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Effects of biochar-based materials on the bioavailability of soil organic pollutants and their biological impacts

The Science of the total environment 2022年 826卷 153956页

作者： Qing Lin Xiaofei Tan Eydhah Almatrafi Yang Yang Wenjun Wang Hanzhuo Luo Fanzhi Qin Chengyun Zhou Guangming Zeng Chen Zhang College of Environmental Science and Engineering Hunan University and Key Laboratory of Environmental Biology and Pollution Control (Hunan University) Ministry of Education 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. College of Environmental Science and Engineering Hunan University and Key Laboratory of Environmental Biology and Pollution Control (Hunan University) Ministry of Education 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. Electronic address: zgming@***.

Motivated by the unique structure and superior properties, biochar-based materials, including pristine biochar and composites of biochar with other functional materials, are considered as new generation materials for diverse multi-functional applications, which may be intentionally or unintentionally released to soil. The influencing mechanism of biochar-based material on soil organisms is a key aspect for quantifying and predicting its benefits and trade-offs. This work focuses on the effects of biochar-based materials on soil organisms within the past ten years. 206 sources are reviewed and available knowledge on biochar-based materials' impacts on soil organisms is summarized from a diverse perspective, including the pollutant bioavailability changes in soil, and potential effects of biochar-based materials on soil organisms. Herein, effects of biochar-based materials on the bioavailability of soil organic pollutants are detailed, from the perspective of plant, microorganism, and soil fauna. Potential biological effects of pristine biochar (PBC), metal/metal compounds-biochar composites (MBC), clay minerals-biochar composites (CMBC), and carbonaceous materials-biochar composites (CBC) on soil organisms are highlighted for the first time. And possible mechanisms are presented based on the different characters of biochar-based materials as well as various environmental interactions. Finally, the bottleneck and challenges of risk assessment of biochar-based materials as well as future prospects are proposed. This work not only promotes the development of risk assessment system of biochar-based materials, but broadens the strategy for the design and optimization of environmental-friendly biochar materials.

关键词： Bioavailability Biochar-based materials Ecological risks Organic pollutants Soil remediation

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Confinement of ZIF-derived copper-cobalt-zinc oxides in carbon framework for degradation of organic pollutants

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Journal of Hazardous Materials 2022年 440卷

作者： Yangzhuo He Ziwei Wang Han Wang Eydhah Almatrafi Hong Qin Danlian Huang Yuan Zhu Chengyun Zhou Quyang Tian Piao Xu Guangming Zeng 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

Developing efficient heterogeneous catalysts for peroxymonosulfate (PMS) activation is extraordinarily desirable in water purification . In this work, a well-defined core-shell copper-cobalt-zinc oxides consisting of Cu 0.92 Co 2.08 O 4 and ZnCo 2 O 4 wrapped by carbon (CuCoZnO/C) was fabricated by a simple one-step calcination using metal-organic frameworks (MOFs) as templates. The as-obtained catalysts were fully characterized and utilized to activate PMS for phenol degradation, and almost 100% degradation efficiency could be achieved within 10 min. The distinct hollow structure allowed the high instantaneous concentration of organic pollutant in a microenvironment, thus providing a driving force to improve the reaction rate. Owing to the mesoporous and adsorptive carbon as well as active Cu 0.92 Co 2.08 O 4 shell, most SO 4 •− radical was confined to catalyst surface immediately once produced rather than release into the bulk solution, making the enriched reactant molecules contact active sites more easily. Further investigation found that both surface-bound SO 4 •− and 1 O 2 were dominantly participated in the catalytic process, achieving an ultrafast pollutant degradation . This work offered a new design for multiple complex oxides from MOFs and extended the development of Co-based heterogenous catalyst in PMS activation for the environmental remediation.

