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Adsorption of Orange G on Activated Porous Carbon Derived from Coal Tar Pitch: Experimental and DFT Study

LANGMUIR 2024年第48期40卷 25471-25482页

作者： huang, Linlin Zhang, xuwen Liu, Tingting Wang, Lin Li, Lixin Li, Da Sheng, Tao Dong, Zilong Zhao, Xinyue Heilongjiang Univ Sci & Technol Coll Environm & Chem Engn Harbin 150022 Peoples R China Harbin Inst Technol State Key Lab Urban Water Resource & Environm Harbin 150000 Peoples R China Northeast Agr Univ Sch Resources & Environm Harbin 150030 Peoples R China

A coal tar pitch-based porous carbon adsorbent (CPA) was synthesized through a straightforward method involving the heating of a mixture of KOH and coal tar pitch (CTP). This CPA exhibited a high surface area of 1811.2 m2 g-1 and a large pore volume of 0.94 cm3 g-1 when prepared with a CTP to KOH mass ratio of 1:4 at 800 degrees C. Parameters such as the heating temperature and activator dose were optimized to enhance the adsorption efficiency. The prepared CPA was extensively characterized by SEM, XRD, FTIR, and BET measurements. Notably, CPA presented a distinct adsorption performance for Orange G (OG), achieving a maximum adsorption capability of 449.7 mg g-1. Kinetic studies indicated that the adsorption process followed the pseudo-second-order model, while the adsorption isotherm data demonstrated that both chemical and physical interactions favored OG adsorption. Thermodynamic analysis revealed that the adsorption of OG on CPA was spontaneous and exothermic and increased the entropy. Density functional theory (DFT) calculations provided insights into the adsorption mechanism, highlighting electrostatic interactions, hydrogen bonds, and pi-pi interactions as the dominant processes governing OG adsorption onto the adsorbent.

关键词： Potassium hydroxide

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2D-Material-Based Volatile and Nonvolatile Memristive Devices for Neuromorphic Computing

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ACS MATERIALS LETTERS 2023年第4期5卷 1109-1135页

作者： Xia, xuwen huang, Wen Hang, Pengjie Guo, Tao Yan, Yong Yang, Jianping Yang, Deren Yu, Xuegong Li, Xing'ao Nanjing Univ Posts & Telecommun NJUPT New Energy Technol Engn Lab Jiangsu Prov Nanjing 210023 Peoples R China Nanjing Univ Posts & Telecommun NJUPT Sch Sci Nanjing 210023 Peoples R China Zhejiang Univ State Key Lab Silicon Mat Hangzhou 310027 Zhejiang Peoples R China Zhejiang Univ Sch Mat Sci & Engn Hangzhou 310027 Zhejiang Peoples R China Univ Waterloo Waterloo Inst Nanotechnol Ctr Adv Mat Joining Dept Mech & Mechatron Engn Waterloo ON N2L 3G1 Canada Henan Normal Univ Sch Phys Henan Key Lab Photovolta Mat Xinxiang 453007 Peoples R China Zhejiang Univ Sci & Technol Sch Sci Hangzhou 310027 Peoples R China

Neuromorphic computing can process large amounts of information in parallel and provides a powerful tool to solve the von Neumann bottleneck. Constructing an artificial neural network (ANN) is a common means to realize neuromorphic computing, which has exhibited potential applications in pattern recognition, complex sensing, and other areas. Reservoir computing (RC), which is another approach to realize neuromorphic computing, has shown some progress and attracted researchers' attention. Neuromorphic computing can be generally implemented by fabricating memristive array systems. 2D-material-based memristive systems and their applications in ANN and RC have been investigated substantially in recent years due to the unique properties of these systems, such as atomic-level thickness and high carrier mobility. In this Review, we first discuss the volatility and nonvolatility properties of memristive devices and their applications in ANN and RC. Second, 2D materials that can be used to fabricate these devices are introduced, and their classification, physical properties, and preparation methods are presented. Third, we discuss the working mechanisms of 2D-material-based synaptic devices, the mimicked synaptic functions, and the applications of these devices in neuromorphic computing through ANN and RC. Lastly, the performance, progress, and future development directions of 2D-material-based synaptic devices are analyzed. This work systematically investigates the status of 2D-material-based synaptic devices and promotes their utilization in neuromorphic computing.

