黄粉虫氨基酸水解液的研制

对水解黄粉虫蛋白适宜的酶进行了研究，结果表明：胰蛋白酶水解黄粉虫蛋白是最佳选择。并对影响酶解反应的因素进行了选择和分析，适宜的反应条件为：黄粉虫与水的重量比为３０∶１０５，酶作用量为黄粉虫重量的０．５％，控制反应温度５０℃，酶解时间５ｈ，ｐＨ＝８．０。在此基础上，针对单一酶水解的特异性，蛋白质水解率低的问题，进行了提高其水解率的研究，结果发现，采用脱脂、浸提、双酶水解等处理可大大提高蛋白水解率。最后用发酵法脱除异味，制得一种氨基酸含量丰富的水解液     

蜗牛水解液的制备及其乳酸发酵饮料的研究

用碱性蛋白酶对白玉蜗牛肉进行水解,探讨了水解温度、pH值、加酶量及固液比对蜗牛肉水解液水解得率的影响,通过正交试验确定了蜗牛肉水解的较佳条件,并以水解液为原料进行乳酸菌发酵,获得较佳的饮料制备工艺.结果表明:以碱性蛋白酶为水解酶,水解工艺条件为,温度50℃,pH 10.5,料液比1:5,加酶量6 000 U/g,水解3 h后加1%风味蛋白酶水解1 h时水解度为7.13%.水解液乳酸菌发酵的较佳工艺条件为:115℃高温灭菌15 min,蔗糖添加量5%,乳糖添加量2%,乳酸菌接种量3%～4%,时间6 h.     

正交试验法优化黄粉虫甲壳素提取新工艺

以黄粉虫为原料,用酶水解蛋白质,有机酸去除灰分,提取甲壳素.通过正交试验对酶水解条件和有机酸处理条件进行优化.结果表明:酶水解最佳的处理为胰蛋白酶和木瓜蛋白酶按1∶1组合、酶用量为1.0%、水解时间为7 h,水解温度为55℃;有机酸最佳的组合为苹果酸处理组合,其酸浓度为15%,处理时间为10 h,固液比为1∶50(g·m L-1).在此条件下所得到的甲壳素,其蛋白质含量为3.39%,灰分含量为0.35%.     

双酶联用水解豆奶蛋白

以大豆为原料,利用木瓜蛋白酶、风味蛋白酶单独和联用对豆奶进行水解,通过测定氨基氮的含量确定酶反应的最佳条件。单因素试验和正交试验分析的结果表明:木瓜蛋白酶和风味蛋白酶联用水解豆奶蛋白比单独使用效果好,最佳水解条件为料液比1∶10,加入等比混合的6000 U/L木瓜蛋白酶和6000 U/L风味蛋白酶,酶解温度60℃,时间6 h,控制pH值7.0。在此条件下,豆奶中蛋白质的水解程度最高,水解液中氨基氮含量高,且水解物苦味减少。     

用菜籽饼制取氨基酸水解液的试验研究

用菜籽饼作原料 ,以酸水解的方法制取氨基酸水解液的试验条件确定为 :容器加热温度 110～ 12 0℃ ;反应物温度 10 4～ 10 8℃ ;盐酸浓度 9%～ 11% ;反应时间 18～ 2 0h ;盐酸容量 (mL)与菜籽粉质量 (g)的比值约3∶1,氨基酸水解液的 pH调节至 5。氨基酸水解液的氨基酸含量可达 12 %～ 13% ,水解率可高达 10 0 %。     

生血营养液的研制

以猪血粉为主要原料,研究了酶法水解制备蛋白水解液的条件,并以适当方法配制成了具有较好纠正贫血作用的营养液.研究表明,猪血粉用AS1.398中性蛋白酶在水解液初始pH值为7,水解温度为50℃,酶用量为8 000u/g,猪血粉浓度为8%的条件下水解8h能制得较好的水解液.     

草鱼皮酶解工艺及水解物对嗜热链球菌增殖作用研究

首次研究了水产品蛋白酶解物对乳酸菌的增殖作用。选择草鱼皮为原料,通过蛋白酶Protease P“Amano”6对其进行酶解,其水解物可以作为培养嗜热链球菌增殖的氮源。同时以水解度和水解物对嗜热链球菌的增殖效果为评价指标,并利用正交实验对酶解工艺进行了优化。结果表明,蛋白酶Protease P“Amano”6对草鱼皮最佳的酶解条件为:加酶量3%、料水比1∶3(m/V)、酶解时间7 h、pH 8.0、反应温度45℃。     

葛根多菌种混合发酵研制醋饮料试验

为了开发一种富含葛根黄酮的益生菌饮料,采用协同酶解和多菌种混合发酵的方法分别进行葛根酶解和醋饮料发酵技术研究.结果表明:葛根酶解的最优条件为料液质量比1∶20,p H 5.0,纤维素酶加量1 mg·g-1,中温α-淀粉酶加量20 mg·g-1,糖化酶加量10 mg·g-1,50℃下酶解1 h,在此条件下,葛根异黄酮提取率达到7.51%,溶液中的还原糖含量达到20.76%;葛根醋饮料多菌种混合发酵的最优条件为乳酸菌、醋酸菌和酵母菌质量比2∶2∶1,菌种接种量为原料的0.5%,料液质量比1∶12,大米蛋白肽添加量为0.2 g·g-1,30℃发酵5 d,在此条件下可得发酵醋饮料总酸含量为17.90 g·L-1,葛根异黄酮量6.59 g·L-1.     

玉米多孔淀粉的制备

以玉米淀粉为原料,研究了玉米多孔淀粉制备过程中各种因素对产物成孔效果的影响,探讨了酶解成孔的机理,并对制备工艺进行了初步优化.在糖化酶和耐高温α-淀粉酶混合成的复合酶作用下,玉米淀粉水解制备玉米多孔淀粉的最佳工艺为:加酶量为按照理论水解55%淀粉的30倍加入量,糖化酶与耐高温α-淀粉酶的配比7:1,反应体系pH值5.6,酶解温度60℃,淀粉浓度60%,反应时间20h.反应后玉米淀粉的吸油率由16.15%提高到了47.59%.     

提高山药饮料稳定性的工艺研究

研究通过使用耐高温α-淀粉酶水解山药淀粉和食品增稠剂来解决山药饮料易发生分层和沉淀的问题,从而提高山药饮料的稳定性和感官品质.实验表明酶解的最佳工艺条件为:酶解温度90℃,原料用量10%,酶用量0.000 5%,时间40 m in.探讨了用琼脂、黄原胶、海藻酸钠、羧甲基纤维素钠复配增稠剂的最佳配方.     

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.