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激光诱导荧光技术与地下水重金属原位检测应用进展

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岩矿测试 2025年第1期44卷 19-34页

作者：毛康薛家奇陈卓张华中国科学院地球化学研究所环境地球化学国家重点实验室贵州贵阳550081

对地下水重金属污染进行现场检测,是快速识别重金属种类和评价污染程度的重要手段。激光诱导荧光技术(LIF)利用特定荧光探针,在目标重金属存在下,通过激光诱导荧光探针产生/猝灭荧光,从而完成对重金属的识别和检测,具有快速甄别地下水... 详细信息

对地下水重金属污染进行现场检测,是快速识别重金属种类和评价污染程度的重要手段。激光诱导荧光技术(LIF)利用特定荧光探针,在目标重金属存在下,通过激光诱导荧光探针产生/猝灭荧光,从而完成对重金属的识别和检测,具有快速甄别地下水重金属污染特性和无损获取其价态的优势。本文在简述LIF检测重金属原理和LIF原位检测地下水重金属装备基础上,重点从荧光探针合成及其在重金属传感检测方法的构建上总结了基于不同荧光探针的LIF现场检测重金属的研究进展。目前可用于重金属检测的荧光探针包括以小分子探针、有机大分子和聚集诱导发光为主的有机荧光探针和以金纳米簇、量子点和金属有机框架材料为代表的纳米荧光探针。这些探针的合成及其对应的传感检测方法的构建表明LIF技术在地下水重金属检测中具有巨大优势。而针对地下水重金属检测的LIF设备研发方面的成果虽不如荧光传感检测方法丰富,但已研制出部分重金属的传感器和检测装备,表现出良好的应用前景。未来研究将会聚焦在地下水重金属主控因子识别和抗干扰技术研发、荧光探针合成与LIF检测方法构建、重金属传感部件和检测装备集成研制,以及检测技术标准化,为后续场地地下水典型重金属LIF检测技术的研究提供参考。

关键词：地下水重金属激光诱导荧光荧光探针现场检测

Single atom catalysts by atomic diffusion strategy

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Nano Research 2021年第12期14卷 4398-4416页

作者： Lihong Lin zhuo chen Wenxing chen Energy&Catalysis Center School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing100081China

The depletion of energy and increasing environmental pressure have become one of the main challenges in the world *** high-efficiency catalysts bring hope for efficient conversion of energy and effective treatment of pollutants,especially,single-atom catalysts(SACs)are promising ***,we comprehensively summarizes the atomic diffusion strategy,which is considered as an effective method to prepare a series of *** to the different diffusion forms of the precursors,we review the synthesis pathways of SACs from three aspects:gas diffusion,solid diffusion and liquid *** gaseous diffusion method mainly discusses atomic layer deposition(ALD)and chemical vapor deposition(CVD),both of which carry out gas phase mass transfer at high *** solid-state diffusion method can be divided into nanoparticle transformation into single atoms and solid atom *** diffusion mainly describes the electrochemical method and the molten salt *** hope this review can trigger the rational design of SACs.

关键词： single atomic catalyst gas diffusion solid diffusion liquid diffusion

Simulation of macrosegregation in a 36-t steel ingot using a multiphase model

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International Journal of Minerals,Metallurgy and Materials 2020年第2期27卷 200-209页

作者： zhuo chen Hou-fa Shen Key Laboratory for Advanced Material Processing Technology Ministry of Education School of Material Science and Engineering Tsinghua University

Macrosegregation is the major defect in large steel ingots caused by solute partitioning and melt convection during *** this study,a three-phase(liquid,columnar dendrites,and equiaxed grains)model is proposed to simulate macrosegregation in a 36-t steel ingot.A supplementary set of conservation equations are employed in the model such that two types of equiaxed grains,either settling or adhering to the solid shell,are well *** predicted concentration agrees quantitatively with the experimental value.A negative segregation cone was located at the bottom owing to the grain settlement and solute-enriched melt leaving from the mushy *** interdendritic liquid flow was carefully analyzed,and the formation of A-type segregations in the mid-height of the ingot is *** segregation was observed near the riser neck due to the specific relationship between flow direction and temperature ***,the as-cast macrostructure of the ingot is presented,including the grain size distribution and columnar–equiaxed transition.