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Novel synthesis strategy for Z-scheme BiOCl/UiO-66 photocatalyst: Enhanced surface area and improved Cr(VI) removal efficiency

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Chemical Engineering Journal 2023年 457卷

作者： Xiaopei Li Eydhah Almatrafi Han Wang Xuran Liu Yang Yang Chengyun Zhou Xiang Tang Xiaoya Ren Linmiao Yin Guangming Zeng Dongbo Wang 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 Department of Chemical and Materials Engineering University of Alberta Edmonton Alberta T6G 1H9 Canada

MOF-based photocatalysts with a large specific surface area have been proven to be a potential candidate for removing heavy metal contaminants from the water environment. Herein, we present a much more available Z-scheme BiOCl/UiO-66 composite photocatalyst via a one-step hydrothermal method for efficiently removing Cr(VI) from wastewater. More importantly, when adding bismuth nitrate in the synthesis procedure, BiOCl was in situ generated on the surface of UiO-66 without an additional chlorine source. Experimental results showed that this novel photocatalyst could effectively remove Cr(VI) without adjusting the pH value and adding hole or hydroxyl radical scavengers, which is meant for practical application. Besides, the BET surface area of one-step synthesized BiOCl/UiO-66 composite was considerably extended to 1530.82 m 2 /g, which is larger than that of two-step synthesized BiOCl/UiO-66 composite and bare UiO-66. Characterization results verified that this one-step synthesized composite's outstanding Cr(VI) photo-removal efficiency was ascribed to increased active sites and improved charge separation and transfer efficiency. This study will likely to provide an effective way to simplify the synthesis procedure of bismuth materials/MOF composites with excellent applications.

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Group feature learning and domain adversarial neural network for aMCI diagnosis system based on EEG

arXiv

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arXiv 2021年

作者： Fan, Chen-Chen Xie, Haiqun Peng, Liang Yang, Hongjun Ni, Zhen-Liang Wang, Guanan Zhou, Yan-Jie Chen, Sheng Fang, Zhijie Huang, Shuyun Hou, Zeng-Guang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China CAS Center for Excellence in Brain Science and Intelligence Technology Beijing100190 China Joint Laboratory of Intelligence Science and Technology Institute of Systems Engineering Macau University of Science and Technology China Department of Neurology First People’s Hospital of Foshan FoshanGuangdong528000 China

— Medical diagnostic robot systems have been paid more and more attention due to its objectivity and accuracy. The diagnosis of mild cognitive impairment (MCI) is considered an effective means to prevent Alzheimer’s disease (AD). Doctors diagnose MCI based on various clinical examinations, which are expensive and the diagnosis results rely on the knowledge of doctors. Therefore, it is necessary to develop a robot diagnostic system to eliminate the influence of human factors and obtain a higher accuracy rate. In this paper, we propose a novel Group Feature Domain Adversarial Neural Network (GF-DANN) for amnestic MCI (aMCI) diagnosis, which involves two important modules. A Group Feature Extraction (GFE) module is proposed to reduce individual differences by learning group-level features through adversarial learning. A Dual Branch Domain Adaptation (DBDA) module is carefully designed to reduce the distribution difference between the source and target domain in a domain adaption way. On three types of data set, GF-DANN achieves the best accuracy compared with classic machine learning and deep learning methods. On the DMS data set, GF-DANN has obtained an accuracy rate of 89.47%, and the sensitivity and specificity are 90% and 89%. In addition, by comparing three EEG data collection paradigms, our results demonstrate that the DMS paradigm has the potential to build an aMCI diagnose robot system. © 2021, CC BY.

关键词： Diagnosis

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Development of a propeller with undulating fins and its characteristics

Development of a propeller with undulating fins and its char...

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2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019

作者： Ma, Ruichen Wang, Yu Wang, Rui Wang, Shuo State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China CAS Center for Excellence in Brain Science and Intelligence Technology

ISBN: (纸本)9781728137261

This paper addresses some experiments about measurements of thrust and heave force generated by a modular designed biomimetic underwater propeller. The propeller has a ribbon fin that consists of twelve rays linked by a latex membrane. Different forms of waves can be generated by the propeller. A measurement platform is constructed to obtain the thrust and heave force generated by the waves along with the input power of the propeller. Three types of waves are performed on the platform, including sinusoidal waves, fusiform sinusoidal waves and inward counter-propagating sinusoidal waves. By changing the parameters of undulating waves, a total of three hundred series of experiments are implemented. The measurement results of three types of waves are analyzed and the differences among three types of waves are compared. © 2019 IEEE.

