甘草多糖的化学与药理研究

综述了甘草多糖的提取方法、化学组分、药理作用等方面的研究进展.现代提取方法较传统方法简便快捷,甘草多糖产量高,且不会影响多糖的结构和活性.研究表明,甘草多糖主要由鼠李糖、葡聚糖、阿拉伯糖和半乳糖组成,但其主链结构的研究结论不尽相同.药理研究发现,甘草多糖具有免疫调节、抗肿瘤、抗病毒等作用,而且无细胞毒作用.     

库拉索芦荟和木立芦荟叶的形态结构及有效成分含量的比较

应用植物解剖学和植物化学相结合的方法比较研究了3年生库拉索芦荟(Aloe vera L.)和木立芦荟(Aloe arborescens Mill)的形态结构和芦荟素、芦荟多糖等有效成分的含量.研究结果表明:(1)库拉索芦荟茎极短,叶丛生,成熟叶片长60~80 cm,质量400~550 g;木立芦荟茎高50~70 cm,叶互生,成熟叶片长40~50 cm,质量100~150 g.(2)两种芦荟叶都由表皮、同化组织、贮水组织和维管束组成.库拉索芦荟叶的贮水组织占横切面的90%以上,而木立芦荟叶的贮水组织仅占横切面的70%.(3)库拉索芦荟叶中芦荟素含量为1.46%,芦荟多糖含量为3.56%,宜作为芦荟多糖的原料;木立芦荟叶中芦荟素含量为2.15%,芦荟多糖含量为2.58%,宜作为芦荟素等蒽醌类物质的原料.研究结果为芦荟的引种栽培、采收和产品加工提供了科学依据.     

灵芝多糖的研究概况

灵芝属真菌具有很高的药用价值从而得到广泛的研究与应用,而多糖类化合物是灵芝属真菌的主要化学成分之一,因此对多糖类化合物的深入研究将有利于进一步研究灵芝属真菌的药理活性及其应用.综述了国内外近年来对灵芝多糖的化学结构、多糖的组成、部分多糖的分子量、药理作用及其结构与药理之间的关系等研究的近况,拟对其灵芝资源的深入开发起到促进作用.     

北虫草多糖提取及其抗氧化、抗衰老作用研究进展

北虫草是中国的传统医药,常以干燥的子实体入药,是药用价值较高的虫草菌属之一,具有药理性强、药效范围广的优点.北虫草多糖作为其主要的活性成分,具有抗氧化、抗衰老、抗肿瘤、抗炎、免疫调节等多种药理作用.为提高北虫草多糖的提取率,研究多糖的药理作用,对北虫草多糖的提取工艺及其抗氧化、抗衰老作用的相关研究进行综述.     

芦荟多糖对荷瘤小鼠肿瘤细胞膜功能的影响

研究芦荟多糖对荷瘤小鼠肿瘤细胞膜功能的影响.采用荧光分光光度法、SDS-聚丙烯酰胺凝胶电泳以及唾液酸试剂盒分别测定库拉索和木立2种芦荟多糖对S180小鼠肿瘤细胞膜脂流动性、膜蛋白及唾液酸含量的影响.结果表明,2种芦荟多糖各剂量组均能不同程度地降低S180小鼠肿瘤细胞膜脂流动性、膜交联蛋白百分比含量和唾液酸的含量,且两种多糖中、高剂量组具有显著性(P<0 05或P<0 01).提示,芦荟多糖对S180小鼠肿瘤细胞膜功能具有抑制作用,提示其可能为芦荟多糖发挥抗肿瘤作用的主要机制之一.     

芦荟多糖对S180小鼠免疫调节因子活性的影响

研究库拉索芦荟多糖对S180小鼠红细胞免疫调节因子活性的影响．采用郭峰法测定．库拉索芦荟多糖可显著提高S180小鼠红细胞G3b受体花环促进率,降低其抑制率,因而从红细胞免疫角度,来揭示芦荟多糖具有抗肿瘤及提高机体免疫的功能．     

芦荟中多糖含量的测定

芦荟是一种含有较为丰富的营养物质的天然植物,其生物活性成份复杂多样,主要含有多糖、氨基酸、有机酸、维生素等多种营养成分近年来,人们发现多糖具有抗感染、抗癌、增强免疫力及保健、美容、药用等功效[1,2],因此芦荟多糖的研究也是近年研究热点之一,在多糖的分离、纯化、组分测定和结构分析等技术上取得进展[3,4].本文报道用分光光度法测定芦荟中多糖含量的方法.     

芦荟多糖的保健功能研究进展

芦荟是百合科芦荟属肉质草本植物，在全世界范围内，大约有360多种的不同品种的芦荟分布在北美、亚洲、欧洲和非洲的干旱地区，本文综述了芦荟多糖的免疫调节、抗肿瘤、保肝护肝、抗辐射、抗溃疡、抗氧化、抗衰老和降血糖等多种保健功能及相关研究进展。     

植物多糖研究进展

多糖是一类重要的生物活性物质和低毒物质,所以研制与开发十分活跃.多糖除了作为免疫调节剂增强免疫功能外,还具有抗肿瘤、抗病毒、抗突变、抗衰老、抗凝血、降血糖和环境治理等生物学效应.但由于其结构复杂,质量标准不易控制,研究手段局限,国内外科研工作者也仅对分离纯化、化学组成、生物活性、构效关系等关系方面做了有限的研究.     

三峡库区美国库拉索芦荟中芦荟苷和芦荟多糖含量测定

文章在分析三峡库区美国库拉索芦荟中芦荟苷和芦荟多糖含量的基础上,采用高效液相色谱和紫外分光光度法分别测定芦荟中芦荟苷、芦荟多糖、乙酰化多糖的含量,通过对三峡库区种植美国库拉索芦荟与云南元江相比,指出芦荟中芦荟苷、芦荟多糖和乙酰化多糖的含量并无差异,三峡库区适宜种植美国库拉索芦荟.     

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.