气相色谱-质谱法分析茶叶中常见的15种农药残留

目的：利用气相色谱-质谱法同时检测茶叶中有机氯,拟除虫菊酯,有机磷多种农药残留。方法：茶叶试样用二氯甲烷提取后经无水硫酸钠脱水,活性炭脱色,再用凝胶色谱柱净化,净化液浓缩并定容后,供色相色谱-质谱（GC-MS）测定和确证,外标法定量。结论：气相色谱-质谱法分析茶叶中农药残留量快速、高效,重现性、回收率较好,符合实际检验要求。     

气相色谱法测定茶叶中菊酯类农药残留

近年来,茶叶的安全卫生已经在国际贸易中成为一种技术壁垒.如何用科学的方法,快速、准确地检测出茶叶中农药的残留量,对正确使用农药,提高茶叶质量,扩大出口起着重要作用.菊酯类农药是一类广谱性杀虫剂,具有高效、低毒、低残留等优点,近年来广泛用于茶园虫害的防治.本文介绍一种用气相色谱法测量茶叶中氯氰菊酯、氰戊菊酯、溴氰菊酯残留的方法.该方法采用微量化学法和固相萃取技术对样品进行提取及净化处理,在实际应用中效果较为理想.     

气相色谱-质谱法测定茶叶中42种残留农药

粉碎后的茶叶使用乙腈超声提取,再经石墨化碳固相萃取柱净化,采用气相色谱-质谱法(GC-MS)的选择离子监测（SIM）方式和外标法定量方法,同时分析测定了茶叶中的42种农药(12种有机氯、9种拟除虫菊酯、20种有机磷和戊唑醇)残留量。该方法回收率在62.5%～120.1%之间,相对标准偏差小于15.1%,42种农药的检出限最低为0.3μg/kg,最高为9.2μg/kg。该方法快速、灵敏、准确,各项技术指标满足国内外农药残留检测的要求,能够应用于茶叶试样中痕量农药残留的分析。     

基质固相分散萃取测定茶叶中农药多残留初探

文章建立了一个简单快速、能同时分析茶叶中多种农药残留的新方法。采用一种新的样品前处理方法——基质固相分散(Matrix Solid-Phase Dispersion,MSPD)萃取替代传统的液-液萃取、固相萃取,从茶叶中提取、净化14种常用农药残留,采用GC-FPD分析检测;14种农药的回收率在65.4%~110.6%之间,相对标准偏差小于19.3%,LOD为5.0~30.0μg/L,LOQ为25.0~100.0μg/L。     

茶叶中农药残留分析技术研究进展

查阅近些年国内外公开发表的文献,简述了我国茶叶生产上常用农药情况,比较了国内外茶叶农药残留最大限量标准,综述了茶叶中农药残留的主要检测技术,重点对固相微萃取法、液相微萃取法、分散固相萃取法等样品前处理技术,以及气相色谱法、液相色谱法、质谱法、免疫分析法等检测技术在茶叶农药残留分析中的应用及特点进行了总结,并对其发展方向进行了展望,以期为今后开展茶叶中农药残留的分析研究提供参考。     

国内外茶叶农药最大残留限量标准比较分析

我国出口茶叶中经常检出农药超标,严重影响其国际竞争力。通过对我国茶叶农药最大残留限量(MRLs)标准与国际食品法典委员会(CAC)以及欧盟、日本、澳大利亚等发达国家茶叶农药最大残留限量标准的比较分析,找出我国与国外茶叶农药最大残留限量标准的差距,了解各国茶叶农药最大残留限量标准的最新动态,并对差异进行了分析研究,为完善我国茶叶农药最大残留限量标准提出参考建议,对提升我国茶叶出口竞争具有重要意义。     

超声提取-分散固相萃取-气相色谱法测定绿茶中有机磷类农药残留

应用超声辅助提取和分散固相萃取前处理方法结合气相色谱（配火焰光度检测器）建立了绿茶中13种有机磷类农药残留的快速分析方法.5 g茶叶样品用20 m L乙腈（含1%乙酸）超声辅助提取后,以石墨化炭黑与伯仲胺混合型固相分散净化,高速离心后氮吹浓缩复溶,过滤膜,用气相色谱-火焰光度检测器进行检测.在0.02-0.10 mg/kg的添加水平,13种有机磷农药的平均回收率是84.78%-116.72%,相对标准偏差是0.12%-9.32%,检出限是0.000 8-0.01 mg/kg.本方法简便快速,准确性好,成本低,该方法已用于市面上销售的绿茶产品中有机磷类农药残留测定,结果均低于国家标准GB 2763—2012的最大残留量要求.     

气相色谱-质谱法测定苹果中多种农药残留

通过对苹果中多种农药残留进行定性定量分析,考察方法的可行性与可靠性.用丙酮-己烷混合液(V丙酮∶V己烷=20∶80)溶液对苹果匀浆液进行提取,通过Florisil固相萃取柱净化苹果提取液,采用气相色谱-质谱对苹果中多种残留农药进行测定,以保留时间和特征离子定性定量;本方法测定了苹果中包括有机磷、有机氯、氨基甲酸酯类在内的50种农药,通过色谱和质谱对每一农药都进行了定性分析,86%农药的添加回收率都在70%～103%之间,相对标准偏差在0 2%～6 0%之间;证明了采用丙酮-己烷混合液(V丙酮∶V己烷=20∶80)溶液、Florisil固相萃取柱对苹果进行提取、净化,再用气相色谱-质谱分析多种农药残留的方法是可行的,可以作为针对多农药残留的分析方法.     

毛细管气相色谱法同时测定蔬菜中9种菊酯类农药残留量

对3种不同种类蔬菜中残留的9种菊酯类农药的提取、净化及气相色谱测定方法进行了研究．样品采用乙腈提取,固相萃取柱[SFC Florisil-（1g）]净化,并采用GC-ECD法同时测定样品中9种菊酯类农药的残留量．方法检出限为0．0004～0．0040mg·kg^-1,平均回收率为84．3％～101.1％,相对标准偏差为1．5％～2．7％．该方法的样品预处理简单,分析速度快,结果准确可靠,能满足实际样品分析．     

GC-NCI-MS分析粮谷中多类农药残留

 建立了粮谷中14种农药残留（9种有机氯、3种拟除虫菊酯和2种含氯有机氮）气相色谱-负化学源-质谱（GC-NCI-MS）的分析方法,试样样品用V(正己烷)∶V(丙酮)=1∶1超声波提取,硅镁吸附剂净化,采用GC-NCI-MS选择离子扫描方式检测.结果表明,该方法准确、快速、选择性好、抗干扰能力强,14种农药的方法最低检出限：0.01～0.18?μg/kg,平均添加回收率在75.2%～109.7%之间,变异系数都小于10%,并成功应用于大米、面粉试样中痕量农药残留分析.     

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).     

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.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.