguides

arXiv

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arXiv 2021年

作者： Kang, Dongpeng Zhang, Weiqi Helmy, Amr S. Yu, Siyuan Tan, Liying Ma, Jing School of Astronautics National Key Laboratory of Science and Technology on Tunable Laser Harbin Institute of Technology 92 West Dazhi Street Harbin150001 China The Edward S. Rogers Department of Electrical and Computer Engineering Centre for Quantum Information and Quantum Control University of Toronto 10 King’s College Road TorontoONM5S 3G4 Canada

Modal phase matching (MPM) is a widely used phase matching technique in AlxGa1−xAs and other χ(2) nonlinear waveguides for efficient wavelength conversions. The use of a non-fundamental spatial mode compensates the material dispersion but also reduces the spatial overlap of the three interacting waves and therefore limits the conversion efficiency. In this work, we develop a technique to increase the nonlinear overlap by modifying the material nonlinearity, instead of the traditional method of optimizing the modal field profiles. This could eliminate the limiting factor of low spatial overlap inherent to MPM and significantly enhance the conversion efficiency. Among the design examples provided, this technique could increase the conversion efficiency by a factor of up to ∼290 in an AlxGa1−xAs waveguide. We further show that this technique is applicable to all χ(2) material systems that utilize MPM for wavelength conversion. © 2021, CC BY.

关键词： Optical frequency conversion

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Regional pollution source apportionment and emission thresholds determination in Zunyi's major watersheds: Implications for environmental management

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Environmental Pollution 2025年 381卷

作者： Keke Zhao Yujin Gan Chen Li Xiao Guan Zhenbei Wang Fan Li Yatao Liu Fei Qi Xingcheng Zhu Beijing Key Lab for Source Control Technology of Water Pollution College of Environmental Science and Engineering Beijing Forestry University Beijing 100083 China Hebei Province Key Laboratory for Emerging Contaminant Remediation and Risk Prevention and Elimination Beijing Forestry University Xiong'an New Area Hebei 072350 China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing 100012 China Zunyi Environmental Protection Monitoring Center Station Zunyi 563000 China

Zunyi City, in the Yangtze River Economic Belt, faces significant pollution challenges in the Wujiang and Chishui watersheds. This study analyzed water quality changes from 2021 to 2023. To support current and future water environment management, pollutant emissions in 2022 were estimated, and major pollutants were traced during flood and non-flood seasons. Emission thresholds were established for districts and counties firstly, identifying key areas for pollution control. This research innovatively integrates urban non-point sources and forest soil erosion into emissions calculations and introduces pollution emissions threshold. Results indicate that agricultural non-point sources, particularly livestock farming and crop cultivation, are the dominant contributors to watershed pollution, while urban non-point sources play a comparatively minor role, for both two studied watersheds. Natural factors including drought and forest soil erosion also significantly influence pollution degree, particularly during flood seasons when increased erosion intensifies pollutant transport, which was especially pronounced for Chishui watershed. Methodologically, the Positive Matrix Factorization (PMF) model demonstrated greater accuracy and reliability than the Absolute Principal Component Scores-Multiple Linear Regression (APCS-MLR) model in apportioning complex pollution sources, for both two studied watersheds. Based on pollution emissions and source apportionment, regional emission thresholds for COD, NH 3 -N, TN, and TP were proposed. The results reveal that COD emissions in Xishui, Huichuan, Bozhou, and Chishui exceeded their respective thresholds, with TN and TP also surpassing limits in some areas. In summary, this study provides a scientific basis for targeted water quality management in Zunyi City and validates the PMF model as a reliable tool for source apportionment in complex watershed environments.

