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A batch microfabrication of a self-cleaning,ultradurable electrochemical sensor employing a BDD film for the online monitoring of free chlorine in tap water

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Microsystems & Nanoengineering 2022年第2期8卷 85-96页

作者： Jiawen Yin Wanlei Gao Weijian Yu Yihua Guan Zhenyu Wang qinghui jin Faculty of Electrical Engineering and Computer Science Ningbo University315211 NingboP.R.China State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences200050 ShanghaiP.R.China

Free chlorine is one of the key water quality parameters in tap water.However,a free chlorine sensor with the characteristics of batch processing,durability,antibiofouling/antiorganic passivation and in situ monitoring of free chlorine in tap water continues to be a challenging issue.In this paper,a novel silicon-based electrochemical sensor for free chlorine that can self-clean and be mass produced via microfabrication technique/MEMS(Micro-Electro-Mechanical System)is proposed.A liquid-conjugated Ag/AgCI reference electrode is fabricated,and electrochemically stable BDD/Pt is employed as the working/counter electrode to verify the effectiveness of the as-fabricated sensor for free chlorine detection.The sensor demonstrates an acceptable limit of detection(0.056 mg/L)and desirable linearity(R^(2)=0.998).Particularly,at a potential of+2.5 V,hydroxyl radicals are generated on the BBD electrode by electrolyzing water,which then remove the organic matter attached to the surface of the sensor though an electrochemical digestion process.The performance of the fouled sensor recovers from 50.2 to 94.1%compared with the initial state after self-cleaning for 30 min.In addition,by employing the MEMS technique,favorable response consistency and high reproducibility(RSD<4.05%)are observed,offering the opportunity to mass produce the proposed sensor in the future.A desirable linear dependency between the pH,temperature,and flow rate and the detection of free chlorine is observed,ensuring the accuracy of the sensor with any hydrologic parameter.The interesting sensing and selfcleaning behavior of the as-proposed sensor indicate that this study of the mass production of free chlorine sensors by MEMS is successful in developing a competitive device for the online monitoring of free chlorine in tap water.

关键词： chlorine batch electrode

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Machine Learning Approach to Enhance the Performance of MNP?Labeled Lateral Flow Immunoassay

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Nano-Micro Letters 2019年第1期11卷 132-146页

作者： Wenqiang Yan Kan Wang Hao Xu Xuyang Huo qinghui jin Daxiang Cui Department of Instrument Science and Engineering School of Electronic Information and Electrical Engineering Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment InstrumentKey Laboratory of Thin Film and Microfabrication (Ministry of Education) Shanghai Jiao Tong University School of Naval Architecture Ocean and Civil Engineering Shanghai Jiao Tong University Department of Biomedical Engineering JiLin Medical University State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Faculty of Electrical Engineering and Computer Science Ningbo University

The use of magnetic nanoparticle(MNP)-labeled immunochromatography test strips(ICTSs) is very important for point-ofcare testing(POCT). However, common diagnostic methods cannot accurately analyze the weak magnetic signal from ICTSs, limiting the applications of POCT. In this study, an ultrasensitive multiplex biosensor was designed to overcome the limitations of capturing and normalization of the weak magnetic signal from MNPs on ICTSs. A machine learning model for sandwich assays was constructed and used to classify weakly positive and negative samples, which significantly enhanced the specificity and sensitivity. The potential clinical application was evaluated by detecting 50 human chorionic gonadotropin(HCG) samples and 59 myocardial infarction serum samples. The quantitative range for HCG was 1–1000 mIU mL^(-1) and the ideal detection limit was 0.014 mIU mL^(-1), which was well below the clinical threshold. Quantitative detection results of multiplex cardiac markers showed good linear correlations with standard values. The proposed multiplex assay can be readily adapted for identifying other biomolecules and also be used in other applications such as environmental monitoring, food analysis, and national security.