关键词： Electrical conductivity Layers Memristors Polarization Two dimensional materials

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Development of a Synthesis Process for a Novel HCV NS5A Inhibitor, Emitasvir

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ORGANIC PROCESS RESEARCH & DEVELOPMENT 2021年第4期25卷 838-848页

作者： Xie, Hongming Liu, Haiwang Zhang, Yingjun huang, Enhuo Feng, Yahui Xiang, xuwen Fang, Qinghong Peng, Zhihong Dong, Wanrong An, Delie Hunan Univ Coll Chem & Chem Engn State Key Lab Chemo Biosensing & Chemometr Changsha 410082 Hunan Peoples R China Sunshine Lake Pharma Co Ltd State Key Lab Antiinfect Drug Dev 2015DQ780357 Dongguan 523871 Peoples R China HEC Pharm Grp HEC Res & Dev Ctr Dongguan 523871 Peoples R China

A new approach to the synthesis of Emitasvir (DAG181), a small molecule hepatitis C virus (HCV) nonstructural protein 5A (NS5A) inhibitor, is described. Enantioselective enzymatic desymmetrization with hydrolases in the synthetical approach can significantly avoid the loss of chiral raw materials in the resolution process. The synthesis route is further optimized and scaled-up to establish a new process that is applied to the preparation of kilogram scales of target active pharmaceutical ingredients (APIs). Compared with our initial process, the overall yield of target API was dramatically improved from 17 to 40%.

关键词： hepatitis C virus inhibitor Emitasvir enantioselective synthesis process development

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Multi-scale Feature Fusion Extraction Structure for the Leather Defect Detection Algorithm 6

Multi-scale Feature Fusion Extraction Structure for the Leat...

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6th IEEE International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2023

作者： He, xuwen Li, Hao huang, Zihan Xiong, Xiaorui Liu, Yifan Yao, Yuting Wuhan Polytechnic University School of Mathematics and Computer Science Wuhan China

ISBN: (纸本)9798350325485

Detection of surface defects using computer vision is a pivotal technology for achieving intelligent manufacturing. Leather products are one of the most widely traded goods in the world, and automatic identification, localization, and detection of surface defects in leather are indispensable for achieving intelligent manufacturing of leather products. This research paper proposes FG-DETR, a multi-scale feature fusion extraction structure for small target detection algorithms. Given the recent success of deep learning methods in various related fields and that certain defects and flaws in leather pictures in our dataset are relatively small. FG-DETR is based on DETR with some improvements as follows, Initially, DETR's ResNet50 network performs feature extraction on the original image and produces four scales of feature maps. Second, we apply a modified Feature Pyramid Network (FPN) to downsample and upsample the four scales of feature maps, followed by the fusion and output of a single feature map. A Gaussian kernel and output then process the fused feature maps as the final feature maps. Finally, the feature maps are merged with the position encoding information and combined into the Transformer encoder-decoder architecture, resulting in the detection outcomes through the Position-wise Feed-Forward Networks (FFN). In our leather dataset, the FG-DETR model is more effective in detecting small targets than DETR, as our leather images are large, and the original DETR is nearly ineffective for images with relatively small defects. The average detection accuracy of medium and large targets also improved, with a 7.6 percentage point improvement at AP50. The experimental findings demonstrate that the multi-scale feature fusion extraction structure significantly enhances the detection accuracy of DETR. © 2023 IEEE.

关键词： Computer vision

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Evaluation of cultivars diversity and lipid composition properties of Idesia polycarpa var. vestita Diels

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JOURNAL OF FOOD SCIENCE 2022年第9期87卷 3841-3855页

作者： Wen, Leyan Xiang, xuwen Wang, Zhirong Yang, Qingqing Guo, Zehang huang, Pimiao Mao, Jianmei An, Xiaofeng Kan, Jianquan Southwest Univ Coll Food Sci 2 Tiansheng Rd Chongqing 400715 Peoples R China Minist Agr & Rural Affairs Peoples Republ China Lab Qual & Safety Risk Assessment Agroprod Storag Chongqing Peoples R China Chinese Hungarian Cooperat Res Ctr Food Sci Chongqing Peoples R China Chongqing Key Lab Special Food Cobuilt Sichuan & Chongqing Peoples R China Chongqing Shanlinyuan Forestry Comprehens Dev Co Chongqing Peoples R China

