夏枯草药材和种植土壤中农药及重金属残留分析

采用气相色谱及ICP-AES法测定了安徽庐江和江苏洪泽2个种植基地的土壤和夏枯草(Prunella vulgaris L.)果穗及全草中有机氯农药及重金属含量,并根据污染指数和相关标准对土壤及药材的安全性进行了评价.测定结果表明:来源于2个基地的土壤及药材中有机氯农药及重金属含量有明显差异.庐江产果穗和全草中Pb、Cd、Cu、Cr、As及BHC含量分别为3.361和3.953、0.172和0.190、8.258和7.722、3.423和2.658、0.284和0.355、0.003和0.004 mg·kg-1,Hg和DDT未检出;洪泽产果穗和全草中Pb、Cd、Cu、Cr、Hg及BHC含量分别为2.399和1.558、0.155和0.111、7.682和6.756、4.259和3.801、0.077和0.102、0.003和0.006 mg·kg-1,As未检出,果穗中也未检出DDT.庐江基地土壤中Cd、Cu、Cr、As、Hg、BHC和DDT含量分别为0.001、12.943、47.417、1.008、0.003、0.003和0.002 mg·kg-1,Pb未检出;洪泽基地土壤中Pb、Cd、Cu、Cr、As、Hg和BHC含量分别为3.443、0.002、18.655、63.385、3.701、0.141和0.004 mg·kg-1,DDT未检出.比较结果表明:夏枯草果穗中重金属残留量均高于全草,但均低于国家限量标准;土壤中有机氯农药及重金属单项污染指数均小于1,且庐江和洪泽基地土壤的综合污染指数分别为0.286和0.399,因此,土壤污染等级属安全级且污染水平为清洁级.     

寄主作物对B型烟粉虱生长发育和种群增殖的影响

在恒温28℃、湿度80％的条件下研究了5种寄主植物对B型烟粉虱(Bemisia tubaci)生长、发育和繁殖的影响。结果表明：取食棉花、烟草、花生、大豆和玉米的烟粉虱。其形态、发育历期、存活率、成虫繁殖力和寿命等生命参数均有明显差异。棉花、大豆和玉米不利于烟粉虱卵和若虫的生长发育。表现为虫体较小、卵期和生命周期延长、存活率降低。烟粉虱在棉花、大豆、花生、烟草和玉米上的生命周期分别为32．03d、32．11d、25．69d、24．43d和20．68d。其存活率分别为49．86％、54．41％、86．86％、69．93％和29．38％。与烟草和玉米相比。棉花、大豆和花生明显有利于烟粉虱的种群繁殖．在棉花、大豆、花生、烟草和玉米上生长发育的成虫寿命和单雌产卵量分别是27．8d和235．O粒、23．2d和191．1粒、22．Od和131．1粒、6．25d和28．O粒、2．42d和5．1粒。在花生、大豆、棉花、烟草和玉米上的内禀增长率(rm)分别为O．1590、O．1364、O．1236、O．0841和-O．0285．其种群趋势指数(I)分别为113．85、117．38、103．98、19．58和O．4274。     

第19届国际昆虫学学术会议将在北京召开

【本刊讯】由中国昆虫学会主办的第19届国际昆虫学学术会议将于1992年6月28日—7月4日在北京召开。除全体会议外,大会将分设下列18个专题组:一、分类学、系统发育学和动物地理学;二、形态学和超微结构;三、细胞生物学、生理学和生物化学;四、遗传学与生物工程;五、生态学和有害昆虫防制原理;六、行为和群体饲养;七、群居昆虫和养蜂;八、昆虫病理学;九、生物防制;十、农业昆虫和害虫防制;十一、森林昆虫和害虫防制;十二、医学和兽医昆虫学;十三、毒理学;十四、杀虫剂开发、管理和法规;十五、仓贮害虫和城市昆虫学;十六、养蚕;十七、蜱螨学;十…     

沙漠化对科尔沁沙质草地生态系统碳氮储量的影响

通过野外调查,研究了沙漠化对科尔沁沙质草地生态系统碳、氮储量的影响.结果表明:沙漠化对草地碳、氮含量和储量具有显著影响,随着草地沙漠化的进程,草地碳、氮含量和储量明显下降.与非沙漠化草地相比,轻度、中度、重度和严重沙漠化草地0～100cm深土壤有机碳和全氮含量分别下降了56.06%和48.72%、78.43%和74.36%、88.95%和84.62%、91.64%和84.62%,植物组分中的碳、氮含量分别下降了8.61%和6.43%、0.05%和25.71%、2.58%和27.14%、8.61%和27.86%;轻度、中度、重度和严重沙漠化草地地上植物组分中的碳、氮储量分别下降了25.08%和27.62%、30.90%和46.55%、73.84%和80.62%、90.89%和87.31%,0～100cm深地下植物组分中碳和全氮储量分别下降了50.95%和43.38%、75.19%和71.04%、86.76%和81.48%、91.17%和83.17%.2000年科尔沁沙地沙漠化草地总面积为30152.7km2,因沙漠化损失的碳、氮总储量高达107.53和9.97Mt.草地碳、氮含量的下降主要源于风蚀过程中土壤细颗粒的损失.土壤的粗化和贫瘠化最终导致了植物和凋落物中碳、氮储量的明显下降.     