关键词： Point-of-care testing Immunochromatography test strips Magnetic nanoparticles Machine learning Support vector machine

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基于机器学习的蚀变火成岩测录井综合岩性识别——以南海北部珠江口盆地惠州26-6井区为例

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吉林大学学报（地球科学版） 2024年第1期54卷 345-358页

作者：管耀王清辉冯进杨清石磊中海石油(中国)有限公司深圳分公司广东深圳518054

岩性识别是储层测井评价的重要环节,储层发育程度和孔隙度等参数的评价精度很大程度上取决于岩性识别的准确率。然而南海北部珠江口盆地惠州26-6井区的火成岩岩性复杂,普遍存在的蚀变现象对常规测井数据产生了很大影响,令常规测井岩性... 详细信息

岩性识别是储层测井评价的重要环节,储层发育程度和孔隙度等参数的评价精度很大程度上取决于岩性识别的准确率。然而南海北部珠江口盆地惠州26-6井区的火成岩岩性复杂,普遍存在的蚀变现象对常规测井数据产生了很大影响,令常规测井岩性识别更加困难,识别精度难以满足勘探需求。为了提高蚀变火成岩地层的岩性识别准确率,本文结合常规测井和元素录井数据,建立了基于不同机器学习算法的岩性识别方法并进行对比分析,得到了适用于确定蚀变火成岩岩性的综合识别方法。首先利用岩心元素数据建立录井元素校正方法,得到可靠的元素录井数据,并以常规测井的采样间隔为标准对标准化元素录井数据进行线性插值;之后优选出与岩性相关性更高的常规测井和元素录井曲线,分别采用k近邻(KNN)和支持向量机(SVM)两种机器学习算法对研究区的构造片岩、闪长岩、蚀变辉绿岩、花岗闪长岩、花岗岩和蚀变花岗岩等6种火成岩进行岩性识别。在研究区内4口有岩石薄片鉴定资料井的目标层中,按照对应深度提取数据点(共145个),其中80%作为训练样本,其余20%作为测试样本。以样本测试精度和全井岩性识别效果作为评价指标,对两种算法进行对比,结果表明:KNN和SVM算法的识别准确率均为92.65%,但是KNN算法全井识别效果更符合地层岩性分布特征,说明基于KNN算法的测、录井综合岩性识别更适用于研究区。

关键词：蚀变火成岩支持向量机 k近邻元素录井综合岩性识别

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Chip-based visual detection of micro RNA using DNA-functionalized gold nanoparticles

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Science China(Life Sciences) 2016年第5期59卷 510-515页

作者： Ping Wang Jianlong Zhao Bin Hu Zule Cheng Yanan Bai qinghui jin Huiying Liu Hongju Mao Sanqiang Li Jianlong Zhao The Molecular Medicine Key Laboratory of Liver Injury and Repair Medical College Henan University of Science and Technology State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Clinical Research Center of Biological Sensing Technology Shanghai Xuhui Central Hospital University of Chinese Academy of Sciences Department of Oral and Maxillofacial School of Stomatology Dalian Medical University

In the present study, we developed a highly sensitive and convenient biosensor consisting of gold nanoparticle(Au NP) probes and a gene chip to detect micro RNAs(mi RNAs). Specific oligonucleotides were attached to the glass surface as capture probes for the target mi RNAs, which were then detected via hybridization to the Au NP probes. The signal was amplified via the reduction of HAu Cl4 by H2O2. The use of a single Au NP probe detected 10 pmol L?1 of target mi RNA. The recovery rate for mi R-126 from fetal bovine serum was 81.5%–109.1%. The biosensor detection of mi R-126 in total RNA extracted from lung cancer tissues was consistent with the quantitative PCR(q PCR) results. The use of two Au NP probes further improved the detection sensitivity such that even 1 fmol L?1 of target mi R-125a-5p was detectable. This assay takes less than 1 h to complete and the results can be observed by the naked eye. The platform simultaneously detected lung cancer related mi R-126 and mi R-125a-5p. Therefore, this low cost, rapid, and convenient technology could be used for ultrasensitive and robust visual mi RNA detection.

关键词： microRNA 金纳米粒子视觉检测芯片检测官能化 DNA miRNA 探针杂交

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Operation Optimal Control of Urban Rail Train Based on Multi-Objective Particle Swarm Optimization

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Computer Systems Science & Engineering 2022年第7期42卷 387-395页

作者： Liang jin qinghui Meng Shuang Liang Department of Mechanical and Electrical Henan Polytechnic InstituteNanyang Henan473000China University of Florence Firenze50041Italy

The energy consumption of train operation occupies a large proportion of the total consumption of railway transportation.In order to improve the oper-ating energy utilization rate of trains,a multi-objective particle swarm optimiza-tion(MPSO)algorithm with energy consumption,punctuality and parking accuracy as the objective and safety as the constraint is built.To accelerate its the convergence process,the train operation progression is divided into several modes according to the train speed-distance curve.A human-computer interactive particle swarm optimization algorithm is proposed,which presents the optimized results after a certain number of iterations to the decision maker,and the satisfac-tory outcomes can be obtained after a limited number of adjustments.The multi-objective particle swarm optimization(MPSO)algorithm is used to optimize the train operation process.An algorithm based on the important relationship between the objective and the preference information of the given reference points is sug-gested to overcome the shortcomings of the existing algorithms.These methods signiﬁcantly increase the computational complexity and convergence of the algo-rithm.An adaptive fuzzy logic system that can simultaneously utilize experience information andﬁeld data information is proposed to adjust the consequences of off-line optimization in real time,thereby eliminating the inﬂuence of uncertainty on train operation.After optimization and adjustment,the whole running time has been increased by 0.5 s,the energy consumption has been reduced by 12%,the parking accuracy has been increased by 8%,and the comprehensive performance has been enhanced.

