紫甘蓝色素最佳提取工艺条件的研究

以食用紫甘蓝菜为原料，采用浸提法提取、分光光度法研究紫甘蓝色素．实验结果表明提取紫甘蓝色素的最佳工艺条件是：以蒸馏水为浸提剂，液固比为5：1（mL，g），酸度条件pH为2，浸提时间2h，浸提温度50℃，紫甘蓝色素的提取率达17．1％．     

南瓜黄色素提取工艺与稳定性研究

通过试验，对南瓜黄色素提取的条件和稳定性进行了研究。结果表明，提取的最佳工艺条件是以pH值为12、体积分数95％的无水乙醇为浸提剂，按每克丝状南瓜加浸提剂10ml的比例投料，在温度70℃下，浸提时间为5h；同时，实验结果表明：南瓜黄色素是一种稳定性良好的食用天然色素。     

老鹳草鞣质的提取及其抑菌效果研究

①目的：研究老鹳草鞣质成分的最佳提取工艺条件，确定其体外抗菌效果．②方法：采用正交试验方法确定最佳提取工艺，选择料水比、浸提温度、浸提时间3个因素，每个因素选取3个水平进行试验，以提取物的OD值为测定指标；用在最佳工艺条件下得到的提取液进行抑菌试验．③结果：老鹳草鞣质成分的最佳提取工艺条件是：料水比为1：30、浸提温度为80℃、浸提时间为30min；提取物对金黄色葡萄球菌和青霉有明显的抑菌效果，对大肠杆菌也有一定抑菌效果，而对枯草杆菌和黑曲霉的抑菌作用不明显．④结论：老鹳草鞣质具有明显的选择性抑菌作用．     

马尾松松针速溶茶浸提工艺的研究

通过对松针速溶茶浸提工艺的研究,得到以下结果：以o.5％β-环糊精溶液为提取溶剂,辅助超声波提取,通过单因素和正交试验,得出最佳浸提条件：提取时间为60 min,料液比为1 g∶55 ml,提取温度为75℃,提取功率为270 W.     

葎草叶蛋白提取工艺的优化

对配合使用酸法、碱法以及加热法提取葎草叶蛋白的工艺及工艺条件进行了初步的研究，以提高其蛋白质含量。分别进行了浸提剂pH值、料液比、打浆时间、浸提时间、汁液pH值和絮凝温度对蛋白质影响的单因素实验研究，结果表明，葎草叶蛋白的最佳提取工艺条件：常温下料液比1：5，打浆时间3min，浸提时间3min，浸提剂的pH值为6～8；葎草叶蛋白的分离条件为70℃时，沉淀分离得到叶绿体叶蛋白，调pH值为10时分离出细胞质叶蛋白Ⅰ，调pH值为2时分离出细胞质叶蛋白Ⅱ；葎草叶蛋白产品在60—80℃条件下干燥。采用此工艺提取葎草叶蛋白的得率为4．62％。     

微波辅助提取紫甘蓝色素

采用微波辅助提取法研究紫甘蓝色素提取的最佳工艺条件。以新鲜紫甘蓝为原料,采用单因素实验对紫甘蓝色素的微波提取方法进行了研究。在单因素实验基础上采用正交实验,确定紫甘蓝色素提取的最佳工艺条件为：固液比1：25（g／mL）、浸提剂酸性水pH为1、浸提时间2．5min、微波功率420W。     

酶法制备玉米胚芽蛋白饮料基料的工艺研究

本文以干法玉米胚芽为原料，对酶法制备玉米胚芽蛋白饮料基料的工艺条件进行了研究。结果表明，Alalase蛋白酶能显著提高玉米胚芽蛋白质及其水解物提取率，提取的较优工艺条件是：料液比1：6，碱性蛋白酶加量0．2％(蛋白质)，pH7．0，浸提温度60℃，浸提时间5h。     

从雪松针叶中提取针叶胶的研究

针叶胶的开发利用潜力很大。比较分析了不同的热水浸提法从雪松针叶中提取胶体物质的工艺条件，结果表明，在浸提温度为80℃，浸提料液比为1：20，浸提时间为21h时，雪松针叶胶的提取效果最好。     

超声波法从茶叶中提取苯多酚

介绍以陈年绿茶为原料，用超声波法提取茶多酚，并以常温浸提做比较，分别改变提取剂的浓度、体积、酸度、提取时间及料液比对产品提取率的影响进行了探讨。结果表明超声波提取茶多酚的最佳工艺条件为：70％乙醇作浸提剂，pH值为1～2，当浸提时间40min及料液比为1：10。两次超声辐射浸提后提取率为89．29／6，该法与常规溶剂提取法相比，具有提取温度低，产品得率高，氧化损耗小等特点。     

辣椒红色素与辣椒碱提取分离工艺的研究

利用溶剂法和硅胶柱层析相结合的方法提取分离辣椒红色素和辣椒碱。通过正交试验确定辣椒红色素提取的工艺条件为：浸提溶剂丙酮,浸提温度30℃,浸提时间72 h,在此条件下产率可达16.8%;辣椒碱的提取工艺条件为：浸提溶剂乙酸乙酯,浸提温度30℃,浸提时间72 h,在此条件下产率可达3.45%;该法用于辣椒红色素和辣椒碱的提取分离,简单实用、易于推广。     

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…     

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.     

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.