葵花籽粕中蛋白质提取工艺的优化

采用盐提法提取葵花籽粕中的蛋白质,以提取率为评价指标,采用单因素试验探讨NaCl浓度、料液比、提取温度、提取时间、pH值、提取次数对蛋白质提取率的影响,采用正交试验优化提取工艺。结果表明:葵花籽粕中蛋白质的最佳提取工艺条件为NaCl浓度1.5mol.L-1、料液比1∶14(g.mL-1)、温度50℃、提取时间1.5h、pH值8、提取2次,此条件下蛋白质提取率为54.8%。     

纤维素酶法提取柑橘皮果胶

本试验采用酶法提取柑橘皮果胶,研究了温度、加酶量、料液比及提取时间对提取率的影响.结果表明,在pH4.6的磷酸氢二钠-柠檬酸缓冲液的提取效果最佳,其最佳提取条件为:温度为37℃、加酶量0.1 U/g、料液比1:20、提取时间4 h,其提取率达到了6.109%.     

响应面法优化杨梅原花青素提取工艺

为优化杨梅原花青素的提取工艺参数,通过单因素实验,采用响应面法研究乙醇浓度、料液比、提取时间和温度等对杨梅原花青素提取的影响,以原花青素提取率为评价指标,通过Box-Behnken组合,建立杨梅提取的二次回归方程,得到最优提取条件.结果表明,杨梅原花青素提取得率的影响的顺序为:乙醇浓度温度时间料液比;杨梅原花青素的最佳提取工艺条件为:乙醇浓度为92%,提取温度75℃,提取时间57 min,液料比选取25:1(m L/g).该条件下,杨梅原花青素提取率的为30.03 mg/g.     

响应面法优化提取燕麦麸清蛋白工艺

以燕麦麸皮为材料,采用水提法提取燕麦麸皮清蛋白,在单因素试验的基础上,以料液比、提取温度、提取时间为影响因子,以清蛋白的提取率为响应值,利用响应面法优化提取条件提取燕麦麸清蛋白,并作了响应面和等高线图;通过Design-Expert8.0.6.1软件对料液比、提取温度、提取时间影响燕麦麸皮清蛋白提取率进行响应面分析,结果显示最佳工艺参数为:料液比1∶11.36,提取时间60min,提取温度40℃,清蛋白的提取率为1.71%;为燕麦麸皮清蛋白进一步的研究提供理论基础.     

微波法提取天麻多糖的研究

以天麻多糖为研究对象,采用正交实验法对天麻多糖提取工艺进行了初步的探讨,比较了功率、温度、提取时间及液料比等因素对多糖提取率的影响.微波法提取天麻多糖的最佳工艺条件:功率500 W,温度70 ℃,加热时间120 s,液料比40.用苯酚-硫酸法测定其含量,该法具有省时、节能、环保、操作便利且提取率高等优点.     

BCA法优化补骨脂蛋白质的提取工艺

采用碱提酸沉法提取补骨脂蛋白质,以二喹啉甲酸(BCA)法测定的蛋白质溶出率为指标,通过单因素实验和正交实验优化补骨脂蛋白质的碱提工艺条件,考察浸提p H、料液比、温度、时间等因素对补骨脂蛋白质提取的影响.结果表明,四种提取因素的影响从大到小的顺序为:浸提p H料液比温度时间.最佳工艺条件为浸提p H 10.0、料液比(g/m L)1∶20、温度45℃、浸提时间150 min,此条件下补骨脂蛋白质溶出率为23.69%.以BCA法测定酸沉蛋白质浓度,确定补骨脂蛋白质的最大沉淀量p H为4.5,蛋白质的最大沉淀率为55.16%.对比发现理论提取率与实际提取率基本相同,证明BCA法测定补骨脂蛋白质的方法准确、可靠,为补骨质蛋白质的进一步研究利用奠定了基础.     

超声波法结合响应曲面法优化葡萄籽中原花青素的提取工艺研究

研究以单因素实验结果为依据,采用三元二次旋转组合设计及响应曲面分析法,研究了以时间、温度及料液比三个条件对葡萄籽中原花青素提取率的影响。试验结果显示:最佳提取条件是提取温度44.99℃,料液比1∶12(g/ml),提取时间15.37 min,预测提取率可达19.93%,在此条件下通过实验验证,原花青素的提取率为19.97%。将提取的原花青素纯化,并与标准品通过红外和高效液相检测,峰形和出峰时间基本一致。     

纤维素酶提取灵芝多糖的单因素研究

利用纤维素酶从灵芝子实体中提取灵芝多糖,通过单因素实验研究酶量、酶解时间、料液比、酶解温度对灵芝多糖提取率的影响。实验结果表明:纤维素酶能够显著提高灵芝多糖的提取率,提取的最佳工艺条件为酶量2.0%,酶解时间90min,料液比1:30,温度50℃。     

响应面法优化乳酸辅助提取菠萝皮果胶的工艺研究

为优化乳酸辅助提取菠萝皮果胶的工艺,在单因素实验的基础上,利用响应面法建立了菠萝皮果胶提取工艺的二次响应面方程。实验证实提取时间、乳酸浓度、液料比、提取温度对菠萝皮果胶提取率有不同的影响。结果表明,在实验范围内,各工艺条件对菠萝皮果胶提取率的影响大小顺序为:提取温度乳酸浓度提取时间液料比。菠萝皮果胶提取的最佳工艺参数:提取时间96 min,乳酸浓度8.25%,液料比25 m L·g-1,提取温度74℃,在此条件下,菠萝皮果胶提取率达8.47%,与预测值相对误差为0.58%,验证了该模型的有效性,表明该提取工艺条件合理可行。     

超声波辅助有机溶剂法浸提大蒜油的研究

本文以新疆吉木萨尔县大蒜为原料,采用有机溶剂法进行大蒜油提取,对影响大蒜油提取率的因素:大蒜的粒度、提取的温度、时间及提取料液比等进行研究。确定了最佳提取条件:大蒜粒度为2—3mm、酶解时间为2h、酶解温度为30℃,提取率0.37%。在此条件下所得大蒜油的提取率最高。     

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.