关键词： Fins (heat exchange)

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Generalized Visual-Tactile Transformer Network for Slip Detection

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IFAC-PapersOnLine 2020年第2期53卷 9529-9534页

作者： Shaowei Cui Junhang Wei Xiaocan Li Rui Wang Yu Wang Shuo Wang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Future Technology University of Chinese Academy of Sciences Beijing 100049 China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai 200031 China

Slip detection plays a vital role in robotic dexterous grasping and manipulation, and it has long been a challenging problem in the robotic community. Different from traditional tactile perception-based methods, we propose a Generalized Visual-Tactile Transformer (GVT-Transformer) network to detect slip based on visual and tactile spatiotemporal sequences. The main novelty of GVT-Transformer is its ability to address unaligned vision and tactile data in various formats captured by various tactile sensors. Furthermore, we train and test our proposed network on a public and our visual-tactile grasping datasets. The experimental results show that our method is more suitable for sliding detection tasks than previous visual-tactile learning methods and more versatile.

关键词： Information sensor fusion Perception sensing Intelligent robotics Deep neural networks Visual-tactile fusion perception

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A simulator with an elastic guidewire and vascular system for minimally invasive vascular surgery

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Science China(Information Sciences) 2018年第10期61卷 250-252页

作者： Xiaoran CHENG Xiaoliang XIE Guibin BIAN Zengguang HOU Shiqi LIU Zhanjie GAO State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences University of Chinese Academy of Sciences CAS Center for Excellence in Brain Science and Intelligence Technology

Simulators play an important role in minimally invasive vascular surgery training. A challenging task for the simulator is to model an elastic guidewire and an elastic vascular system, both of which are important aspects for vascular ***, many simulators treat the virtual vascular system as a rigid object, which reduces the immersion of operators. In this study, a virtual guidewire is first modeled based on Cosserat rod

关键词： Pi Figure A simulator with an elastic guidewire and vascular system for minimally invasive vascular surgery

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Article statistical characteristics and environmental conditions of the warm-season severe convective events over north China

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Atmosphere 2021年第1期12卷

作者： Ma, Ruoyun Feng, Shuanglei Jin, Shuanglong Sun, Jianhua Fu, Shenming Sun, Shijun Han, Hong Key Laboratory of Cloud-Precipitation Physics and Severe Storms Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China College of Earth and Planetary Sciences University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100085 China Electric Power Meteorology State Grid Corporation of China Joint Laboratory Beijing100192 China Zhuhai519000 China International Center for Climate and Environment Sciences Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China Emergency Management Center State Grid Shandong Electric Power Company Jinan250001 China

Based on severe weather reports, surface precipitation observations, surface routine observations, and the European center for Medium-Range Weather Forecasts ERA5 reanalysis dataset during the warm seasons (May–September) of 2011–2018 over North China, this paper analyzes the statistical characteristics and environmental conditions of three types of severe convective events. Results are compared between events with different altitudes (i.e., mountains and plains), severities (i.e., ordinary and significant), and months. Hail and thunderstorm high winds (THWs) are more common over the mountains whereas short-duration heavy rainfall (SDHR) is more frequent over the plains. The occurrence frequency of severe convective events exhibits distinct monthly and diurnal variations. Analyses of the environmental parameters provide reference for the potential forecasting of severe convective events over this region. Specifically, the 850–500 hPa temperature lapse rate (LR85), pseudo-equivalent potential temperature at 500 hPa (thetase500), and precipitable water (PW) are skillful in distinguishing hail and THW environments from SDHR environments, and thetase500 is useful in discriminating between hail and THW environments. The convective environments over the plains are characterized by significantly higher (lower) PW (LR85) compared with mountains. The skill of these parameters in forecasting the severity of the convective hazards is limited. Probability distributions in the two parameters space indicate that the occurrence of significant hail requires both higher most unstable convective available potential energy (MUCAPE) and stronger 0–6 km bulk wind shear (SHR6) compared with ordinary hail. Compared with ordinary THWs, the significant THWs over the mountains depend more on the SHR6 whereas those over the plains rely more on the MUCAPE. The significant SDHR events over the plains tend to occur under a variety of instability conditions. The thermodynamic parameters (i.e., MU

关键词： Potential energy

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Learning category-level implicit 3D rotation representations for 6D pose estimation from RGB Images

Learning category-level implicit 3D rotation representations...

