Parallel cleaning of a network with brushes

We consider the process of cleaning a network where at each time step, all vertices that have at least as many brushes as incident, contaminated edges, send brushes down these edges and remove them from the network. An added condition is that, because of the contamination model used, the final configuration must be the initial configuration of another cleaning of the network. We find the minimum number of brushes required for trees, cycles, complete bipartite networks; and for all networks when all edges must be cleaned on each step. Finally, we give bounds on the number of brushes required for complete networks.     

微芯片毛细管电泳电化学检测方法及应用

阐述了微芯片毛细管电泳电化学检测(包括安培法、电导法、电化学发光法和联用电化学法)的研究进展；对各种电化学检测的原理和应用进行了较详细的叙述；着重讨论了不同材料检测电极在安培检测中的应用；接触式电导和非接触式电导的应用情况；展望了微芯片毛细管电泳电化学检测的前景。引用文献87篇。     

微流控分析系统中的自动控制和数据分析

介绍了自动控制及数据分析方法在微流控分析系统中的应用技巧及可行方案.以芯片电泳系统为例,具体介绍电子技术应用于微流控检测仪器搭建及检测数据处理,同时,拓展说明了未来信息技术在微流控分析系统中可能的应用领域.     

基于SystemC的周期精确事务级AMBA总线建模

采用系统建模语言SystemC建立了周期精确的事务级AMBA总线模型，并利用该模型对蓝牙模块问的通信过程进行仿真．AMBA总线模型采用SystemC2．0的接口、端口和通道的概念，运行时使用SystemC自带的仿真内核．实验结果表明：本模型完全符合AMBA2．0规范和蓝牙协议规范，实现了住SoC设计前期的高层仿真和验证。     

单片机控制的速度发送装置的应用研究

本文介绍了一种由ＭＣＳ—５１单片机控制的速度发送装置，阐述了该速度发送装置的作用，探讨了其硬件设计特点和软件设计所依据的基本原理。最后，通过实际分析，给出程序流程图。     

旋转对流下铜在微沟道中的电沉积

将刻有微沟道的芯片固定在旋转圆盘电极上,在旋转对流条件下于微沟道中电沉积铜.微沟道深度为1μm,宽度分别为0.35μm,0.50μm,0.70μm.研究了芯片的旋转、电流密度以及Cu2+浓度等对微沟道中铜沉积的影响.实验表明,在旋转对流传质下,铜在微沟道中的沉积速率比静止芯片时的约快2～3倍.较低的Cu2+浓度和适中的沉积电流密度更有利于超等厚沉积的形成.     

微流控芯片的研制及其相关仪器的集成化研究

报道了微流控芯片的制作方法、芯片材料的选择以及研究过程中的一些实验方法,侧重介绍芯片毛细管电泳分离与检测的基本原理和应用研究的进展,总结了近年来作者的研究成果和最新研制成功的微流控芯片仪器.     

芯片式流通池顺序注射化学发光法测定水中的亚硝酸根

微流控芯片(Microfluidic chips)是微全分析系统(μTAS)研究中最为活跃的领域,在仪器微型化方面展现出很多的优点^[1].化学发光由于其自身的特性在微芯片检测中应用逐渐增多^[2,3].     

聚二甲基硅氧烷基质微流控芯片封接技术的研究

考察了聚二甲基硅氧烷(Polydimethylsiloxane,PDMS)预聚体与固化剂间的配比、固化温度及固化时间对PDMS芯片封接强度的影响,得出PDMS芯片封接的最佳条件基片和盖片所用PDMS预聚体与固化剂质量配比分别为10∶1与5∶1,固化温度为75℃,固化时间分别为35～50min和25～40min,封接后继续加热60min.在该条件下封接制作的微芯片历经半年50多次的分析、冲洗及抽液后未见明显损坏,足以满足一般分析任务的要求,并将芯片成功用于两种氨基酸的快速毛细管电泳分离.     

Chemometrics on Microchips: Towards the Classification of Wines

The coupling of a capillary electrophoresis (CE) microchip with electrochemical detection with a chemometric approach was used for the classification of wines. Cabernet Sauvignon wine samples from 3 different geographical regions were used for verifying the discriminating power of the microchip electrophoretic technique using high separation voltage (3000 V) with analysis time of only 60 seconds. Electrophoretic data were transformed into initial 14 variables, concerning peak's area and peak's height. Principal component analysis was applied to optimize the information given by the electrophoretic data sets. Results of classification using LDA and CART were promising and the preliminary model was able to classify samples on the basis of their geographical origin. While the coupling of microchips with chemometrics approaches is illustrated for a former tentative of the classification of wines it could be readily extended to a wide range of other important applications.