关键词： Particle swarm optimization multi-objective urban rail train optimal control

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Model of a Composite Energy Storage System for Urban Rail Trains

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Computer Systems Science & Engineering 2022年第3期40卷 1145-1152页

作者： Liang jin qinghui Meng Shuang Liang Department of Mechanical and Electrical Henan Polytechnic InstituteNanyang473000China University of Florence Firenze50041Italy

Urban rail transit can solve the current inconvenient transportation problem for China’s large urban population.A compound onboard energy storage system can meet vehicles’traction requirements and recover energy in vehicles’braking stage to improve energy utilisation.However,the composite onboard energy storage system has several concerns,such as its power and energy demand,battery aging,and maintenance costs.Therefore,the NSGA-II algorithm is proposed to optimise matching the composite energy storage system parameters for urban rail trains.The NSGA-II algorithm was used with an improved elite retention strategy to optimise the parameters matching of the composite power supply.The optimisation’s objective concerns the replacement costs and economy of the composite power supply.The method increases the vertical diversity of searching and avoids genetic precocity.The NSGA-II algorithm calls the simulation model of composite power supply in real-time and simultaneously optimises the composite power supply and control parameters.The Pareto set of optimisation objectives and corresponding parameters and control strategies of composite power supply are obtained.The NSGA-II algorithm can optimise the composite energy storage system’s parameters and improve the train and the composite power supply’s performance indexes.The algorithm greatly reduces the composite power supply’s capacitance and reduces the system’s total energy consumption.Then,the multi-component energy loss caused by the multi-power source system can be effectively controlled.The total capacitance is reduced by 12.1%,the battery life is prolonged by 18.86%,and the optimised composite power supply’s energy storage is increased by 17.6%.

关键词： Manuscript preparation typeset format

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广西越州故城遗址玻璃珠饰的科学研究

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文物保护与考古科学 2024年第2期36卷 22-32页

作者：韦伟燕刘松李青会林强中山大学社会学与人类学学院广东广州510275 中国科学院上海光学精密机械研究所科技考古中心上海201800 中国科学院大学材料与光电研究中心北京100049 广西文物保护与考古研究所广西南宁530022

本研究利用能量色散型X射线荧光光谱分析、共聚焦激光拉曼光谱分析、光学相干层析成像、超景深光学显微观测等多种方法对广西越州故城遗址出土的印度-太平洋玻璃珠饰进行科技分析,获取了玻璃珠的化学成分、物相结构、内部物理结构、表... 详细信息

本研究利用能量色散型X射线荧光光谱分析、共聚焦激光拉曼光谱分析、光学相干层析成像、超景深光学显微观测等多种方法对广西越州故城遗址出土的印度-太平洋玻璃珠饰进行科技分析,获取了玻璃珠的化学成分、物相结构、内部物理结构、表面显微形貌等综合物理化学信息,确定了玻璃珠的玻璃体系、制作工艺(着色工艺、成形工艺)和产地来源,探讨了以丝绸之路为主线的国内发现魏晋南北朝时期印度-太平洋玻璃珠可能的输入路线。广西越州故城遗址发现的印度-太平洋玻璃珠为中外文明交流提供了新实物证据,对深入研究我国南北朝时期中外文明交流具有十分重要的学术价值和研究意义。

关键词：印度-太平洋玻璃珠越州故城遗址魏晋南北朝科技分析丝路交流

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A Novel Magnetic Bead-based Biosensor Using Flip Chip Bonding Techniques

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稀有金属材料与工程 2006年第A3期35卷 421-424页

作者： Bin Wang Xiang Chen qinghui jin Jianlong Zhao Yuansen Xu Shanghai Institute of Mierosystem and Information Technology CAS Shanghai 200050 China

Based on flip-chip packaging,a novel approach towards integrated magnetic bio-separator was designed.The magnetic field and the force on the bead were simulated and analyzed,leading to the optimization of the fabrication parameters of the micro-magnetic unit.The planar coil as an electromagnet was fabricated through electroplating on a single seed layer. The PDMS microfluidic channel was bonded on the inverse side after Si etching.The results presented in this paper provide a novel design and fabrication to approach a microfluidic bio-separation system with magnetic beads.