南昌市不同植物类群叶片氮磷浓度及其化学计量比

对南昌大学前湖校区89种主要植物叶片的N、P浓度及其化学计量比进行了研究,结果表明:乔灌、常绿、针叶、种子、裸子和单子叶植物类群的N浓度分别低于相对应的草本、落叶、阔叶、蕨类、被子和双子叶植物类群,而C3和C4植物差异不显著;乔灌、常绿和裸子植物类群的P浓度含量分别低于相对应的草本、落叶和被子植物类群,而针叶和阔叶、蕨类和种子、单子叶和双子叶、C3和C4植物类群间差异不显著;乔木、阔叶、被子和双子叶植物类群叶片N/P分别高于相对应的灌草、针叶、裸子和单子叶植物类群,而常绿和落叶、蕨类和种子、C3和C4植物类群之间差异不显著.可见,不同类型植物对N和P的吸收利用存在差异,且对不同养分供应采取不同的适应对策.结合研究区土壤养分现状,建议优先选择常绿、针叶、裸子和单子叶植物类群作为城市园林植物.     

科尔沁沙地沙漠化过程中土壤有机碳和全氮含量变化

通过地面调查,研究了沙漠化对科尔沁沙地农田和草地土壤有机碳和全氮含量的影响.结果表明,随着沙漠化的发展,科尔沁沙地土壤碳、氮含量明显下降.和非沙漠化农田相比,轻度、中度、重度和严重沙漠化农田土壤有机碳和全氮含量分别下降12.3%和15.3%、22.2%和24.7%、39.5%和44.7%、64.4%和63.5%;和非沙漠化草地相比,轻度、中度、重度和严重沙漠化草地土壤有机碳和全氮含量分别下降了56.3%和48.7%、78.4%和74.4%、88.9%和84.6%、91.6%和84.6%.截至2000年,科尔沁沙漠化总面积已经达到50197.5 km2,由于沙漠化而导致的土壤有机碳和全氮损失总量分别为36.39 Mt和7.89 Mt,其中草地分别占91.12%和86.06%,农田分别占8.88%和13.94%.相关分析结果表明,土壤有机碳和全氮的损失主要源于风蚀所引起的土壤粘粉粒的减少.因此,在科尔沁沙地,防治土壤风蚀对于减少农田和草地土壤碳、氮损失极为重要.     

背角无齿蚌对养殖池塘底泥释放重金属的净化效果

通过建立微型生态系统, 分析养殖池塘底泥释放重金属的特征及背角无齿蚌(Anodonta woodiana)对底泥释放重金属的净化效果。底泥对Al、Cr、Mn、Fe、Co、Ni、Cu、Zn、As、Mo和Pb的最大释放量分别为636、1.5、70.9、34951、10.3、36.9、34.0、53.2、72.4、48.8和3.0 μg·kg-1 dw; 蚌能够对Al、Cr、Mn、Co、Cu、Zn、As和Mo产生净化作用(P<0.05), 最大去除率分别可达到84.7%、98.0%、33.3%、14.3%、23.5%、69.4%、50.0%和13.0%, 响应面优化分析显示养殖密度和处理时间分别为40 只·m-3和24.49 d、25 只·m-3和23.96 d, Al和As去除率可提升至93.8%和60.5%; Al、Cr、Fe、Co、Cu、Zn、As和Mo的净化效果与养殖数量相关, Al、Cr、Mn、Fe、Co、Ni、Cu、Zn、As、Mo和Pb的净化效果与处理时间相关, Cr、Co、Ni、Cu和Zn的净化效果与两者交互作用相关(P<0.05)。提示背角无齿蚌有潜力防控池塘底泥重金属污染。     

2004年上海生命科学和生物技术论坛

为促进和加强生命科学和生物技术领域学术交流工作 ,使广大科研、工程技术和管理人员能进一步了解和掌握国内外生命科学和生物技术领域科研和生产的最新进展与发展趋势 ,促进生物医药产业的研究与发展 ,上海市科学技术协会和中国科学院上海生命科学研究院、上海医药工业研究院、上海市农业科学院、国家人类基因组南方研究中心、复旦大学生命科学学院、第二军医大学基础部、华东理工大学生物工程学院、上海交通大学农业与生物学院、上海大学生命科学学院、同济大学生命科学与技术学院、安玛西亚 (中国 )有限公司、上海市生物工程学会共同举办…     

