共固定化多菌种混合发酵苹果汁饮料的研究

对以苹果为原料,采用多菌种细菌固定化发酵技术生产苹果汁饮料进行了研究。实验结果表明,最佳发酵条件：多菌种接种量配比为３：２：２：１,固定化细胞凝胶粒子充填量为１５％;发酵温度为２０℃,发酵时间为９６ｈ。     

共固定化多菌种双轮发酵生产保健红醋的研究（Ⅰ）：？…

对采用固定化多菌种进行酒精和醋酸的双轮发酵生产保健红醋的工艺进行了研究。第一轮发酵以德氏根霉、酿酒酵与产香酵母共固定化细胞对大米原料进行糖化和酒精发酵,试验结果表明：酿酒酵母与产香酵母共固定化细胞的最佳菌种量配比为４：３：２;固定化细胞粒子接入量为１０％;第一轮糖化及酒精发酵的最适温度为３０－３３℃,发酵时间为７０ｈ左右。     

共固定化双菌种发酵海藻酒动力学的研究

采用PVA为载体共固定化酿酒酵母和产香酵母发酵海藻，酿造海藻酒，对游离细胞与固定化细胞的分批发酵和连续发酵的动力学进行了研究并建立了相应的发酵动力学方程。实验结果表明：酿酒酵母和产香醇母两种菌种菌量的最佳配比为4：1，发酵温度20℃，共固定化细胞分批发酵和连续发酵凝胶粒的充填系数分别为0.25和0.5，游离混合细胞的发酵时间为7d，共固定化细胞连续发酵稀释速率0.12/h，其发酵时间为0.5d左右。经160d连续发酵实验，PVA固定化细胞粒子的机械强度良好。     

共固定化多菌种双轮发酵生产保健红醋的研究(Ⅰ)--共固定化多菌种酒精发酵条件的研究

对采用固定化多菌种进行酒精和醋酸的双轮发酵生产保健红醋的工艺进行了研究 .第一轮发酵以德氏根霉、酿酒酵母与产香酵母共固定化细胞对大米原料进行糖化和酒精发酵 .试验结果表明 :根霉、酿酒酵母与产香酵母共固定化细胞的最佳菌种量配比为 4∶3∶2 ;固定化细胞粒子接入量为 10 % ;第一轮糖化及酒精发酵的最适温度为 30～ 33℃ ,发酵时间为 70h左右 .     

固定化酵母发酵海藻酒的研究

对游离细胞与固定化细胞的分批发酵动力学进行了研究并建立了相应的发酵动力学方程。在小型玻璃柱式反应器中进行连续发酵海藻酒的研究，确定了适宜的发酵工艺为：发酵温度１８－２０℃，固定化细胞凝胶珠充填系数０．５，稀释速率０．１ｈ＾－１，发酵时间由游离细胞发酵７天缩短到０．５天左右。建立了柱式反应器固定化酵母第藻酒连续发酵的数学模型。     

中国专利集锦

沙棘稠酒 该发明给出了一种沙棘稠酒。它是选用糯米做原料,经蒸熟、晾凉后拌入发酵菌种混匀,经密封发酵加水研磨成稠酒浆,再在稠酒浆中加入沙棘汁充分混合均匀后消毒灭菌而获得。它综合了稠酒与沙棘的共同优点,营养成分丰富多样,保质期长,克服了现有稠酒在环境温度升高时产生二次发酵的缺点,同时为沙棘走向市场开辟了广阔前景。这种酒能显著提高人体免疫力,对癌症也有预防和治疗作用。     

固定化酵母发酵废糖蜜生产酒精

利用包埋与吸附固定化方法 ,采用不同的包埋剂和添加剂制备固定化细胞 ,发酵甘蔗废糖蜜生产酒精。试验表明 ,固定化细胞发酵糖蜜产酒精率高于游离细胞。其中海藻酸钠包埋法为一种较好固定方法 ,发酵 48h产酒率较游离细胞高出 8 72 %。添加剂Al2 O3 和麸皮的使用可使产酒率略有提高 ,并可改善凝胶珠机械强度。     

利用乳酸菌固定化细胞生产果蔬发酵饮料的研究

本文报导了利用乳酸菌固定化细胞生产果蔬发酵饮料的研究。以山楂、胡萝卜为原料，利用海藻酸钠载体包埋法将分纯的保加利亚乳杆菌和嗜热链球菌制成固定化乳酸菌细胞。经增殖后，采用自制加工的２０００ｍＬ生物反应器进行了半连续发酵试验。证明在ｐＨ６．２，温度控制在４１￣４３℃，装置２：１（Ｖ／Ｖ），发酵时间为２０￣２４小时的条件下，生产出的乳酸发酵饮料ｐＨ４．１左右，乳酸含量０．７左右。经调配，色、香、味具佳，     

固定化Zymomonas mobilis 10225乙醇发酵研究

运动发酵单胞菌(Zymomonas mobilis10225)为乙醇发酵菌种.在葡萄糖浓度为10%(w/V)的发酵培养基中,分别进行游离细胞,固定化细胞的乙醇发酵实验.结果表明,游离细胞乙醇发酵的产率系数为0.42,达到了理论值的82.4%,而固定化细胞乙醇发酵产率系数为0.51,达到了理论产率的100%.固定化技术对于提高运动发酵单胞菌酒精发酵表现有显著作用.     

多菌种混合发酵生产百合泡菜工艺初探

分析了传统发酵老盐水中的优势菌群，初步确定菌种比例．通过对多菌种发酵生产百合泡菜的工艺条件进行初步探索，得出了最优发酵条件(菌种比例为7：2：1，加糖量为5％，培养温度为28℃，培养时间为3d)．产品色、香、味俱佳，安全可口．为工业化大生产提供了技术依据。     

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.