Idesia polycarpa var. vestita Diels is a perennial deciduous tree widely distributed throughout China. Four I. polycarpa fruit of different cultivars with different fruit issues during the growth process were compared, which were on the basis of morphological characteristics and chemical compositions. The influencing factors of oil accumulation in I. polycarpa fruit and the correlation between different components were investigated, and the results revealed a negative correlation between oil content and total sugar (r = -0.930), ash (r = -0.606), and crude fiber (r = -0.952). Except for oil, none of the chemical components changed substantially during the growing phase, and most cultivars showed higher oil content in the pulp portion (14.14-43.99 g/100 g). Linoleic acid was the most abundant fatty acid in I. polycarpa oil (IPO), with values ranging from 52.18% to 66.65% (fruit), 55.44% to 65.15% (pulp), and 68.99% to 78.76% (seed). Principal component analysis revealed that Hubei varieties are more advantageous. Besides, the lipid composition of IPO was identified by ultrahigh-performance liquid chromatography coupled with electrospray ionization Q-Exactive Focus mass spectrometry. The glyceride components of IPO were mostly composed of 22 triacylglycerols, 30 diacylglycerols, and 8 monoacyglycerols. Meanwhile, linoleic acid was mainly distributed in sn-2 and sn-3 positions. Practical Application Morphologic characteristics, chemical compositions, oil fatty acid profiles, and oil correlation factors of I. polycarpa were analyzed. The comprehensive score of oil quality by PCA in Hb fruit was the highest. The glyceride components of I. polycarpa oil were mainly composed of 22 triacylglycerols, 30 diacylglycerols, and eight monoacyglycerols.

关键词： chemical properties fatty acid profile Idesia polycarpa var vestita Diels lipid composition principal component analysis

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Review of catalytic pyrolysis of biomass for bio-oil

Review of catalytic pyrolysis of biomass for bio-oil

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International Conference on Materials for Renewable Energy and Environment

作者： Shi, Kaiqi Shao, Shuangxi huang, Qiang Liang, xuwen Lan, Jiang Ya, Li Key Laboratory of Biomass Green Transformation Ningbo University of Technology Ningbo China

ISBN: (纸本)9781612847504

Pyrolysis utilizes biomass to produce a liquid product bio-oil which is widely used as a potential energy source and a low-cost feedstock for chemical production. Considerable efforts have been made to convert biomass to bio-oil since the oil crisis in mid-1970s. This review focuses on the recent developments in catalysts used in pyrlysis of biomass for bio-oil production. In this review, 5 types of catalysts such as metal oxide, molecular sieve, mineral, transition metal and others, have been given. Molecular sieves, such as HZSM-5, ZSM-5, MCM-41, SBA-15, HUSY, REY and their modified catalysts are most widely used in biomass catalytic pyrolysis process. The effects of catalysts on bio-oil yields, quality, composition, stability etc. are also discussed. Although catalysts in pyrolysis of biomass produce markedly influences on bio-oil products, the variety of catalyst types and properties make generalizations difficult to define, in regard to trying to critically analyze the literature. © 2011 IEEE.

关键词： Biomass

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A Three-Dimensional Cyclic Multiplication - Convolution Neural Network for Hyperspectral Image Classification 19

A Three-Dimensional Cyclic Multiplication - Convolution Neur...

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2022 IEEE SmartWorld, 19th IEEE International Conference on Ubiquitous Intelligence and Computing, 2022 IEEE International Conference on Autonomous and Trusted Vehicles Conference, 22nd IEEE International Conference on Scalable Computing and Communications, 2022 IEEE International Conference on Digital Twin, 8th IEEE International Conference on Privacy Computing and 2022 IEEE International Conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022

作者： Xiong, Xiaorui huang, Zihan Sheng, Zhongyin Xu, Zihan He, xuwen Lin, Qiaoling Wuhan Polytechnic University School of Mathematics and Computer Science Wuhan China

ISBN: (纸本)9798350346558

Hyperspectral images have a large amount of spectral and spatial information, and play a significant role in remote sensing. However, the traditional image classification techniques are no longer applicable to the developing hyperspectral remote sensing images, and how to reasonably utilize the rich feature information of hyperspectral images to obtain high-accuracy classification results has become one of the most important research topics at present. This paper proposes a new 3D convolutional neural network to solve the problem of feature wastage in hyperspectral images. The framework cycles the convolutional kernel size, and the number of convolutional kernels increases in a multiplicative relationship for hyperspectral image classification (CM-CNN). Compared with existing neural network frameworks on different datasets, CMCNN achieves the highest Kappa coefficient and confusion matrix accuracy, which are stable at above 95%. From the classification results, there are almost no obvious classification errors. © 2022 IEEE.