草鱼、鲤、鲢、鳙和尼罗罗非鱼肝胰脏和肠道蛋白酶活性的初步探讨

草鱼、鲤、鲢、鳙肝胰脏和肠蛋白酶的最适pH值分别为8.7、8.7、7.6、7.6和8.4、8.7、8.0、8.4。草鱼、鲤和尼罗罗非鱼的肝胰脏蛋白酶活性比肠的高;鲢和鳙的肝胰脏蛋白酶的活性却比肠的低;尼罗罗非鱼胃的蛋白酶活性明显高于肝胰脏和肠的。草鱼、鲤和尼罗罗非鱼的肝胰脏蛋白酶活性明显高于鲢和鳙的;5种鱼的肠蛋白酶活性,鲤最高,尼罗罗非鱼最低,草鱼、鲢、鳙和尼罗罗非鱼间蛋白酶活性无明显差异。草鱼、鲤、鲢和尼罗罗非鱼的肠蛋白酶活性由前向后递减,而鳙的则以中肠活性最高。     

华南阔叶树种幼苗叶片的养分特征

研究了阔叶树种幼苗山杜英、红锥、海南红豆、火力楠、红花油茶、枫香、黎蒴、米老排和樟树的N、P、K浓度和单位叶面积含量。结果表明,海南红豆、黎蒴和樟树的N、P、K浓度较高,而红花油茶、黎蒴和樟树的单位叶面积N、P、K含量较高,9种树种的上部和下部叶片的平均养分浓度分别为N16．67和17．09g·kg^-1,P1．29和0．84g·kg^-1,K11．77和6．65g·kg^-1,平均养分含量分别为N0．871和1．069g·m^-2,P0．065和0．052g·m^-2,K0．608和0．426g·m^-2,各树种上部叶片的P和K浓度和含量大于下部叶片,从养分含量的角度考虑,红花油茶与其他8种树种混交,红锥或米老排与山杜英、枫香、海南红豆、黎蒴、樟树混交,火力楠与黎蒴、樟树混交是合理的。     

Calibration of the emulsion layers in quantitative electron microscopic autoradiography]

The quantitative results in electron microscope autoradiography are affected by many factors. The principal problem of this method is a low mechanization of all the operations made. This paper gives a short review of technical improvements. The use of a calibration permits to except those factors which exert their influence on the sensitivity of the method. Tritium sources were used for the determination of the sensitivity of the method.     

Environmental Risk Assessment of Dams in Construction Phase Using a Multi-Criteria Decision-Making (MCDM) Method

This study was conducted to identify environmental and human health risks caused by Balarood Dam, in construction phrase. The first step, all risk-generating factors were identified using a Delphi Questionnaire. Afterwards, the identified criteria were prioritized once using the Analytical Hierarchy Process (AHP) method and then by the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Due to the complex and uncertain nature of decision-making in times of risk, it was necessary to use more than one weighting method to ensure accuracy of weights. The results from AHP and TOPSIS revealed a mismatch in priorities; therefore, an integration method was presented blending Mean-Rank, Borda, and Copeland methods. According to the TOPSIS results, factors including cut and fill, explosion, and transportation, were first to third highest-priority risk-generating factors, respectively. Considering the results from the AHP method, factors cut and fill, drilling, and explosion were identified as first to third top-priority risk-generating factors, respectively. The results obtained from the integration method suggested that cut and fill, explosion, and drilling are the most important environmental risks at construction phase. As a general conclusion, different weighting methods can lead to different results by which the fate of a decision may be changed and it is essential to control final scores by applying more than one weighting method.     

Purification of a growth factor related to platelet-derived growth factor and a type beta transforming growth factor secreted by mouse neuroblastoma cells. A general strategy for the purification of basic polypeptide growth factors.

A general strategy was developed for the purification of basic polypeptide growth factors. This method is a combination of gel filtration, weak-cation-exchange h.p.l.c. and reverse-phase h.p.l.c., separating the proteins according to size, charge and hydrophobicity respectively. All steps are carried out at low pH with exclusively volatile acidic buffer solutions. The sterile conditions and easy removal of salt by freeze-drying facilitate the detection of the growth factors by biological assays. By using this method, homogeneous preparations of two basic growth factors were purified in high yield from mouse-neuroblastoma-Neuro-2A-cell-conditioned medium. It is shown that these purified factors are biochemically and immunologically related to platelet-derived growth factor and type beta transforming growth factor from human platelets.     

