双载体固定化红曲发酵红曲色素的研究

对以粉丝生产废液为主要培养基，以聚乙烯醇和海藻酸钠双载体固定红曲（Monascus purpureus），采用气升式生物反应器重复发酵生产红曲色素进行了考察研究，实验结果表明：粉丝生产废液经适当补加营养盐可作为发酵生产红曲色素的良好培养基，其最佳发酵条件为发酵培养基始初pH值5－6、发酵温度30℃、固定化细胞粒子接入量20％、通气量0.35vvm、发酵周期50h左右。     

红曲色素生产菌的诱变筛选及培养

本文从Ａｓ．３．７８２作出发菌群,经激光器诱变,获得一株红曲色素高产菌株,通过对该菌株深层发酵培养以及生长测定和色价测定,摸索出适合大量色素的最佳培养基：碳源为栗米粉,氮源为黄豆粉,发酵周期为１４４ｈｒ,发酵液色价可达１８６μ／ｍｌ。     

液态-固态两步发酵法生产红曲椰纤果研究

使用红曲霉M31以不同的方式进行红曲椰纤果生产研究,确定最佳发酵培养基组为:葡萄糖8%、磷酸铵1.0%、KH2P040.1%、MgS04.7H200.15%、酵母菌破壁液3%(vv)、pH5.5;150mL500mL液态发酵培养基每瓶75颗150rpm、粒度为1.5×1.5×1.0cm的椰纤果前期30℃液态发酵1～7天,后期25℃固态发酵8～10天,生产所得红曲椰纤果中Monacolink的含量为288.61μgg,色价为205.62μg。     

红曲霉产生Monacoclin K的研究Ⅱ

用大米粉培养基和蛋白胨培养基培养不同红央霉菌株，其产生红曲色素和Ｍｏｎａｃｏｌｉｎ Ｋ所需最适培养不同。用发酵滤液在２２９ｎｍ，２３７ｎｍ和２４７ｎｍ可测得３个特征悸紫外吸收峰。薄层层析结果表明，发酵粗提液里即可测得ＭｏｎａｃｏｌｉｎＫ。     

红曲霉产生的生理活性物质的研究──Ⅱ．红曲霉菌株产生麦角固醇的研究

红曲霉Ｍｏｎａｓｃｕｓｐｕｒｐｕｒｅｕｓ７２１菌株不仅能产生红曲色素，而且还能产生麦角固醇。在１００ｇ干菌体中可获１ｇ以上麦角固醇。该菌株以大米粉培养基培养最适宜，发酵周期为９６ｈ，产生的麦角固醇最高吸收值为２８１ｎｍ，产生的红曲色素平均色价约为８０。     

红曲霉产生的生理活性物质的研究：II.红曲霉菌株产生麦角固醇的…

红曲霉Ｍｏｎａｓｃｕｓ Ｐｕｒｐｕｒｅｕｓ７２１菌株不仅能产生红曲色素，而且还能产生麦角固醇，在１００ｇ干菌体中可获１ｇ以上麦角固醇，该菌株以大米粉培养基培养最适宜，发酵周期为９６ｈ，产生的麦角固醇最高吸收值为２８１ｎｍ，产生的红曲色素平均脂价约为８０。     

红曲色素液体深层酵工艺研究

本报道了以玉米为主要原料,采用红曲霉菌,通过液体深层发酵生产红曲色素的最佳培养基组成及其相关工艺条件的选择。摇瓶结果表明,按最佳培养基配方,以8-10%的接种量,在32℃经过72-96hrs的摇瓶培养,发酵液红色素色价基本稳定在120u/ml。最高达150-160u/ml,湿菌体收率为培养液的12%,湿菌体色价为800-1000u/g。     

利用补料分批培养技术生产红曲色素的研究

对摇瓶发酵生产红曲色素的补料分批培养技术进行了研究,结果表明：培养基中萄萄糖浓度大于４％时,红曲色素的形成受到明显的抑制,采用补料分批培养技术可以明显地提高发酵液的红曲色素总色价。当初始葡萄糖浓度为４％时,在接种３６ｈ到１３２ｈ之间,分８次补加葡萄糖,使总糖浓度达到１０％,发酵液的总色价可达到４４２．５ｕ／ｍｌ     

红曲霉固态发酵产生降脂物质的研究Ⅰ

以激光诱变红曲霉(Monascus)菌株，获突变株T—0013。研究其产洛伐他汀类物质的最佳固体发酵工艺条件，研究结果表明：T—0013菌株用大米作为基本培养基，添加氮源D和微量元素C组合，培养基初始为pH5．0，含水量控制50％，采用28℃培养，洛伐他汀类物质的产量最高。此外根据红曲霉色素产量与洛伐他汀生成量的关系，推测红曲霉产洛伐他汀的生物合成途径，可能是红曲色素生成途径中的一个分支。     

影响红曲酒糟发酵物γ—氨基丁酸含量的因子分析

红曲制品含有降血压功能的天然γ—氨基丁酸。增加红曲酒糟的γ—氨基丁酸含量可以显著提高制酒和醋的副产品红曲酒糟的附加值。本研究对影响红曲酒糟二次发酵中发酵温度、原料比、料水比、pH值、发酵时间、红曲霉菌株、金属离子等对发酵物γ—氨基丁酸含量的影响效应进行了分析,确定了红曲酒糟高天然γ—氨基丁酸二次发酵的各因子参数为：选用＂丹溪1号＂红曲霉菌株,红曲/酒糟/米皮原料比0.10/2/0.8,料水比128/100,添加0.12%CaCl,pH4.6,35℃恒温发酵72 h～79h。结果表明,该工艺可使二次发酵的红曲酒糟γ—氨基丁酸含量显著提高,具有很好的应用前景。     

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.