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| 1 | Boosting oxygen reduction activity of spinel CoFe2O4 by strong interaction with hierarchical nitrogen-doped carbon nanocages显示文摘The unique hierarchical nitrogen-doped carbon nanocages(h NCNC) are used as a new support to homogeneously immobilize spinel Co Fe_2O_4 nanoparticles by a facile solvothermal method. The so-constructed hierarchical Co Fe_2O_4/h NCNC catalyst exhibits a high oxygen reduction activity with an onset potential of0.966 V and half-wave potential of 0.819 V versus reversible hydrogen electrode, far superior to the corresponding 0.846 and 0.742 V for its counterpart of Co Fe_2O_4/h CNC with undoped hierarchical carbon nanocages(h CNC) as the support, which locates at the top level for spinel-based catalysts to date.Consequently, the Co Fe_2O_4/h NCNC displays the superior performance to the Co Fe_2O_4/h CNC, when used as the cathode catalysts in the home-made Al-air batteries. X-ray photoelectron spectroscopy characterizations reveal the more charge transfer from Co Fe_2O_4 to h NCNC than to h CNC, indicating the stronger interaction between Co Fe_2O_4 and h NCNC due to the nitrogen participation. The enhanced interaction and hierarchical morphology favor the high dispersion and modification of electronic states for the active species as well as the mass transport during the oxygen reduction process, which plays a significant role in boosting the electrocatalytic performances. In addition, we noticed the high sensitivity of O 1 s spectrum to the particle size and chemical environment for spinel oxides, which is used as an indicator to understand the evolution of ORR activities for all the Co Fe_2O_4-related contrast catalysts. Accordingly,the well-defined structure-performance relationship is demonstrated by the combination of experimental characterizations with theoretical calculations. This study provides a promising strategy to develop efficient, inexpensive and durable oxygen reduction electrocatalysts by tuning the interaction between spinel metal oxides and the carbon-based supports. | Hao Fan Lijun Yang Yu Wang Xiali Zhang Qingsong Wu Renchao Che Meng Liu Qiang Wu Xizhang Wang Zheng Hu | 2017 | Science Bulletin2017，62，20： | 2 |
| 2 | Gap engineering of sandwich plasmonic gap nanostructures for boosting plasmon-enhanced electrocatalysis显示文摘Plasmonic catalysis is emerging as a dynamic field in heterogeneous catalysis and holds great promise for the efficient utilization of solar energy.Central to the development of plasmonic catalysis is the design of efficient plasmonic nanocatalysts.In this report,plasmonic gap nanostructures(PGNs)on the basis of Au@poly(o-phenylenediamine)(POPD)@Pd sandwich nanostructures are synthesized as plasmonic nanocatalysts by an in-situ reduction synthetic strategy,which allows for the precise engineering of the POPD gap size between plasmonic Au and catalytic Pd components.The introduction of conducting POPD nanogap in PGNs not only effectively enhances their light harvesting capability,but also provides an effective charge transfer channel for harnessing the photogenerated hot charge carriers.In this respect,distinct gap-dependent performances in plasmon-enhanced electrocatalysis of ethanol oxidation reactions(EOR)are demonstrated with the PGN nanocatalysts and over 2.5 folds of enhancement can be achieved.A volcano plot is derived to describe the relationship between the catalytic activities and gap size of the PGN nanocatalysts,which is well explained by the interplay of their light harvesting and charge transport capabilities.These results highlight the importance of gap engineering in PGNs for plasmonic catalysis and offer the promise of developing efficient plasmonic nanocatalysts for other heterogeneous catalytic reactions. | Lu Cheng Fengxia Wu Yu Tian Xiali Lv Fenghua Li Guobao Xu Hsien-Yi Hsu Yongjun Zhang Wenxin Niu | 2023 | Nano Research2023，16，7： | 1 |
