高效微生物絮凝剂产生菌的筛选及培养条件优化

从活性污泥中初筛分离出21株产絮凝剂的菌株,复筛得到一株具有较高,较快絮凝活性的微生物产生菌,将其命名为WZU-1。通过培养条件优化,考察了各种因素如碳源、氮源、pH、温度、培养时间、摇床转速对絮凝效果的影响。实验结果表明,WZU-1对高岭土悬浊液的最佳絮凝条件为：碳源为葡萄糖、氮源为尿素、pH为8．0、温度为38℃、摇床转速为200r／min、培养时间为36h,在最佳条件下对4‰高岭土悬浊液的絮凝率达到95．16％。同时对该菌株絮凝性能进行了研究,结果表明该菌絮凝活性物质分布在发酵液离心后的上清液中,为该菌代谢产物;并具有较好的热稳定性。     

利用酱油废水生产微生物絮凝剂及其絮凝条件优化

为了提高微生物絮凝剂的产量,增强其絮凝效果,降低培养成本,以酱油废水替代发酵培养基对WN-2菌进行了培养,通过单因素培养条件优化,考察了外加碳源、外加氮源、培养时间、pH值等因素对微生物絮凝剂产生菌絮凝率的影响。实验结果表明,以预处理过的酱油废水作为廉价替代培养基,高效絮凝菌株WN-2可以在此条件下产生微生物絮凝剂。且WN-2最佳絮凝条件为:外加氯化钙浓度为0.2 g/L、无需添加碳源和氮源、培养时间为36 h、pH为7.0、摇床转速为160 r/min,在最佳条件下,对高岭土悬浊液进行絮凝测定,其絮凝率达到93.6%。因此,利用酱油废水作为微生物絮凝剂的替代培养基是完全可行的。     

絮凝剂产生菌克雷伯氏杆菌的筛选、鉴定及培养条件优化

采用常规细菌分离方法从木薯淀粉黄浆废水中筛选得到一株微生物絮凝剂产生菌,编号为M2。经过形态学特征、生理生化反应试验和16S rDNA基因序列分析鉴定该菌株为克雷伯氏杆菌,命名为Klebsiella sp.M2。通过单因素实验对菌株M2培养条件进行优化,结果表明最佳培养基种类、培养基初始pH值、培养温度及摇床转速分别为查氏培养基、5、30℃及150r/min。与大部分微生物絮凝剂产生菌上清液表现出絮凝性不同,菌株M2的菌体本身表现出絮凝活性;经过使用超声波破碎仪证明菌体本身具有絮凝活性,最佳絮凝率达到93.20%,具有易于运输、便于使用的优点。菌株M2在以蔗糖作为碳源、KNO3作为氮源的情况下絮凝活性最好。     

一株产絮凝剂无花果沙雷氏菌的条件优化

从土壤中筛选得到了1株絮凝效果较好的微生物絮凝剂产生菌——无花果沙雷氏菌，其产生的絮凝剂对高岭土悬液的絮凝活性达94．1％．对该菌株进行了培养条件的优化．实验表明该菌株生产絮凝剂的适宜碳源为乳糖，氮源为酵母膏和尿素，pH为6．0～8．0，无机盐为0．2％的K2HPO4和0．5％的KH2PO4，接种量为1．0％，培养时间为3d，条件优化后絮凝活性达到96．0％．     

微生物絮凝剂产生菌的筛选及其絮凝性能的实验研究

从活性污泥中分离筛选出3株对高岭土悬浊液具有较好絮凝作用的絮凝剂产生菌,通过对培养基初始pH和培养时间的优化及对采油废水絮凝处理效果的研究以了解其絮凝性能．结果表明：在培养基初始pH接近中性（pH6．0-7．0）,培养时间为12～24h条件下,3种菌株对高岭土悬浊液的絮凝效果最佳,最大絮凝率达91．5％;3种菌株对采油废水具有一定的处理效果,其絮凝率为30％～40％,CODcr去除率可达40％．     

生物絮凝剂产生菌的筛选及絮凝性能研究

从活性污泥中筛选出絮凝剂产生菌,并对其絮凝条件进行絮凝性能研究。经絮凝实验筛选得到4株絮凝活性较高且稳定的菌株,分别命名为M1、M2、M3、N5。对其中1株进行絮凝活性及絮凝条件的研究,其絮凝活性物质主要为菌体分泌物,该菌可产生高絮凝活性的最佳絮凝条件:对于浓度为1~9g/L的高岭土,最佳助凝剂为1%的CaC l2,投入量为40 mg/L,pH值为9,絮凝率可达98%,具有良好的热稳定性,适于工业化生产。     

微生物絮凝剂的絮凝条件及焦化废水净化研究

从活性污泥中筛选出一株能产高效絮凝剂的芽孢杆菌,对该菌产生的微生物絮凝剂进行了絮凝条 件及废水絮凝实验研究。结果表明,微生物絮凝剂最佳絮凝条件为：原水pH值７畅０以上;助凝剂CaCl２ （１ ％ 浓度）适宜投加量为５畅０ ％ ;发酵液的适宜投加量为０畅２ ％ ;发酵液较好的离心条件为n ＝ ４ ０００转桙 min, t ＝ ３０ min。在最佳絮凝条件下,该菌产生的微生物絮凝剂对多种废水净化效果明显。     

酵母类絮凝剂产生菌的最佳培养条件研究

本文对几株混合酵母菌（HJ-1-HJ6）利用制酒废水产生微生物絮凝剂进行了研究。并对絮凝效果最好的混合菌HJ3的最佳絮凝剂合成条件进行料研究,结果表明：HJ3的最佳絮凝剂产生条件为：相对接种量15%,培养基初始pH值4.5,碳氮比20∶1,废水COD浓度为12000mg/L。酵母类混合菌产絮凝剂的最大活性均出现在36 h,比单一酵母菌产絮凝剂周期缩短了4~12h,节省了时间并提高了絮凝活性。     

复合型微生物絮凝剂的絮凝作用

复合型微生物絮凝剂是采用廉价底物经过多株菌混合发酵后制得的微生物絮凝剂。通过实验测定复合型微生物絮凝剂的絮凝效果。以松花江源水和强酸性废水为对象，测定出了絮凝剂的最佳投加量、最佳pH值范围和助凝剂CaCl2的投加量。实验表明，对于不同的水质，絮凝剂投加量不同，松花江源水的最佳投加量在14mL/L左右；对于酸性废水，投加量要高一些。最佳pH值在7．5左右。复合型微生物絮凝剂需要投加助凝剂才能起到絮凝效果，投加10％氯化钙1．5mL/L就可以达到最佳絮凝效果。温度对絮凝率的影响极小，并且沉降曲线表明，在10℃时，沉降所需时间最短。     

微生物絮凝剂产生菌群的培养条件及絮凝特性初步研究

从活性污泥中筛选到的4株稳定的微生物絮凝剂产生菌(MBF1、MBF2、MBF3、MBF4)中构建复合菌群,选取絮凝效果最好的菌群1(MBF2和MBF3组成)进行培养条件优化,考察了培养时间、絮凝剂用量、pH等因素对絮凝效果的影响,并对复合菌群1絮凝活性分布、微生物絮凝剂热稳定性、廉价替代培养基作了初步研究。实验结果表明,复合菌群1在最佳絮凝条件下对高岭土悬浊液的絮凝率为84.86%;微生物絮凝剂分布在发酵液离心后的上清液中,具有较好的热稳定性,并能在酱油废水中生长,絮凝活性达到78.36%。     

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.