关键词： Image classification

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钢渣-灰岩人工湿地去除生活污水中的氮素

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水处理技术 2011年第9期37卷 109-112页

作者：黄玲何绪文华北科技学院北京101601 中国矿业大学(北京) 北京100083

构建小试系统研究了钢渣-灰岩人工湿地对生活污水中氮素的去除效果,分析了填料填铺方式和表层填料对湿地去除生活污水氮素效果的影响,并建立了钢渣-灰岩人工湿地转化氮素的数学模型。结果表明,当原水平均氨氮、TN的质量浓度分别为257.7... 详细信息

构建小试系统研究了钢渣-灰岩人工湿地对生活污水中氮素的去除效果,分析了填料填铺方式和表层填料对湿地去除生活污水氮素效果的影响,并建立了钢渣-灰岩人工湿地转化氮素的数学模型。结果表明,当原水平均氨氮、TN的质量浓度分别为257.7和398.4 mg.L-1时,钢渣-灰岩垂直潜流人工湿地出流氨氮和TN的质量浓度可分别降至13.57和62.83 mg.L-1;大级配差的正反粒径混合填铺的填料结构和渗透性良好的表层填料更有利于钢渣-灰岩人工湿地降解氮素效果;钢渣-灰岩垂直潜流人工湿地处理系统对氮素的去除规律较好符合1级反应动力学方程。

关键词：人工湿地生活污水氮钢渣灰岩

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In the platform of the practice teaching link, study on environmental elite education

In the platform of the practice teaching link, study on envi...

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5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Caihong, Yu Ying, huang Dongyao, Xu xuwen, He Jianbing, Wang Yan, Yu 100083 Beijing China

ISBN: (纸本)9789400776173

In recent years, the environmental engineering of China university of mining and technology (Beijing) specialty carried out a series of reforms, aimed to improve the students' practical experience of innovative ability. This paper explores the practice teaching system of environmental engineering by combining with that practical experience. It is on the basis of the spirit that "Constructing energy industry elite education teaching system actively and explore diversified personnel training mode", which was put forward by our school. In addition, this paper also introduces the measures to integrate the advantage of research with the discipline's in environmental engineering, to highlight energy professional advantages of our school, to build practice teaching link in the field of coal disposal and to cultivate environmental professional elite talent. © Springer Science+Business Media Dordrecht 2014.

关键词： Personnel training

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Impermeability performance and corrosion resistance mechanism of basalt fiber recycled concrete under the coastal tidal environment

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CONSTRUCTION AND BUILDING MATERIALS 2024年 411卷

作者： Yang, Wenrui huang, Yuewen Tang, Zhiyi Xiong, Xiaolong Li, Chengwei Zhong, xuwen Liu, Liai Zhou, Hai Zhang, Xun East China Univ Technol Sch Civil & Architectural Engn Nanchang 330012 Peoples R China Wuhan Univ Technol Sch Transportat & Logist Engn Wuhan 430063 Peoples R China

The application of Recycled Aggregate Concrete (RAC) can effectively reduce resource consumption and mitigate environmental pollution. Under the coastal tidal environments, the performance of concrete is significantly impacted by environmental degradation. Incorporating fibers into RAC can enhance its performance in such special conditions. This study investigates the variations in properties of RAC with different Basalt Fiber (BF) volume ratios (0%, 0.5%, 1.0%, 1.5%) under composite salt dry-wet cyclic erosion cycles (0 d, 30 d, 60 d, 90 d). The results from apparent corrosion morphology analysis, internal microstructure examination, and impermeability testing demonstrate that BF can effectively inhibit the expansion of micro cracks and micropores within the test block while improving the overall compactness of the internal structure of RAC. When the BF content reaches 1.0%, it exhibits an optimal toughening effect on RAC with significantly improved impermeability and corrosion resistance properties. Furthermore, this paper comprehensively summarizes and verifies the corrosion damage mechanism of Basalt Fiber Recycled Aggregate Concrete (BFRAC) under composite salt dry-wet cycles through chemical reaction principles. A salt solution erosion model for BFRAC is proposed to elucidate fiber crack resistance mechanisms and explain accelerated corrosion caused by ion crack channels within salt solutions. This proposed model provides theoretical support for understanding salt erosion damage in fiberreinforced concrete.

关键词： Coastal tidal environment Basalt fiber Recycled concrete Impermeability Corrosion mechanism

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