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Tuning the intrinsic catalytic sites of magnetite to concurrently enhance the reduction of H 2 O 2 and O 2 : Mechanism analysis and application potential evaluation

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Journal of Hazardous Materials 2023年 457卷

作者： Ling Li Min Cheng Eydhah Almatrafi Lei Qin Shiyu Liu Huan Yi Lu Yang Zhexin Chen Dengsheng Ma Mingming Zhang Xuerong Zhou Fuhang Xu Chengyun Zhou Lin Tang Guangming Zeng Cui Lai College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China Center of Research Excellence in Renewable Energy and Power Systems Center of Excellence in Desalination Technology Department of Mechanical Engineering Faculty of Engineering-Rabigh King Abdulaziz University Jeddah 21589 Saudi Arabia

Heterogeneous Fenton-like process based on H 2 O 2 activation has been widely tested for water purification , but its application still faces some challenges such as the use of high doses of chemicals (including catalysts and H 2 O 2 ). Herein, a facile co-precipitation method was utilized for small-scale production (∼50 g) of oxygen vacancies (OVs)-containing Fe 3 O 4 (V o -Fe 3 O 4 ) for H 2 O 2 activation. Experimental and theoretical results collaboratively verified that H 2 O 2 adsorbed on the Fe site of Fe 3 O 4 tended to lose electrons and generate O 2 •- . While the localized electron from OVs of V o -Fe 3 O 4 could assist in donating electrons to H 2 O 2 adsorbed on OVs sites, this allowed more H 2 O 2 to be activated to • OH, which was 3.5 folds higher than Fe 3 O 4 /H 2 O 2 system. Moreover, the OVs sites promoted dissolved oxygen activation and decreased the quenching of O 2 •- by Fe(III), thus promoting the generation of 1 O 2 . Consequently, the fabricated V o -Fe 3 O 4 achieved much higher oxytetracycline (OTC) degradation rate (91.6%) than Fe 3 O 4 (35.4%) at a low catalyst (50 mg/L) and H 2 O 2 dosage (2 mmol/L). Importantly, further integration of V o -Fe 3 O 4 into fixed-bed Fenton-like reactor could effectively eliminate OTC (>80%) and chemical oxygen demand (COD) (21.3%∼50%) within the running period. This study provides promising strategies for enhancing the H 2 O 2 utilization of Fe mineral.

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Towards Body Sensor Network Based Gait Abnormality Evaluation for Stroke Survivors 14th

Towards Body Sensor Network Based Gait Abnormality Evaluatio...

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14th EAI International Conference on Body Area Networks, BodyNets 2019

作者： Qiu, Sen Guo, Xiangyang Zhao, Hongyu Wang, Zhelong Li, Qimeng Gravina, Raffaele Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian116024 China School of Control Science and Engineering Dalian University of Technology Dalian116024 China Department of Informatics Modeling Electronics and Systems University of Calabria Via P. Bucci RendeCS87036 Italy

ISBN: (纸本)9783030348328

Due to the technological advances of micro-electro-mechanical sensor and wireless sensor network, gait analysis has been widely adopted as an significant indicator of mobility impairment for stroke survivors. This paper aims to propose an wearable computing based gait impairment evaluation method with distribute inertial sensor unit (IMU) mounted on human lower limbs. Temporal-spacial gait metrics were evaluated on more than twenty post stroke patients and ten healthy control subjects in the 10-meters-walk-test. Experimental results shown that significant differences exist between stroke patients and healthy subject in terms of various gait metrics. The extracted gait metrics are consistent with clinical observations, and the position estimation accuracy has been validated by optical device. The proposed method has the potential to serve as an objective and cost-efficient tool for rehabilitation-assisting therapy for post stroke survivors in clinical practice. © 2019, ICST Institute for Computer sciences, Social Informatics and Telecommunications engineering.

关键词： Body sensor networks

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A novel microcosm to identify inherently competitive microorganisms with the ability to mineralize phytate in solum

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Soil Ecology Letters 2024年第4期6卷 I0002-I0002页

作者： Sabrina MPittroff Stefan Olsson Ashlea Doolette Ralf Greiner Alan ERichardson Mette Haubjerg Nicolaisen Microbial Ecology and Biotechnology Department of Plant and Environmental SciencesFaculty of ScienceUniversity of CopenhagenThorvaldsensvej 401871 Frederiksberg CDenmark State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops College of Plant ProtectionFujian Agriculture and Forestry UniversityFuzhou 350002China CSIRO Agriculture and Food PO Box 1700CanberraACT2601Australia Department of Food Technology and Bioprocess Engineering Max Rubner InstitutKarlsruheGerman School of Agriculture Food and WineWaite Research InstituteThe University of AdelaideWaite Campus UrrbraeSA5064 Australia Plant Immunity Center Haixia Institute of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhou 350002China

