D-301大孔树脂富集刺山柑总酚酸工艺研究

研究D-301大孔树脂富集刺山柑总酚酸的工艺条件及参数。以刺山柑阿魏酸含量为指标建立标准曲线,使用D-301大孔树脂,优选富集刺山柑总酚酸的最优条件。上样液浓度及pH对总酚酸吸附率有显著影响,而洗脱液的pH则显著影响解吸率。采用D-301树脂富集纯化刺山柑总酚酸,吸附率达98．1％,解吸率达72％。D-301树脂交换吸附刺山柑总酚酸的纯化方法可取,具有良好的应用前景。     

大孔弱酸阳离子交换树脂对Pb(Ⅱ)的静态吸附性能

通过静态吸附实验,研究了Pb²⁺在D152大孔弱酸阳离子交换树脂上的吸附行为,从热力学和动力学方面对吸附过程进行了分析,并通过红外光谱法探讨了吸附机理。结果表明,在所研究的条件范围内,Pb²⁺在D152树脂上的吸附为自发进行的吸热过程,符合Freundlich等温吸附方程;液膜扩散为吸附速率的主要控制步骤;在所研究的浓度范围内,333K温度下树脂的最大静态饱和吸附容量为214mg/g,298K温度下用3mol/L的硝酸作为解吸剂,解吸率可以达到98;该树脂吸附操作简单,易再生,重复使用性良好,可望用于含铅废水的治理及铅的富集。     

弱碱性阴离子交换树脂在钨钼分离中的应用

研究了D30 1 (叔胺 )和D31 2 (伯胺 ) 2种弱碱性阴离子交换树脂对MoS2 -4 的吸附和解吸行为 .结果表明 ,D30 1树脂对MoS2 -4 有较好的吸附效果 ,但用 0 .5mol·L- 1 的NaOH溶液解吸时解吸率仅为 2 9.6 % ;D31 2树脂对MoS2 -4 的吸附效果较差 ,但用 0 .5mol·L- 1 的NaOH溶液解吸时解吸率可达 90 %以上 ;此外 ,将二者应用于基于MoS2 -4 同WO2 -4 性质差异的离子交换除钼工艺尚存在一定的问题     

大孔树脂对丹参酮ⅡA的静态吸附研究

考察了7种不同极性的大孔树脂对丹参酮ⅡA的静态吸附解吸效果;探讨了吸附过程中树脂在25℃的等温吸附过程与吸附动力学曲线,并应用Langmuir方程与Freundlich方程对吸附过程进行了拟合。结果表明：非极性的HPD-100树脂对丹参酮ⅡA的吸附解吸效果较好,其吸附率为72.24%,解吸率为69.31%,吸附量达15mg/g干树脂左右。该树脂是吸附解吸丹参酮ⅡA的较理想树脂。     

X-5树脂吸附分离海边月见草叶总黄酮的影响因素

采用3种大孔吸附树脂对海边月见草叶总黄酮进行吸附纯化,筛选出适宜的树脂X-5,考察了原液质量浓度、pH值、温度、树脂用量等因素对该树脂静态吸附的影响,以及洗脱剂乙醇体积分数对静态解吸效果的影响.结果表明:X-5树脂对海边月见草叶总黄酮有良好的吸附纯化性能,当原液质量浓度为1.250m g.mL-1时,树脂达饱和吸附量12.08 m g.g-1(湿质量);在室温、振荡条件下,提取液pH值4.0~4.5时,树脂具有较好的吸附效果;而适宜的洗脱剂为体积分数50%~70%的乙醇溶液,70%乙醇的解吸率为71.27%.     

用大孔吸附树脂分离纯化育亨宾

以育亨宾(Yohimbine)的吸附率和解吸率为指标筛选大孔吸附树脂,研究其吸附和解吸条件,并考察所选定树脂的吸附和解吸性能.结果表明,将云南萝芙木根粉浸提液蒸去乙醇,并用2 mol/l HCl调pH=3后进行吸附,所选用的H-20型大孔吸附树脂对育亨宾的吸附率可达到98%.然后用98%甲醇(pH=1)进行解吸,解吸率达85%.通过H-20型树脂的吸附和解吸,育亨宾的纯度可提高近20倍.     

离子交换法处理集成电路封装有机废水的研究

采用离子交换法处理集成电路封装去胶产生的有机废水.静态实验研究结果表明,弱酸型阳离子交换树脂OD5对该废水中的有机物具有吸附容量大、再生性能好等特点.废水经10.0g树脂吸附后,COD从760.0mg/L降至272.6mg/L;再经芬顿氧化,废水COD降至55.2mg/L,COD总去除率达到92.7%.吸附动力学研究表明,OD5树脂吸附COD受内扩散控制,吸附速率常数为k=7.6×10-3min-1.     

铜负载螯合树脂对氨氮的解吸及循环吸附性能

以铜负载螯合型阳离子交换树脂(R-Cu)为新型氨氮吸附剂,研究解吸剂种类、解吸剂加入量、循环流量对R-Cu树脂的氨氮解吸率的影响,得到树脂的氨氮酸解吸动力学方程,通过循环实验,考察解析后R-Cu树脂的氨氮吸附性能。研究结果表明:HCl对氨氮的解吸效率高于CH_3COOH和CO_2对氨氮的解吸效率;当湿树脂中HCl用量为0.75 mol/L、解析时间为80 min、循环流量为12 L/h时,氨氮解吸率可达93%;氨氮解吸动力学基本符合准二级动力学方程;经吸附–解吸循环5次后,R-Cu树脂对氨氮的吸附性能保持稳定。     

应用大孔吸附树脂吸附分离技术制备菊苣酸的研究

考察了9种大孔吸附树脂对紫锥菊中菊苣酸的吸附分离性能,确定大孔吸附树脂吸附分离菊苣酸的工艺条件。结果表明AB-8树脂对菊苣酸有良好的吸附分离性能,其吸附分离菊苣酸的工艺条件为:质量浓度为3～4mg/mL,pH值为3的菊苣酸原料液以2mL/min的流速上柱吸附,再用6倍量树脂体积 (6BV)的30%乙醇以1mL/min的流速上柱进行解吸。AB-8树脂柱饱和吸附量可达18.0mg/mL,解吸率达90.2%。经AB-8树脂吸附分离,产品纯度达20.2%,纯度比紫锥菊初提物提高了近5倍。     

大孔树脂精制血竭总黄酮

采用D 101大孔树脂纯化血竭总黄酮,筛选适宜的吸附和解吸条件,并对解吸动力学曲线进行了数学拟合.研究结果表明:在pH 11.20、流速为1.0mL/m in、上柱原液总黄酮浓度3.64×1-0 3g/mL条件下,D 101树脂对血竭总黄酮的动态吸附容量为13.4 m g/g;用70%乙醇为洗脱剂,在pH 6.00、流速0.5 mL/m in条件下,用量为4倍柱床体积时,可洗脱下树脂吸附的血竭总黄酮,解吸率达97.1%;血竭总黄酮在D 101树脂上的解吸动力学可以用一级扩散方程较好拟合.     

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)

正~~     

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.