关键词： macrosegregation multiphase model transportation solidification steel ingot

Solvent extraction kinetics of Sm(Ⅲ),Eu(Ⅲ) and Gd(Ⅲ) with 2-ethylhexyl phosphoric acid-2-ethylhexyl ester

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Chinese Journal of Chemical Engineering 2018年第2期26卷 317-321页

作者： zhuo chen Yundong Wang State Key Laboratory of Chemical Engineering Department of Chemical EngineeringTsinghua University

Solvent extraction kinetics of Sm（Ⅲ）, Eu（Ⅲ） and Gd（Ⅲ） from hydrochloric acid have been focused on using 2-ethylhexyl phosphoric acid-2-ethylhexyl ester （P507） with Anordning for Kontinuerlig Undersokning av Fordelningsfaktore rid Vatske Extraction （AKUFVE）. Compared with the conventional set-up, some advantages emerge obviously, for example, fast phase separation, easy operation and convenience of kinetic data acquisition. First of all, the extraction mechanism was discussed based on the dimeric model of P507. Secondly, the effects of stirring speed were investigated and 420 r-min-1 was determined of the following experiments. The effects of pH, concentration of rare earth elements （REEs） and P507 on the extraction rate were analyzed. The results indicated that the extraction mechanism changed with the increasing concentration of P507. Then, the experiments with different temperature were carried out. It turned out that the values of apparent activation energy （Ea） for Sm（Ⅲ）, Eu（Ⅲ） and Gd（Ⅲ） extracted by P507 were 26.80 kJ-mol-1, 13.40 ***-1 and 1.10 kJ- mol- 1 respectively, the resistance of the entire process was limited by diffusion or both of diffusion and reaction. Finally, the correlation equations were obtained, and the theoretical results fit with the experimental data well, most relative error was within ± 30%.

关键词： Rare earth elements (REEs)Extraction Kinetics Model

Assembly processes in the eastern Northern Orogenic Belt and implications for the spatiotemporal transition of major tectonic domains in Northeast Asia

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Science China Earth Sciences 2023年第11期66卷 2648-2652页

作者： Jianbo ZHOU zhuo chen College of Earth Sciences Jilin UniversityChangchun 130061China

The Northern Orogenic Belt(NOB,also known as the Central Asian Orogenic Belt,CAOB)is the world's largest Phanerozoic accretionary orogenic belt and records geological processes involved in the development and evolution of the Paleo-Asian Ocean from the Neoproterozoic through the early Paleozoic to the Late *** NOB thus provides an ideal natural laboratory for geologists to study Phanerozoic continental dynamics and mineralization.

关键词： Paleozoic Belt Northeast

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Combining neural network-based method with heuristic policy for optimal task scheduling in hierarchical edge cloud

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Digital Communications and Networks 2023年第3期9卷 688-697页

作者： zhuo chen Peihong Wei Yan Li College of Computer Science and Engineering Chongqing University of TechnologyChongqing200433China School of Artificial Intelligence Chongqing University of TechnologyChongqing200433China

Deploying service nodes hierarchically at the edge of the network can effectively improve the service quality of offloaded task requests and increase the utilization of *** this paper,we study the task scheduling problem in the hierarchically deployed edge *** first formulate the minimization of the service time of scheduled tasks in edge cloud as a combinatorial optimization problem,blue and then prove the NP-hardness of the *** from the existing work that mostly designs heuristic approximation-based algorithms or policies to make scheduling decision,we propose a newly designed scheduling policy,named Joint Neural Network and Heuristic Scheduling(JNNHSP),which combines a neural network-based method with a heuristic based *** takes the Sequence-to-Sequence(Seq2Seq)model trained by Reinforcement Learning(RL)as the primary policy and adopts the heuristic algorithm as the auxiliary policy to obtain the scheduling solution,thereby achieving a good balance between the quality and the efficiency of the scheduling ***-depth experiments show that compared with a variety of related policies and optimization solvers,JNNHSP can achieve better performance in terms of scheduling error ratio,the degree to which the policy is affected by re-sources limitations,average service latency,and execution efficiency in a typical hierarchical edge cloud.

