混菌固态发酵啤酒糟的研究

利用不同原料配比进行混菌发酵啤酒糟来提高其蛋白质量分数研究.研究表明,利用木霉、黑曲霉和酵母混菌发酵,啤酒糟和麦夫皮配比为4∶1时,在28-30 ℃,含水量65%-70%条件下,发酵3 d后蛋白质质量分数提高到35%以上.     

生物转化啤酒糟为饲料蛋白的研究

利用对黑曲霉、白地霉、热带假丝酵母、产朊假丝酵母及添加纤维素酶混合发酵啤酒糟生产饲料蛋白质进行了初步的研究.正交试验结果表明,最佳原料配比为 m(啤酒糟 )∶ m(麸皮 )∶ m(豆粕 )=80∶ 15∶ 10,原料含水量为 60％,其最佳发酵条件为发酵温度 30℃ ,pH为 6.0,接种量为 2％,培养时间 3 d. 成分分析结果表明,发酵产物营养丰富,粗蛋白含量达 41.52％.     

酸性蛋白酶饲料固态发酵条件的研究

探讨了以啤酒糟为主要原料进行固态发酵生产酸性蛋白酶饲料的方法,研究了不同发酵基质配比及发酵条件对酸性蛋白酶活力的影响.试验结果表明,最适的发酵基质配比为m(啤酒糟)∶m(豆粕)∶m(玉米淀粉)∶m(KH2PO4)=100∶9∶2∶0.2;最适发酵条件为:原料含水量为58%,发酵温度31℃,初始pH为5.5,发酵时间84 h.在上述条件下,酸性蛋白酶活力达7 800 U/g.     

发酵啤酒糟生产饲料蛋白的研究

利用热带假丝酵母（Ｃａｎｄｉａｔｒｏｐｉｃａｌｉｓ）、绿色木霉（Ｔｒｉｃｈｏｄｒｍａｌｉｇｎｏｒｕｍ），白地霉（ＧｒｉｅｏｔｒｉｃｈｕｍｃａｎｄｉｄｕｍＬｉｎｋ）、黑曲霉（ＡｓｐｅｒｇｉｌｌｕｓＮｉｇｅｒ）、米曲霉（Ａｓｐｅｇｉｌｌｕｓｏｒｙｚａｌ）等五株菌混合发酵啤酒糟生产饲料蛋白，提高饲料的利用价值，并改善了啤酒糟的适口性。通过五种菌株的协同作用使啤酒糟中的非氮物质转化为蛋白质，没被利用的多糖物质和如纤维素，半纤维素及部分淀粉转化为被消化吸收的低聚糖、双糖和单糖。在同一条件下，同一时间内各种菌株相互间协调，各自完成发酵的功能。培养基为啤酒糟８５％、玉米面１０％、麦麸５％。培养温度２８－３０℃，培养周期４８ｈ。分析结果表明：粗蛋白含量高达３２．８６％以上，氨基酸齐备，粗纤维降低到９．９％，具有较高的蛋白酶，果     

啤酒糟蛋白曲奇饼干的研究

为了提高啤酒糟的利用价值和应用范围,将啤酒糟蛋白作为原料部分替代面粉制备了曲奇饼干,并进行感官评价和质构分析实验。结果表明啤酒糟蛋白曲奇饼干的最佳配方为:面粉和啤酒糟蛋白合计100%,鸡蛋50%,黄油45%,糖粉20%,其中啤酒糟蛋白量占面粉和啤酒糟蛋白总量比的15%。口感酥脆,麦香味怡人,适于工业生产。     

黑曲霉和热带假丝酵母混菌固态发酵麸皮工艺优化

为探索微生态发酵饲料固态发酵的最佳工艺参数,以黑曲霉和热带假丝酵母作为发酵菌种,以麸皮作为主要发酵基质,进行混菌发酵,以提高麸皮的蛋白含量和减少麸皮的粗纤维含量为衡量指标,优化工艺参数.最佳工艺参数为:麸皮含水量70%,黑曲霉与热带假丝酵母菌种配比为2∶1,发酵温度32℃、发酵时间72h.在此工艺参数下固态发酵麸皮发酵效果最好,蛋白质含量最高,粗纤维含量最低.     

多菌联合固态发酵生产酒糟菌体蛋白饲料的实验研究

利用米曲霉、黑曲霉和酵母组成的三菌发酵体系对啤酒糟进行高蛋白菌体饲料化生物转化.方法为以预处理过的酒糟粉为主要培养基,添加少许辅料,接种上述三种菌种进行固态发酵.该方法的培养周期为6d,所得酒精菌体蛋白饲料的粗蛋白含量高达35.9%,糖化酶活力达7564.1u/g,演粉酶活力达4824.4.     

利用啤酒糟液体深层培养风尾菇产木聚糖酶的初步研究

研究了风尾菇（Pleurotus ostreatus）利用啤酒糟作为原料进行液态发酵产木聚糖酶的可行性.通过正交试验得出最佳的培养基配方.同时对不同发酵时间还原糖的减少和木聚糖酶活性的进行测定.培养基最佳配方：啤酒糟6 g,黄豆粉0.32 g,玉米粉2 g,糖10 g,pH值5.0.发酵的最佳时间为72 h,此时木聚糖酶的活性最大,为9.2 U/mL.     

白酒丢糟的多菌种混菌固态发酵制备有机肥

以白酒丢糟为主要原料,4种芽孢杆菌、2种霉菌与酿酒酵母为混菌发酵菌株,进行多菌种混菌固态发酵,以发酵产物的腐殖质、全氮、全磷、全钾含量为指标,通过单因素实验和响应面法分析探讨酒糟固态发酵制备有机肥在初始含水量、酒糟量和初始pH的最佳工艺条件.经验证性实验可知预测值与实际值相符,得到最佳工艺条件:初始含水量为60.54%、酒糟量为52.06%、初始pH为7.03,接种量为3%~5%,发酵时间为6 d,发酵产物中腐殖质含量达到17.50%,种子发芽指数GI值达到93.2%,E4/E6值为2.19.     

谷氨酸发酵废醪菌渣营养分析及其RNA的提取

以豆粕、花生粕、棉籽粕为对照,测定了谷氨酸发酵废醪菌渣的主要营养成分,并用浓盐法提取其RNA。结果表明,谷氨酸发酵废醪菌渣蛋白质质量分数为430 g/kg,仅次于豆粕,高于花生粕和棉籽粕;游离氨基酸和赖氨酸含量明显高于3个对照样品,分别为对照样品的6~7倍和7~8倍;游离氨基酸包括必需氨基酸赖氨酸(Lys)、缬氨酸(Val)和亮氨酸(Leu)等5种,而对照样品中游离氨基酸只2~3种;粗纤维、粗脂肪和总糖含量明显均低于对照样品;谷氨酸发酵废醪菌渣中RNA质量分数为68.8 g/kg,高于啤酒酵母菌。提取得到的RNA制品纯度达到67.7%,与市售酵母RNA纯度相近。     

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.