| 3 | A survey on heavy metal concentrations in residential neighborhoods: The influence of secondary water supply systems显示文摘Water quality deterioration often occurs in secondary water supply systems(SWSSs), and increased heavy metal concentrations can be a serious problem. In this survey, twelve residential neighborhoods were selected to investigate the influence of SWSSs on the seasonal changes in heavy metal concentrations from input water to tank and tap water. The concentrations of nine evaluated heavy metals in all groups of water samples were found to be far below the specified standard levels in China. The concentrations of Fe, Mn, and Zn increased significantly from the input water samples to the tank and tap water samples in spring and summer( p < 0.05), especially for the water samples that had been stagnant for a long time. Negative correlations were found between most of the heavy metals and residual chlorine(Fe, Cu, Zn, and As, r =-0.186 to-0.519, p < 0.05). In particular, a high negative correlation was observed between Fe and residual chlorine( r =-0.489 to-0.519, p < 0.01) in spring and summer. Fe and Mn displayed positive correlations with turbidity( r = 0.672 and 0.328, respectively;p < 0.05). In addition, Cr and As were found to be positively associated with some nutrients(NO, TN, and SO;r = 0.420-0.786, p < 0.01). The material of the storage tanks had little influence on the difference in heavy metal concentrations. Overall, this survey illustrated that SWSSs may pose a chronic threat to water quality and could provide useful information for practitioners. | Dong Hu Jie Zeng Yue Hu Xiali Fei Xinyan Xiao Mingbao Feng Xin Yu | 2022 | Journal of Environmental Sciences2022，34，7： | 1 |
| 4 | A modified YOLOv4 detection method for a vision-based underwater garbage cleaning robot显示文摘To tackle the problem of aquatic environment pollution,a vision-based autonomous underwater garbage cleaning robot has been developed in our laboratory.We propose a garbage detection method based on a modified YOLOv4,allowing high-speed and high-precision object detection.Specifically,the YOLOv4 algorithm is chosen as a basic neural network framework to perform object detection.With the purpose of further improvement on the detection accuracy,YOLOv4 is transformed into a four-scale detection method.To improve the detection speed,model pruning is applied to the new model.By virtue of the improved detection methods,the robot can collect garbage autonomously.The detection speed is up to 66.67 frames/s with a mean average precision(mAP)of 95.099%,and experimental results demonstrate that both the detection speed and the accuracy of the improved YOLOv4 are excellent. | Manjun TIAN Xiali LI Shihan KONG Licheng WU Junzhi YU | 2022 | Frontiers of Information Technology & Electronic Engineering2022，23，8： | 1 |
| 5 | Detection of SARS-CoV-2 Antibodies in Oral Fluid Using a Magnetic Particle-Based Chemiluminescence Immunoassay-Beijing Municipality,China,2021显示文摘Introduction:Oral fluids(OFs)have been broadly used as non-invasive samples for evaluating protective IgG antibodies from natural infection or vaccination,especially in pediatric populations.Methods:Paired OF and serum were collected from both individuals who received a booster dose of the inactive coronavirus disease 2019(COVID-19)vaccine as well as those who did not have a history of COVID-19 vaccination and infection(as the control group).The total human IgG antibody(HIgG)content was evaluated as a marker of OF sampling quality.An in-house adapted magnetic particle-based chemiluminescence immunoassay was used for severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)IgG antibody detection in the OF.The SARS-CoV-2 IgG antibody in the serum samples was detected using a commercial immunoassay.Results:In total,579 paired OF and serum samples were collected.An additional 172 OF samples were collected from preschool children.The results indicated that the HIgG concentration in qualified OF samples should be higher than 0.3μg/mL.Compared to the serum assay,the in-house OF immunoassay for detecting IgG antibodies against SARS-CoV-2 had 95.06%accuracy,95.03%sensitivity,and 100%specificity.Conclusions:Overall,the in-house immunoassay for detecting SARS-CoV-2 IgG antibodies in OF showed high potential for application towards serological surveillance and immunization effect assessment after large-scale,inactive COVID-19 vaccination in China. | Naiying Mao Mei Dong Zhen Zhu Qi Huang Xiali Yu Hui Xie Jianping Dong Jingyi Sun Fang Huang Wenbo Xu | 2022 | China CDC weekly2022，4，40： | 1 |
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