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2019 IEEE International Conference on Robotics and Biomimetics, ROBIO 2019

作者： Li, Xiaocan Cai, Yinghao Wang, Shuo Lu, Tao Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai200031 China

ISBN: (纸本)9781728163215

We exploit the embedding ability of a de-noising autoencoder for an implicit 3D rotation representation learning at the category level. Contrast to the exact 3D reconstruction model of each instance-level physical object, we leverage the inexact CAD/Reconstruction models of an object as the representative model for some category. Under our assumptions that objects within the same category share resemble geometry, we train a de-noising autoencoder on synthetic 3D views of category-level objects to extract the homogenous features at the bottleneck layer. The latent representation is agnostic not only to heterogeneous textures, colors, and illuminations, but also ambiguous pose caused by object symmetry. To extend the instance-level 3D translation estimation to the category level, we considered the 3D diagonal length ratio between the source and target object. We achieved a frame rate of 17Hz. © 2019 IEEE.

关键词： Object detection

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Insight into the effect of pyrolysis temperature on photoreactivity of biochar-derived dissolved organic matter: Impacts of aromaticity and carbonyl groups

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The Science of the total environment 2023年 871卷 162048页

作者： Hanzhuo Luo Eydhah Almatrafi Wenjun Wang Yang Yang Danlian Huang Weiping Xiong Min Cheng Chengyun Zhou Yin Zhou Qing Lin Guoge Fang Guangming Zeng Chen Zhang College of Environmental Science and Engineering Hunan University and Key Laboratory of Environmental Biology and Pollution Control Hunan University Ministry of Education Changsha Hunan 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. School of Resources and Environment Hunan University of Technology and Business Changsha 410205 China. Department of Chemical and Materials Engineering University of Alberta Edmonton Alberta T6G 1H9 Canada. College of Environmental Science and Engineering Hunan University and Key Laboratory of Environmental Biology and Pollution Control Hunan University Ministry of Education Changsha Hunan 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. Electronic address: zgming@***. College of Environmental Science and Engineering Hunan University and Key Laboratory of Environmental Biology and Pollution Control Hunan University Ministry of Education Changsha Hunan 410082 PR China. Electronic address: zhangchen@***.

Practical application of biochar may result in more biochar-derived dissolved organic matter (denoted as BDOM) inevitably release into surface waters by infiltration and surface runoff. The photochemical reaction of BDOM has gained intense attention, which played a key role in the fate of organic contaminants. However, the relationships between specific characteristics of BDOM and its photoreactivity are still uncertain. In this study, the characteristics of BDOM pyrolyzed from rice husk derived biochar at different temperature (from 400 °C to 700 °C) and their effect on the photodegradation of oxytetracycline (OTC) were carefully investigated. The C NMR and EEM results indicated the dominated component of BDOM was gradually turned from humic acid like substances with low aromaticity to high aromaticity with abundant oxygen-containing functional groups as pyrolytic temperature increases. Experimental results showed that the apparent rate constants (k) of BDOM700 (4.53 × 10 min) for OTC photodegradation was approximately one order of magnitude higher than BDOM400 (4.52 × 10 min), which was closely correlated with their aromaticity (R = 0.944). It was found that BDOM* rather than O played the major role in BDOM mediated photodegradation of OTC (80.13 % vs 14.34 %), and the carbonyl-containing group was identified as the main BDOM* precursor by NaBH reduction experiment. This work highlighted both aromaticity and carbonyl group contents were critical indicators for assessing the potential to generate BDOM* and corresponding photoreactivity.

关键词： Dissolved organic matter Electron transfer Photochemistry Pyrolysis temperature Triplet state

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