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| 1 | Effects of particle composition and environmental parameters on catalytic hydrodechlorination of trichloroethylene by nanoscale bimetallic Ni-Fe显示文摘Catalytic nickel was successfully incorporated into nanoscale iron to enhance its dechlorination efficiency for trichloroethylene(TCE), one of the most commonly detected chlorinated organic compounds in groundwater. Ethane was the predominant product. The greatest dechlorination efficiency was achieved at 22 molar percent of nickel. This nanoscale Ni-Fe is poorly ordered and inhomogeneous; iron dissolution occurred whereas nickel was relatively stable during the 24-hr reaction. The morphological characterization provided significant new insights on the mechanism of catalytic hydrodechlorination by bimetallic nanoparticles. TCE degradation and ethane production rates were greatly affected by environmental parameters such as solution pH, temperature and common groundwater ions. Both rate constants decreased and then increased over the pH range of 6.5 to 8.0, with the minimum value occurring at pH 7.5. TCE degradation rate constant showed an increasing trend over the temperature range of 10 to 25?C. However, ethane production rate constant increased and then decreased over the range, with the maximum value occurring at 20?C. Most salts in the solution appeared to enhance the reaction in the first half hour but overall they displayed an inhibitory effect. Combined ions showed a similar effect as individual salts. | Jianjun Wei Yajing Qian Wenjuan Liu Lutao Wang Yijie Ge Jianghao Zhang Jiang Yu Xingmao Ma | 2014 | Journal of Environmental Sciences2014，26，5： | 9 |
| 2 | Pathological Networks Involving Dysmorphic Neurons in Type ⅡFocal Cortical Dysplasia显示文摘Focal cortical dysplasia(FCD)is one of the most common causes of drug-resistant epilepsy.Dysmorphic neurons are the major histopathological feature of typeⅡFCD,but their role in seizure genesis in FCD is unclear.Here we performed whole-cell patch-clamp recording and morphological reconstruction of cortical principal neurons in postsurgical brain tissue from drug-resistant epilepsy patients.Quantitative analyses revealed distinct morphological and electrophysiological characteristics of the upper layer dysmorphic neurons in typeⅡFCD,including an enlarged soma,aberrant dendritic arbors,increased current injection for rheobase action potential firing,and reduced action potential firing frequency.Intriguingly,the upper layer dysmorphic neurons received decreased glutamatergic and increased GABAergic synaptic inputs that were coupled with upregulation of the Na^(+)-K^(+)-Cl^(−)cotransporter.In addition,we found a depolarizing shift of the GABA reversal potential in the CamKⅡ-cre::PTENflox/flox mouse model of drug-resistant epilepsy,suggesting that enhanced GABAergic inputs might depolarize dysmorphic neurons.Thus,imbalance of synaptic excitation and inhibition of dysmorphic neurons may contribute to seizure genesis in typeⅡFCD. | Yijie Shao Qianqian Ge Jiachao Yang Mi Wang Yu Zhou Jin-Xin Guo Mengyue Zhu Jiachen Shi Yiqi Hu Li Shen Zhong Chen Xiao-Ming Li Jun-Ming Zhu Jianmin Zhang Shumin Duan Jiadong Chen | 2022 | Neuroscience Bulletin2022，38，9： | 1 |
| 3 | Towards smart scanning probe lithography: a framework accelerating nano-fabrication process with in-situ characterization via machine learning显示文摘Scanning probe lithography(SPL)is a promising technology to fabricate high-resolution,customized and costeffective features at the nanoscale.However,the quality of nano-fabrication,particularly the critical dimension,is significantly influenced by various SPL fabrication techniques and their corresponding process parameters.Meanwhile,the identification and measurement of nano-fabrication features are very time-consuming and subjective.To tackle these challenges,we propose a novel framework for process parameter optimization and feature segmentation of SPL via machine learning(ML).Different from traditional SPL techniques that rely on manual labeling-based experimental methods,the proposed framework intelligently extracts reliable and global information for statistical analysis to finetune and optimize process parameters.Based on the proposed framework,we realized the processing of smaller critical dimensions through the optimization of process parameters,and performed direct-write nano-lithography on a large scale.Furthermore,data-driven feature extraction and analysis could potentially provide guidance for other characterization methods and fabrication quality optimization. | Yijie Liu Xuexuan Li Ben Pei Lin Ge Zhuo Xiong Zhen Zhang | 2023 | Microsystems & Nanoengineering2023，9，5： | 0 |