关键词： Edge cloud Task scheduling Neural network Reinforcement learning

Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms

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International Journal of Digital Earth 2023年第1期16卷 3384-3416页

作者： zhuo chen Danqing Song College of Civil Engineering Sichuan Agricultural UniversityDujiangyanPeople’s Republic of China Sichuan Higher Education Engineering Research Center for Disaster Prevention and Mitigation of Village Construction Sichuan Agricultural UniversityDujiangyanPeople’s Republic of China School of Civil Engineering and Transportation South China University of TechnologyGuangzhouPeople’s Republic of China State Key Laboratory of Subtropical Building Science South China University of TechnologyGuangzhouPeople’s Republic of China

Landslides are one of the most common geological hazards worldwide,especially in Sichuan Province(Southwest China).The current study's main,purposes are to explore the potential applications of convolutional neural networks(CNN)hybrid ensemble metaheuristic optimization algorithms,namely beluga whale optimization(BWO)and coati optimization algorithm(COA),for landslide susceptibility mapping in Sichuan Province(China).For this aim,fourteen landslide conditioning factors were compiled in a spatial *** effectiveness of the conditioning factors in the development of the landslide predictive model was quantified using the linear support vector machine *** receiver operating characteristic(ROC)curve(AUC),the root mean square error,and six statistical indices were used to test and compare the three resultant *** the training dataset,the AUC values of the CNN-COA,CNN-BWO and CNN models were 0.946,0.937 and 0.855,*** terms of the validation dataset,the CNN-COA model exhibited a higher AUC value of 0.919,while the AUC values of the CNN-BWO and CNN models were 0.906 and 0.805,*** results indicate that the CNN-COA model,followed by the CNN-BWO model,and the CNN model,offers the best overall performance for landslide susceptibility analysis.

关键词： Landslide susceptibility convolutional neural network beluga whale optimization coati optimization algorithm hybrid models Sichuan Province

Research Progress of Structure Based Antitumor Drug Design

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Chinese Journal of Structural Chemistry 2020年第12期39卷 2085-2090,2053页

作者： ZHANG Lei chen zhuo State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China University of Chinese Academy of Sciences Beijing 100049China

At present,the development of antineoplastic drugs has been highly *** strategies have been developed to explore the safety and effectiveness of antitumor *** recent years,the progress of structural analysis of tumor-associated proteins provides a solid foundation for the design of new targeted drugs through efficient prediction and screening *** this review,we briefly summarize the research and development of new antitumor drugs based on structure to enhance tumor targeting property and reduce side effects.

关键词： structure drug design antitumor

Recent advances in the microfluidic generation of shape-controllable hydrogel microparticles and their applications

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Green Chemical Engineering 2024年第1期5卷 16-30页

作者： Yingzhe Liu zhuo chen Jianhong Xu The State Key Lab of Chemical Engineering Department of Chemical EngineeringTsinghua UniversityBeijing100084China

Hydrogel microparticles,generally accepted as significant green materials,have been widely used in chemical,biological,and biomedical fields owing to their excellent biocompatibility,biodegradability,and *** these,non-spherical hydrogel microparticles with diverse shape anisotropy have great potential in applications such as drug delivery,cellular interaction,micromotors,*** from their shapes,their functionalities in such fields cannot be satisfied by the typical spherical ***,microfluidics with precise control and domination of fluids at microflow sizes has emerged as a powerful method for synthesizing shape-controllable hydrogel microparticles with good monodispersity and unique *** this review,we tried to provide an overview of the production of non-spherical microparticles composed of green hydrogel materials,emphasizing the microfluidic ***,a brief introduction to their current applications is also presented.

关键词： Microfluidics Hydrogel Microparticles Non-spherical Anisotropic Green materials