关键词： flip-chip magnetic planar coil PDMS

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Synthesis of yttrium iron garnet/bismuth quantum dot heterostructures with localized plasmon enhanced magneto-optical performance

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Journal of Materials Science & Technology 2020年第16期47卷 32-39页

作者： Lichuan jin Caiyun Hong Dainan Zhang Peng Gao Yiheng Rao Gang Wang qinghui Yang Zhiyong Zhong Huaiwu Zhang State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of ChinaChengdu610054China School of Science Westlake UniversityHangzhou310024China Electron Microscopy Laboratory and International Center for Quantum MaterialsSchool of PhysicsPeking UniversityBeijing100871China Collaborative Innovation Centre of Quantum Matter Beijing100871China

Interactions between light and magnetic matter attracted great attention lately due to their potential applications in nanophotonics,spintronics,and high-accuracy sensing.Here,we grew bismuth quantum dots(Bi–QDs)with strong spin–orbit coupling on a magnetic insulator yttrium iron garnet(YIG)via molecular beam epitaxy.The YIG/Bi–QDs material shows an enhanced magneto-optical Kerr rotation up to 130%compared with that of a bare YIG film.The Bi–QDs were also introduced onto a lutetium–bismuth co-doped YIG film to form a hybrid system with remarkably enhanced Kerr rotation(from 1626 to 2341 mdeg).Ferromagnetic resonance measurements showed an increased effective magnetization as well as interfacial spin–orbit field in the YIG/Bi–QD heterostructures.Localized plasmons were mapped using electron energy loss spectroscopy with high spatial resolution,revealing enhanced plasmon intensity at both the Bi–QD surface and YIG/Bi–QD interface.Introducing Bi-QDs onto the YIG film enhanced Kerr rotation owing to the attenuated optical reflection and increased effective magnetization.The Bi–QDenhanced magneto-optical effect enables development of efficient nanoscale light switching,spintronics,and even plasmonic nano-antennas.

关键词： Electron energy loss spectroscopy Surface plasmon resonance Magneto-optical materials Bismuth quantum dot Ferromagnetic resonance

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基于DEM-MBD耦合的铲板式滚动触土部件作业机理分析与试验

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农业工程学报 2022年第15期38卷 10-20页

作者：张智泓赵亮亮赖庆辉佟金昆明理工大学现代农业工程学院昆明650500 吉林大学生物与农业工程学院长春130022 吉林大学仿生教育部重点实验室长春130022

为探索土壤微形貌加工过程中从动型铲板式触土部件与土壤的互作机理,该研究基于离散元法(Discrete Element Method,DEM)与多体动力学(Multi-Body Dynamics,MBD)耦合算法建立铲板式滚动触土部件与土壤互作的离散元模型。通过EDEM-RecurDy... 详细信息

为探索土壤微形貌加工过程中从动型铲板式触土部件与土壤的互作机理,该研究基于离散元法(Discrete Element Method,DEM)与多体动力学(Multi-Body Dynamics,MBD)耦合算法建立铲板式滚动触土部件与土壤互作的离散元模型。通过EDEM-RecurDyn联合仿真探索滚动部件作业机理,以机具作业速度(0.6、1.0和1.4 m/s)为影响因素,求解机具作业所需水平牵引力与土壤微坑容积,并通过开展台架试验评价仿真模型准确性。耦合仿真结果表明:随机具作业速度的上升,x向水平牵引力和z向垂直力不断变大;机具在不同速度作业下的土壤表面形成的微坑容积分别为3310.91、3325.96和3384.47 mL;根据土壤压缩力、颗粒流向及动能变化,阐释了铲板式滚动触土部件作业过程中土壤微形貌的形成机理。将台架试验与仿真求解结果进行对比,x方向水平牵引力相对误差分别为5.02%、4.59%、4.11%,土壤表面微坑容积误差分别为6.23%、7.09%、5.64%,各作业速度下仿真模型具有较好的准确性。该研究所构建的DEM-MBD耦合模型可为探明铲板式滚动触土部件与土壤互作机理、机具几何结构优化、以及作业参数选择提供理论依据和技术参考。

关键词：土壤离散元多体动力学土壤微形貌互作机理

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