一株α-淀粉酶生产菌的分离鉴定及其产酶条件优化

平板水解圈法从土壤中分离产淀粉酶菌株。通过碘比色法测定产淀粉酶分离菌株的酶活,筛选出一株产酶量较高的菌株,鉴定其种类,并对其产酶条件优化及酶学性质进行研究。通过革兰氏染色、生化鉴定和16SrDNA序列比对鉴定该菌的种类;从pH、温度、碳源、氮源等方面进行产酶条件优化。菌种经16S rDNA PCR序列分析比对,为枯草芽孢杆菌,因此将分离到的菌株命名为Bacillus subtislis-Y9;菌株最佳培养基配方为：淀粉6g,酵母膏13g,氯化钠5g,添加1.0%的吐温于1000mL蒸馏水中;最佳培养条件为：初始pH值为7.5;培养温度为37℃,培养时间36h。在上述培养基和优化培养条件下菌株发酵液的α-淀粉酶酶活达到7.1U/mL,约为出发菌种的5.5倍。酶学研究显示,α-淀粉酶的最适反应温度为40～60℃,反应体系pH值为6.6,并需添加0.5%CaCl2。     

在淀粉液态培养基中生产枯草杆菌α-淀粉酶的研究

以枯草杆菌（Bacillus subtilis BF7658）为实验菌株，以淀粉为主要原料，采用液态培养基发酵，生产α-淀粉酶．结果表明：（1）在23℃至44℃内，培养基起始pH值为自然pH，产酶最适培养温度为37℃；（2）枯草杆菌在淀粉液态培养基中37℃，振荡培养，其产酶最适淀粉与水组成比例为：75：100；（3）在最适温度37℃下，淀粉：水为75：100时，最适培养时间为36h．     

枯草杆菌生产α-淀粉酶的研究

以枯草杆菌（BacillussubtilisBF7658）为实验菌株,以淀粉为主要原料,采用液态培养基摇瓶发酵,生产α-淀粉酶。结果表明：①在23℃至44℃内,培养基起始PH为自然PH,产酶最适培养温度为：37℃②枯草杆菌在淀粉液态培养基中37℃,振荡培养,其产酶最适淀粉水组成为：淀粉：水=75：100;③在最适温度37℃下,淀粉：水=75：100时,最适培养时间为36h。     

枯草芽孢杆菌工程茵产耐酸性高温a-淀粉酶发酵条件的优化

利用基因工程手段获得的产耐酸性高温弘淀粉酶基因枯草芽孢杆菌工程菌株pWB—amyd／WB600,通过单因素筛选及正交实验进行发酵培养基优化,得到的最佳配方为（g／L）：玉米粉20,蛋白胨30,CaC120．5,Na2HP048．同时对实验室摇瓶条件下液体发酵的主要影响因素初始pH、接种量、装液量、转速、温度等进行探讨,确定了最佳培养条件：37℃、pH6．5、200r／min摇床培养36h,接种量为2％,装液量为30mL／250mL．在此优化条件下,耐酸性高温弘淀粉酶活力达到3980U／mL,是未优化条件下的2．1倍．     

枯草芽孢杆菌工程菌产耐酸性高温α-淀粉酶发酵条件的优化

利用基因工程手段获得的产耐酸性高温α-淀粉酶基因枯草芽孢杆菌工程菌株pWB-amyd/WB600,通过单因素筛选及正交实验进行发酵培养基优化,得到的最佳配方为(g/L):玉米粉20,蛋白胨30,CaCl20.5,Na2HPO48.同时对实验室摇瓶条件下液体发酵的主要影响因素初始pH、接种量、装液量、转速、温度等进行探讨,确定了最佳培养条件:37,℃、pH 6.5、200,r/min摇床培养36,h,接种量为2%,装液量为30,mL/250,mL.在此优化条件下,耐酸性高温α-淀粉酶活力达到3,980,U/mL,是未优化条件下的2.1倍.     

α-淀粉酶产生菌的平板筛选法的研究与改进

用平板水解圈法筛选到若干株 α 淀粉酶产生菌,它们的平板水解圈直径大小与摇瓶酶活不相关,进一步研究了３０ ℃平板淀粉的质量分数对水解圈直径的影响以及淀粉的质量分数、温度、琼脂等多种因素对离体 α 淀粉酶水解圈直径的影响,并在此基础上建立了一种快速筛选高产菌株的简便方法。     

木素降解菌的筛选和氯酚生物降解研究

从自然界中采集 ,经分离、纯化获得在愈创木酚培养基平板上产生变色圈 ,且菌落直径与变色圈直径的比值小于 1的 12株真菌。将 12株真菌接种到桉木粉无机盐培养基中 30℃培养 15d,测定其选择性指数 (SF) ,获得两株木素降解能力较高的菌株 F1、F7,SF值分别为 3.0 8和 2 .70。将12株菌株接种于含 2、4—二氯酚的漂白废水中 39℃培养 7d,获得两株高效降解 2、4—氯酚的菌株 F7、F9,其降解率分别为 87.58%和 89.6 5%。     

产植酸酶菌株的筛选、诱变及酶学性质初探

从富含有机质的环境中采集土样,通过植酸钙平板透明圈法初筛和维生素C-硫酸-钼酸铵-酒石酸锑钾法测定植酸酶酶活复筛,共筛选到5株产植酸酶的霉菌,对这5株菌株进行紫外线和亚硝基胍复合诱变处理,最终获得一株高产植酸酶突变株NTG-506,酶活达到112 U/mL,比原始出发菌株的酶活提高了3.2倍.突变株NTG-506在250mL三角瓶中发酵培养,在装液量60 mL,接种量2%时,培养4 d后酶活达到最高,为124.5 U/mL.植酸酶的最适反应温度35℃,经50℃处理10 min后剩余酶活为原来的57%.     

一株产淀粉酶的克雷伯氏菌株的分离鉴定及其产酶条件优化

从酒酿、酒曲样品中,采用透明圈法对淀粉酶产生菌株进行初筛,并通过测定酶活对其进行复筛.对所筛选出的产淀粉酶能力较高的菌株进行形态特征观察、生理生化鉴定及16S rDNA序列测定.经鉴定是克雷伯氏菌属,将其命名为Klebsiella sp.ZSY-I.通过正交实验对该菌株产酶的影响因素进行优化,结果表明：对菌株产酶影响较大的因素依次为KNO3、温度、淀粉和pH.该菌株在淀粉含量为2.5%,KNO3含量为1.25%的培养基上,30℃和初始pH为7.5,培养24 h后,酶活力达到最高为14.66 U/mL.     

一株产低温碱性淀粉酶蕈状芽孢杆菌的分离筛选和发酵优化

本研究的目的是从生态环境独特而复杂的西藏林芝地区的土壤样品中挖掘所蕴藏的特殊淀粉酶微生物资源.采用淀粉酶功能筛选的方法获得一株低温碱性淀粉酶生产菌株,编号为3F1.其酶活最适条件为10℃、pH 10.2.通过16S rDNA序列分析法鉴定该菌株为蕈状芽孢杆菌(Bacillus mycoides),并将其命名为Bm3F1.通过发酵条件的逐步优化,最终确定其最佳发酵条件为：发酵培养基中添加1.5%可溶性淀粉,培养基初始pH 7.2,装液量10 mL/250 mL,菌体接种量9.0%,发酵温度30℃,发酵时间18 h,经优化后可将菌株的酶活提升至13.58 U/mL.表明从西藏林芝地区分离的Bm3F1具有在低温和碱性条件下产较高酶活淀粉酶的特性.     

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).     

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.     

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.