超滤法结合大孔吸附树脂法制备复方双中药注射液

超滤法初步提取双中药银杏叶和绞股蓝中抗心脑血管疾病有效成分,利用AB-8大孔吸附树脂对初提物中银杏黄酮、绞股蓝黄酮、绞股蓝皂苷等进行进一步纯化,制备出复方银杏绞股蓝双中药盐酸曲美他嗪注射液.同时,进行了双中药注射液稳定性研究.研究结果表明,在超声振荡的条件下,超滤法提取抗心脑血管疾病有效成分正交实验的最佳条件为:乙醇体积浓度80%,固液比1∶20,超声时间10 min.AB-8大孔吸附树脂纯化的最佳条件为:上样液浓度总黄酮为1.252 3 mg/mL~2.504 7mg/mL,总皂苷为0.429 4 mg/mL~1.288 3 mg/mL,洗脱剂为体积浓度为70%的乙醇.纯化后产物中总黄酮、总皂苷的平均质量分数分别为37.35%、12.75%,黄酮与皂苷的比值为2.93.注射剂稳定性考察结果显示在30 d内-10℃、25℃条件下有效成分的含量变化在5%以内.     

不同地区绞股蓝总皂苷的分析及纯化

采用紫外-可见分光光度法测定产自福建、湖北、广西、云南、浙江和陕西6种不同产地绞股蓝总皂苷的含量,并通过高效液相色谱法(HPLC)比较这6种绞股蓝总皂苷组成成分的差异性.结果表明:产自湖北的绞股蓝总皂苷的含量最高,达到了11.46％,而福建绞股蓝则为9.10％.HPLC图谱结果表明产自陕西、浙江和广西地区的绞股蓝中的总皂苷成分比福建、云南和湖北地区的复杂.通过静态吸附、动态洗脱研究和比较了D101、HP-20、DM130及AB-8等4种大孔吸附树脂对绞股蓝总皂苷的富集纯化性能,发现DM130在饱和吸附和不饱和吸附两种状态条件下均对绞股蓝总皂苷的富集纯化效果最佳.以乙醇作为洗脱剂,对于动态洗脱方法最佳的乙醇体积分数为70％,对绞股蓝总皂苷的洗脱效果最好.     

茯砖茶中茶多酚的提取工艺研究

为了提高茯砖茶中茶多酚的提取率,本实验以茯砖茶为原料,选用超声波辅助水浴浸提法,通过控制溶剂浓度、提取时间、提取温度及超声波功率等因素,设计一种高效率、低损耗的提取方法来提取茯砖茶中的茶多酚类物质﹒通过单因素实验确定了茶多酚的最佳提取条件:在乙醇浓度为55%,温度为80℃,浸提时间为60 min,超声波功率为300 W的酸性条件下浸提所得到的茶多酚提取率最大﹒     

杨梅渣红色素的超声提取和微胶囊化工艺研究

研究了杨梅渣红色素的超声提取和微胶囊化工艺．通过正交实验确定了杨梅渣红色素超声提取的最佳工艺条件：料液比为1：12g·mL^-1,pH=1,提取时间为40min,超声波功率为400W．通过单因素实验确定了杨梅渣红色素微胶囊化的工艺条件：壁材阿拉伯胶与麦芽糊精的比例为1：3,芯壁比为1：14,乳化剂蔗糖脂肪酸酯的含量为0．6％,黏稠剂普鲁兰多糖的含量为0．5％．稳定性实验表明杨梅渣红色素经微胶囊化后耐热、耐酸、耐光性显著提高．     

响应面优化华腺萼木总黄酮和总多糖的超声波辅助提取工艺

为进一步开发天然甜茶资源，以华腺萼木Mycetia sinensis茎叶为原料，超声波辅助水提法提取其中的总黄酮和总多糖，在单因素试验的基础上用响应面优化华腺萼木总黄酮和总多糖的提取工艺。结果发现，对华腺萼木总黄酮提取影响最大的是乙醇浓度，影响最小的是提取时间；对总多糖提取影响最大的是提取时间，影响最小的是提取温度。最终确定华腺萼木总黄酮提取的最佳工艺为超声波功率300 W，料液比1：95，乙醇浓度75%，提取时间50 min，此工艺条件下总黄酮得率为2.36%；总多糖的最佳提取工艺为提取时间180 min，超声波功率250 W，提取温度80℃，此工艺条件下总多糖得率为82.77%。本研究采用响应面法对华腺萼木总黄酮和总多糖提取条件进行了优化，可以为华腺萼木今后的资源开发提供依据。     

微波辅助提取姜黄中姜黄素的研究

通过单N素实验和正交实验相结合的方法对微波辅助正丁醇、正丙醇两种混合溶剂提取姜黄中姜黄素的工艺条件进行了研究．以姜黄素的提取率及溶剂的回收率为考察指标，确定了正丁醇与正丙醇最佳体积比为4：6；并通过正交实验筛选出微波辅助混合溶剂提取姜黄素的最佳工艺条件为：溶剂用量为1：35，提取温度为50℃，提取时间为30min，提取功率为200W．在此条件下姜黄素含量达到4．10％．     

海南番木瓜总皂苷的提取工艺研究

研究了海南番木瓜总皂苷的提取工艺．以齐墩果酸为对照品，采用紫外分光光度法在545nm处测定海南番木瓜总皂苷的含量，通过单因素试验和正交试验确定最佳提取工艺．结果表明：用75％的乙醇，pH=7，温度为70℃，提取时间为120min，海南番木瓜总皂苷的提取率最高，为2．66％．     

野生山葡萄多酚类物质提取实验研究

目的：研究野生山葡萄总多酚的浸提条件．方法：选择提取剂、提取剂浓度、提取时间、温度、料液比以及提取次数6种因素进行梯度实验。确定最佳提取条件．结果与结论：提取溶剂为甲醇、浓度为60％～80％，提取时间为2～4h，常温提取，2次提取料液比为l：20为宜，3次提取料液比l：5最佳．     

响应面法优化太子参皂苷的超声提取工艺

研究超声提取太子参皂苷的最佳工艺条件.采用Box-Behnken design （BBD）实验设计方案,结合响应面法优化提取条件,并考察超声时间、超声功率等主要影响因素,采用紫外分光光度法测定太子参皂苷的含量.经过响应面法优化后获得的超声提取太子参皂苷的最佳工艺条件为：超声处理时间为38 min,液料比为16：1 ml/g,超声波功率为280w,优化后太子参皂苷的最大提取率为0.807％.超声提取太子参皂苷的工艺具有收率高、简单快速、能耗低等优点.     

超声波辅助提取桔梗皂苷方法的研究

采用桔梗为原料,以桔梗皂苷的提取率为指标,对超声波辅助提取桔梗皂苷的方法进行研究.以乙醇为主要提取溶剂,应用正交设计优选桔梗皂苷的提取方法,选择乙醇体积分数、料液比、超声温度和超声时间为影响因素,确定了超声波辅助提取桔梗皂苷的最佳条件为:乙醇体积分数90%、料液比1∶11(g/mL)、超声温度45℃、超声时间30 min.桔梗皂苷的提取率为4.255%,通过泡沫实验和颜色反应实验确定提取物质为桔梗皂苷.     

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).     

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.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.