光激发表面等离子体波反射系数在复平面的轨迹

为了更好的理解相位型、偏振型及调制型表面等离子体波共振(SPR)传感器的工作原理和性能,采用光的电磁理论对光激发表面等离子体波时光的反射系数rp在复平面的轨迹进行了分析与研究。研究表明rp在复平面的轨迹近似在一个圆周上,从这个轨迹圆不仅可以得到反射系数的模rp和辐角φp的特性,而且可以得到rp.(φp/α)近似为一个常数的特性。这些特性非常直观地表示了相位型、偏振型及调制型SPR传感器的原理与性能,有利于SPR传感器的研究。     

表面等离子体共振传感器

本书是《斯普林格化学传感器和生物传感器》系列专著中的一部。表面等离子体共振（SPR）传感器是一种通过对表面等离子波的共振角测量计算样品折射率（浓度）的传感器,是实现微量生物和化学活性物质定量测定的重要技术之一。     

多层聚合物膜系高灵敏度表面等离子体共振传感理论研究

基于光学Kretschmann棱镜结构,建立了表面等离子体共振(SPR)传感器模型并进行了模拟计算,得到了基于聚乙烯和聚丙烯酸的多层膜系的SPR传感器共振光谱中共振波长随共振角度的演化.模拟分析表明,聚合物的厚度增加导致共振峰的红移,最佳厚度为100nm左右;聚合物薄膜可实现SPR共振峰的可控的红移和传感检测,聚乙烯相对于聚丙烯酸有较高分辨率;金纳米颗粒具有增强表面等离子体共振信号的作用,共振波长因其填充因子的增大而发生红移现象,半峰宽明显变宽,填充因子最佳值为0.2.     

SPR角谱测量仪的原理与设计

介绍了表面等离子体共振(SPR)测试原理,结合扫描方式角谱测试和CCD角谱测试方法,设计了一种高分辨率、宽范围便携式的SPR角谱测试系统,讨论了提高测试精度的方法。     

棱镜表面等离子体共振传感器理论仿真研究

以薄膜光学理论为基础,利用Winspall软件模拟研究Kretschman结构下,三棱镜类型以及待测介质折射率对表面等离子体共振反射谱性质的影响,得出了影响激发SPR现象的棱镜折射率和待测物质折射率随反射谱的变化规律,为表面等离子体共振传感器的优化提供了理论指导。     

光纤表面等离子体波传感器的理论研究

利用光纤表面等离子体共振(SPR)技术设计了光纤表面等离子体波传感器．该传感器与传统棱镜SPR传感器相比有很多优点．由于引入了光纤结构,SPR传感器的计算变得相当复杂．此前,由于不能准确计算,其设计主要依赖于经验,从而严重影响了所设计的传感器的性能．根据光纤SPR传感器的特点,在一定条件下把斜线作为子午线来处理,推导了光纤SPR传感器中总反射系数的计算公式,实现了对光纤SPR传感器的理论计算过程,同时与实验结果进行了对比,结果表明理论计算结果与实验相吻合,从而为系统地分析光纤SPR传感器的性能提供了一个有效的手段,并且为实际设计光纤SPR传感器提供了理论依据．     

基于变曝光时间图像采集法提高SPR相位成像检测灵敏度

提高表面等离子体共振（SPR）阵列检测的灵敏度是蛋白质组学和药物发现与开发的迫切需要。提出了一种基于五步移相时域调制相位干涉成像的变曝光时间图像采集法,通过增大信号幅值来提高光强测量信噪比。在一个相位测量周期的5帧图像中,每帧图像都采用不同的曝光时间,使得每帧图像的灰度值达到最大,从而提高光强测量的信噪比,保证相位成像...     

基于SPR角度调制技术的溶液折射率检测系统

为了实现溶液浓度的实时监测,设计了基于表面等离子体共振(SPR)原理的溶液折射率传感器及其应用系统.采用Kretschmann棱镜耦合模型,用角度调制的方法对此传感器进行定标和测量,将折射率的变化与共振角的改变对应起来,经过光电转换,用计算机采集数据,实现溶液折射率的实时检测.实验结果表明:在其他光学参数固定的情况下,一个固定的折射率对应一个最佳的共振角度和共振波长,折射率与最佳共振角度成线性关系U=-1.206d-8.140.实验数据显示,灵敏度可达0.208 V/(0.001n)(n为折射率).该系统成本低,测量精度高,有推广应用价值.     

表面等离子共振检测葡萄糖浓度的数据处理方法

根据表面等离子共振(SPR)检测葡萄糖浓度时信号和噪声的特点,研究了寻找曲线最低点算法和基线动态调整方法等SPR数据后处理方法.采用加权质心法精确地捕获到了表面等离子共振曲线的最低点,采用固定计算点数的动态基线法调整基线位置,消除了基线附近点值的波动对测量结果的影响.模拟仿真及实验验证结果表明,采用固定点数的动态基线法和加权质心法处理SPR数据,能显著提高SPR检测葡萄糖的分辨率,在葡萄糖浓度检测技术中有很好的应用前景.     

表面等离子体共振及其在传感技术中的应用

从金属等离子体振荡概念,表面等离子体波及其特征,表面等离子体共振的光激发—衰减全反射三方面浅析了SPR技术的物理机制及激励方法;并探讨了SPR传感器的技术应用.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.