HPLC测定复方莪术颗粒Ⅰ中姜黄素的含量

复议莪术颗粒是由莪术、茯苓、半夏等组成，临床应用于治疗子宫肌瘤，效果显著。方中莪术为君药，主含姜黄素。文献报道的测定方法有高效液相色谱法、薄层扫描法、反相高效液相色谱法等。     

HPLC测定复方莪术颗粒I中姜黄素的含量

复方莪术颗粒是由莪术、茯苓、半夏等组成,临床应用于治疗子宫肌瘤,效果显著。方中莪术为君药,主含姜黄素。文献报道的测定方法有高效液相色谱法、薄层扫描法、反相高效液相色谱法等。其中高效液相色谱法所使用的流动相多是乙腈或甲醇—醋酸水系统,本实验采用高效液相色谱法并首次使用乙腈—磷酸水系统作为流动相,结果准确,重现性、精密度良好。本实验研究为建立复方莪术颗粒I的质量控制方法奠定了基础。仪器与试药实验所用仪器为岛津2010高效液相色谱仪,CLASS-VP工作站。试药姜黄素对照品(批号823-9401),购自中国药品生物制品检定所。…     

温莪术油中新莪术二酮的分离分析及稳定性研究

对温莪术油中新莪术二酮的分离分析及稳定性进行研究.采用柱色谱、制备薄层、溶剂重结晶法等分离提取,经1H NMR、13C NMR、MS等波谱技术鉴定结构,并初步考察了新莪术二酮的稳定性.结果表明新莪术二酮在加热条件下不稳定,在Lewis acid催化下可异构化为莪术醇.新莪术二酮为含氧倍半烯萜类化合物,属于热敏性物质.本研究为温莪术油质量控制提供了有效数据.     

姜黄中姜黄素的提取分离及药用价值研究

姜黄素是姜黄(Curcuma longa L.)中的主要活性成分,在抗肿瘤、抗氧化、抗纤维化、抗炎、心肌保护等多方面具有显著疗效.但其化学性质不稳定,水溶性差,生物利用度低.通过综述姜黄素提取分离、药理作用及应用新进展,以期为今后姜黄素的开发利用提供科学依据.     

莪术油药学研究进展

莪术油是一种具有发展前景的抗肿瘤、抗病毒药物.现将莪术油已取得的研究成果进行整理,为莪术油的进一步深入研究和开发提供参考.根据文献报道,主要从莪术油的提取方法、化学成分、质量控制、药理研究等方面对其进行概述.     

姜黄素药理学研究进展

姜黄素是一种天然酚类抗氧化剂，有广泛的药理作用，如：抗炎、抗肿瘤、抗脂质过氧化及护肝等。本文对姜黄素及其衍生物制剂的质量控制（包括药物的稳定性、药物的提取、制剂的研究）进行了概述，并介绍了姜黄素在治疗肝脏、心脏、肿瘤等疾病中的研究及应用。     

基于化学成分临床利用量的郁金质量评价研究

目的:通过姜黄素的临床利用量对郁金的品质进行评价研究.方法:采用单因素实验法考察郁金药材中姜黄素含量的测定方法,设计正交实验优选郁金中姜黄素的最佳提取工艺,根据最佳提取工艺采用HPLC法测定多批不同产地郁金中姜黄素的含量,从而计算其临床利用量对药材进行质量评价.结果:姜黄素含量测定供试品制备方法为取细粉2 g,加入20 m L甲醇,超声提取30 min;郁金姜黄素最佳提取工艺为药材加10倍量的60%乙醇提取3次,每次2 h.姜黄素的临床利用量与药材的真实含量呈正相关.结论:本研究建立的方法重视临床效果,体现了中医药特色,为郁金及其他中药材质量评价研究提供了一种新的思路.     

HPLC法测定清血脂Ⅰ号胶囊中含姜黄素的量

为建立测定清血脂Ⅰ号胶囊中姜黄素含量的方法,采用高效液相色谱法,以胶囊中主要有效成分姜黄素为控制指标,进行含量测定方法学考察.采用药典推荐方法,可以快速地进行质量控制检查,该方法重复好,简便易行.可作为清血脂Ⅰ号胶囊药材的质量控制方法.     

姜黄素缓释胶束的制备、表征及其抗细胞毒类药物的多药耐药性评价

姜黄素为传统中药姜黄中提取的多酚类化合物,具有多靶点的抗肿瘤活性及确切的抗炎和抗氧化等作用。但姜黄素几乎不溶于水,口服不吸收,且存在严重的肝首过效应,因此系统生物利用度很低,难以充分发挥其抗肿瘤活性。合成了叔丁氧羰基苯丙氨酸封端的甲氧基聚乙二醇-聚己内酯嵌段共聚物,并采用固体分散工艺制备了可注射给药的姜黄素共聚物胶束,结果表明:胶束在体内具有良好的稳定性和缓释效果,能显著减缓姜黄素在体内的代谢速度,从而提高生物利用度;该胶束和阿霉素联用不仅能提高药效,还能有效降低阿霉素的毒性,具有良好的临床应用前景。     

蓬莪术挥发油提取技术的研究及其化学成分分析

采用超临界CO2流体萃取，索氏提取，水蒸汽蒸馏3种提取技术提取蓬莪术挥发油，并用GC－MS联用仪分析其化学成分，实验结果表明：超临界CO2流体萃取法在挥发油得率，有效抗肿瘤组分，工艺流程，有机溶剂残留，挥发油外观及香气等诸多方面均明显优于索氏提取法和水蒸汽蒸馏法，有较高的工业应用价值。     

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.     

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).     

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.     

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.