| 4 | Proton-induced fast preparation of size-controllable MoS2 nanocatalyst towards highly efficient water electrolysis显示文摘MoS2 has emerged for catalyzing the hydrogen evolution reaction.Various notable strategies have been developed to downsize the MoS2 particles and expose more active edges.However,the restacking issue,which reduces the exposure degree,has rarely been taken into account.Herein,we report on a facile proton-induced fast hydrothermal approach to produce size-controllable MoS2 nanocatalysts and demonstrate that along the varying of sheet sizes,there is a trade-off between the intrinsic catalytic activity(mainly determined by the unsaturated sulfur on the sheet edges)and the active edge accessibility(influenced by the assembly structure).The size-optimized catalyst delivers a high performance of a low overpotential of~200 mV at 10 mA/cm^(2),a Tafel slope of 46.3 mV/dec,and a stable working state,which is comparable to the recent notable works.Our findings will provide a pathway for its large-scale application and enhance the water electrolysis performance. | JingJiang Wei Ge Wang Yijie Zhang Shengping Wang Wanyu Zhao Qihang Liu Congcong Liu Xiaoli Zhao Xiaowei Yang | 2021 | Chinese Chemical Letters2021，32，3： | 0 |
| 5 | Defect reduction to enhance the mechanical strength of nanocellulose carbon aerogel显示文摘Carbon aerogels prepared from renewable nano building blocks are rising-star materials and hold great promise in many fields.However,various defects formed during carbonization at high temperature disfavor the stress transfer and thus the fabrication of flexible carbon aerogel from renewable nano building blocks.Herein,a structural defect-reducing strategy is proposed by altering the pyrolysis route of cellulose nanofiber.Inorganic salt that inhibits the generation of tar volatilization during pyrolysis can prevent the formation of various structural defects.Microstructure with fewer defects can reduce stress concentration and remarkably enhance the compressibility of carbon aerogel,thus increasing the maximum stress retention of carbon aerogel.The carbon aerogel also has high stress sensor sensitivity and excellent temperature coefficient of resistance.The structural defect-reducing strategy will pave a new way to fabricate high-strength carbon materials for various fields. | Haihong Lai Zehong Chen Hao Zhuo Yijie Hu Xuan Zhao Jiwang Yi Hongzhi Zheng Ge Shi Yifan Tong Ling Meng Xinwen Peng Linxin Zhong | 2024 | Chinese Chemical Letters2024，35，1： | 0 |
| 6 | Thermoelectric generator based on anisotropic wood aerogel for low-grade heat energy harvesting显示文摘Thermoelectric generators(TEGs)have received increasing attention due to their potential to harvest low-grade heat energy(<100℃ )and provide power for the Internet of Things(IoT)and wearable electronic devices.Herein,a wood-based ordered framework is used to fabricate carbon nanotube/poly(3,4-ethylenedioxythiophene)(CNT/PEDOT)wood aerogel for TEG.The prepared CNT/PEDOT wood aerogel with an anisotropic structure exhibits a low thermal conductivity of 0.17 W m^(−1)K^(−1)and is advantageous to develop a sufficient temperature gradient.Meanwhile,CNT/PEDOT composites effectively decouple the relationship between the Seebeck coefficient and electrical conductivity by energy filtering effect to enhance thermoelectric(TE)output properties.The vertical TEG assembled by the CNT/PEDOT wood aerogels reveals an output power of 1.5μW and a mass-specific power of 15.48μW g^(−1)at a temperature difference of 39.4 K.Moreover,the layered structure renders high compressibility and fatigue resistance.The anisotropic structure,high mechanical performance,and rapid thermoelectric response,enabling the TEG based on CNT/PEDOT wood aerogel offer opportunities for continuous power supply to low-power electronic devices. | Xuan Zhao Zehong Chen Hao Zhuo Yijie Hu Ge Shi Bing Wang Haihong Lai Sherif Araby Wenjia Han Xinwen Peng Linxin Zhong | 2022 | Journal of Materials Science & Technology2022，，25： | 0 |
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