Erratum to Soil ***:10.1007/s42832-021-0089-z The original version of this article unfortunately contained a *** Figure 7B legend for two of the found genera is *** online versin of the original article can be found a... 详细信息

关键词： competitive Figure inherent

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Nitrogen-doped carbon-based single-atom Fe catalysts: Synthesis, properties, and applications in advanced oxidation processes

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Coordination Chemistry Reviews 2023年 475卷

作者： Yuxi Zeng Eydhah Almatrafi Wu Xia Biao Song Weiping Xiong Min Cheng Ziwei Wang Yuntao Liang Guangming Zeng Chengyun Zhou College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China Center of Research Excellence in Renewable Energy and Power Systems Center of Excellence in Desalination Technology Department of Mechanical Engineering Faculty of Engineering-Rabigh King Abdulaziz University Jeddah 21589 Saudi Arabia

Single-atom catalysts (SACs) combine the benefits of both heterogeneous and homogeneous catalysts, they have emerged as the frontier in advanced oxidation processes (AOPs). The isolated active metal centers of carbon-based single-metal atom catalysts can be utilized to the maximum extent. They have recently gained popularity in the realm of environmental catalysis because of their high activity, selectivity, and structural/chemical stability. Nitrogen-doped carbon-based Single-atom Fe catalysts (Fe-SACs) have a high density of the active site, low metal leaching rate and good catalytic performance, and thus have attracted the attention of researchers. However, there seems to be a lack of thorough and critical reviews on the use of carbon-based Fe-SACs for AOPs degradation of organic water pollution. In this review, we focused on the Fe-SACs made of carbon-based materials and their synthesis methods and physical characteristics. We also investigated at how Fe-SACs were used to effectively eliminate contaminants in different AOPs. In addition, the degradation mechanisms and stability of carbon-based Fe-SACs have been discussed. Finally, the advantages of carbon-based Fe-SACs in the catalytic degradation of pollutants are summarized, and the future opportunities and prospects of carbon-based Fe-SACs in the catalytic field are proposed.

关键词： Single-atom Fe Carbon-based Environmental catalysis Advanced oxidation processes Organic pollutants

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A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction

arXiv

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arXiv 2021年

作者： Cheng, Jian Zhang, Tian Zhang, Shuang Ren, Huimin Yu, Guo Zhang, Xiliang Gao, Shangce Ma, Lianbo The Research Institute of Mine Artificial Intelligence in Chinese Institute of Coal Science State Key Laboratory of Intelligent Coal Mining and Strata Control Tiandi Science and Technology Co. Ltd. Beijing100013 China The College of Software Northeastern University Shenyang China The Institute of Intelligent Manufacturing Nanjing Tech University Nanjing211816 China The School of Intelligent Manufacturing and Control Engineering Shanghai Polytechnic University Shanghai China The Faculty of Engineering University of Toyama Toyama-shi930-8555 Japan Foshan Graduate School of Innovation Northeastern University Foshan China

In knowledge graph construction, a challenging issue is how to extract complex (e.g., overlapping) entities and relationships from a small amount of unstructured historical data. The traditional pipeline methods are to divide the extraction into two separate subtasks, which misses the potential interaction between the two subtasks and may lead to error propagation. In this work, we propose an effective cascade dual-decoder method to extract overlapping relational triples, which includes a text-specific relation decoder and a relation-corresponded entity decoder. Our approach is straightforward and it includes a text-specific relation decoder and a relation-corresponded entity decoder. The text-specific relation decoder detects relations from a sentence at the text level. That is, it does this according to the semantic information of the whole sentence. For each extracted relation, which is with trainable embedding, the relation-corresponded entity decoder detects the corresponding head and tail entities using a span-based tagging scheme. In this way, the overlapping triple problem can be tackled naturally. We conducted experiments on a real-world open-pit mine dataset and two public datasets to verify the method's generalizability. The experimental results demonstrate the effectiveness and competitiveness of our proposed method and achieve better F1 scores under strict evaluation metrics. Our implementation is available at https://***/prastunlp/DualDec. Copyright © 2021, The Authors. All rights reserved.

关键词： Decoding

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