大枣总黄酮的提取及百分含量测定

探讨大枣总黄酮的最佳提取工艺条件.选定乙醇体积分数、料液比、提取时间及提取温度4个因素,进行单因素考察和正交试验,再根据芦丁标准曲线,测定大枣中总黄酮百分含量,研究4个因素对总黄酮的影响,最终确定最佳工艺条件.大枣总黄酮的最佳提取工艺条件为乙醇体积分数70%、料液比1∶10、提取时间3 h、提取温度80℃,在此条件下,大枣总黄酮百分含量为0.875 5%.回流提取法提取总黄酮简便、快速、节省溶剂,且有较高的得率.     

莲心中总黄酮的提取工艺优化研究

以莲心为原料,以总黄酮得率和提取物得率为指标,考察提取温度、乙醇体积分数、提取时间和料液比4个主要因素,通过单因素和正交试验,研究莲心中总黄酮的最佳提取工艺。研究结果表明,莲心中总黄酮的最佳提取工艺为:乙醇体积分数70%,提取温度90℃,料液比1∶30,提取时间2.5h;在此工艺条件下,总黄酮得率1.669%,提取物得率30.748%。     

高粱黄酮的提取及其测定方法的建立

选用乙醇作为提取溶剂,对高粱中总黄酮进行提取,研究乙醇浓度、浸提温度、浸提时间、料液比对高粱黄酮提取率的影响.并通过单因素及正交试验,确定了高粱黄酮的最佳提取工艺:乙醇浓度为65%,80℃下浸提2 h,料液比为6∶100.此工艺下提取的高粱黄酮含量为0.54%.     

枸杞总黄酮提取工艺优化及不同年份枸杞总黄酮含量测定

为探究枸杞贮藏过程中总黄酮含量变化规律,以枸杞总黄酮提取率为指标,采用单因素实验研究浸提温度、乙醇体积分数、料液比和提取时间4因素对枸杞总黄酮提取率的影响,设计正交试验优化提取工艺,并在优化条件下研究不同年份枸杞总黄酮含量及理化指标间的差异.结果发现,最佳提取工艺参数即浸提温度70℃、乙醇体积分数80%、料液比1∶15 g/mL、提取时间2.5 h、提取次数为2次.在此条件下,发现枸杞总黄酮含量随贮藏时间延长而呈现下降的变化趋势,这为枸杞总黄酮的开发利用和快速鉴别枸杞新陈提供理论依据.     

菟丝子总黄酮提取工艺的研究

优选水浴振荡提取方法,以菟丝子总黄酮质量分数为考察指标,研究提取溶剂浓度、提取温度、固液比、提取时间、提取次数等因素对总黄酮质量分数的影响.通过正交试验,确定菟丝子总黄酮提取的最佳工艺条件为:提取温度60℃,固液比1∶14,乙醇体积分数55%,提取时间2h,提取次数2次.     

超声法提取萹蓄总黄酮的正交试验研究

采用正交试验法优化篇蓄总黄酮的超声波提取工艺,系统考察了乙醇体积分数、料液比、超声温度、超声时间对总黄酮提取量的影响.篇蓄总黄酮的最佳提取工艺如下:料液比为1∶25,超声温度为45℃,超声萃取时间为25 min,乙醇体积分数为90％.此条件下总黄酮得率为12.012 mg/g.     

超声波辅助提取枇杷叶中黄酮类化合物的工艺研究

研究了超声波辅助乙醇浸提法从枇杷叶中提取总黄酮的工艺.通过单因素试验确定了影响总黄酮的主要因素及较优水平.用正交设计试验优化提取工艺条件.结果表明,最佳工艺为:超声波功率为135w,乙醇体积分数40%,提取温度80℃,提取时间30min,料液比1:20.最佳条件下总黄酮得率7.23%.     

苏铁总黄酮提取工艺研究

本文研究苏铁中总黄酮的最佳提取工艺.利用UV测定苏铁总黄酮的含量,以苏铁总黄酮含量为检测指标,在单因素试验基础上,采用正交试验法评价乙醇浓度、提取时间和液料比对苏铁总黄酮提取工艺的影响.结果显示正交试验法确定最佳提取工艺为乙醇体积分数为80%,液料比为6:1,提取时间为45min,提取次数为3次;苏铁总黄酮平均质量分数为19.36%.结论说明采用正交试验法直观、方便、准确,能有效提高苏铁总黄酮的提取效率,此方法可使中药提取工艺优化具有良好的预测性.     

柚皮总黄酮超声波辅助提取工艺的研究

采用超声波提取柚皮总黄酮,以乙醇为提取剂,探讨了影响柚皮总黄酮提取率的因素——超声时间、乙醇浓度、提取温度及液料比,通过正交试验确立了最佳提取工艺。结果表明:在60℃条件下,液料比(V(溶剂)∶m(柚皮))为20 mL/g,用70%(体积分数)的乙醇超声提取1 h时,柚皮总黄酮提取效果最好,此条件下总黄酮的质量分数为0.66%。     

竹叶总黄酮提取工艺研究

探讨用醇提法提取竹叶中黄酮类成分的最佳工艺,为竹叶的开发利用提供理论依据。以竹叶为试材,以乙醇为溶剂,采用分光光度法对竹叶中的黄酮类化合物的含量进行测试。通过单因素实验研究乙醇浓度、料液比、提取温度、提取时间对总黄酮提取率的影响,再采用正交试验法优化提取总黄酮的最佳工艺条件。单因素实验和正交试验表明：影响黄酮提取率的因素主次顺序是：料液比〉乙醇浓度〉提取温度〉提取时间。最佳实验条件为料液比1：20,60%的乙醇,60℃提取4h,竹叶中黄酮的含量为7.88mg.g-1。     

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.