A method for the assessment of disease associations with single-nucleotide polymorphism haplotypes and environmental variables in case-control studies

The rough draft of the human genome map has been used to identify most of the functional genes in the human genome, as well as to identify nucleotide variations, known as "single-nucleotide polymorphisms" (SNPs), in these genes. By use of advanced biotechnologies, researchers are beginning to genotype thousands of SNPs from biological samples. Among the many possible applications, one of them is the study of SNP associations with complex human diseases, such as cancers or coronary heart diseases, by using a case-control study design. Through the gathering of environmental risk factors and other lifestyle factors, such a study can be effectively used to investigate interactions between genes and environmental factors in their associations with disease phenotype. Earlier, we developed a method to statistically construct individuals' haplotypes and to estimate the distribution of haplotypes of multiple SNPs in a defined population, by use of estimating-equation techniques. Extending this idea, we describe here an analytic method for assessing the association between the constructed haplotypes along with environmental factors and the disease phenotype. This method is also robust to the model assumptions and is scalable to a large number of SNPs. Asymptotic properties of estimations in the method are proved theoretically and are tested for finite sample sizes by use of simulations. To demonstrate the use of the method, we applied it to assess the possible association between apolipoprotein CIII (six coding SNPs) and restenosis by using a case-control data set. Our analysis revealed two haplotypes that may reduce the risk of restenosis.     

Imputation of missing covariate values in epigenome-wide analysis of DNA methylation data

DNA methylation is a widely studied epigenetic mechanism and alterations in methylation patterns may be involved in the development of common diseases. Unlike inherited changes in genetic sequence, variation in site-specific methylation varies by tissue, developmental stage, and disease status, and may be impacted by aging and exposure to environmental factors, such as diet or smoking. These non-genetic factors are typically included in epigenome-wide association studies (EWAS) because they may be confounding factors to the association between methylation and disease. However, missing values in these variables can lead to reduced sample size and decrease the statistical power of EWAS. We propose a site selection and multiple imputation (MI) method to impute missing covariate values and to perform association tests in EWAS. Then, we compare this method to an alternative projection-based method. Through simulations, we show that the MI-based method is slightly conservative, but provides consistent estimates for effect size. We also illustrate these methods with data from the Atherosclerosis Risk in Communities (ARIC) study to carry out an EWAS between methylation levels and smoking status, in which missing cell type compositions and white blood cell counts are imputed.     

三级综合性医院平均住院日影响因素分析

平均住院日是衡量医院医疗技术水平、医疗服务质量的综合性指标,平均住院日的长短反应医院的医疗工作效率及医院综合管理水平。运用病历分析及问卷调查相结合的方法,初步筛选出影响平均住院日的因素,然后通过因子分析法对初步筛选出的因素进进行降维、数据浓缩等处理,最终将影响平均住院日的因素按照重要程度进行排序。旨在更好的有针对性的管理这些因素,从而科学地缩短平均住院日,最终保证医疗质量水平的提高。     

Cylindrically Rotatable Designs of Type 3: Further Considerations

The cylindrically rotatable designs of type 3 are generalised to consider the factors split up into any number of groups. The conditions which must be satisfied by such a design are derived from the moment generating function of the design. A method of construction of second-order cylindrically rotatable designs of type 3 with three or more groups of factors is provided.     

The role of atmospheric dispersion models and ecosystem sensitivity in the determination of characterisation factors for acidifying and eutrophying emissions in LCIA

Background, aim and scope  The methodological choices and framework to assess environmental impacts in life cycle assessment are still under discussion. Despite intensive developments worldwide, few attempts have been made hitherto to systematically present the role of different factors of characterisation models in life cycle impact assessment (LCIA). The aim of this study is to show how European average and country-dependent characterisation factors for acidifying and eutrophying emissions differ when using (a) acidifying and eutrophying potentials alone, (b) depositions from an atmospheric dispersion model or (c) critical loads in conjunction with those depositions. Furthermore, in the latter case, the contributions of emissions, an atmospheric transport model and critical loads to changes in characterisation factors of NO₂ are studied. In addition, the new characterisation factors based on the accumulated exceedance (AE) method are presented using updated emissions, a new atmospheric transport model and the latest critical loads. Materials and methods  In this study, characterisation factors for acidifying and eutrophying emissions are calculated by three different methods. In the ‘no fate’ (NF) methods, acidifying and eutrophying potentials alone are considered as characterisation factors. In the ‘only above terrestrial environment’ (OT) approach, characterisation factors are based on the deposition of the acidifying or eutrophying substances to terrestrial land surfaces. The third method is the so-called AE method in which critical loads are used in conjunction with depositions. The results of the methods are compared both at the European and the country level using weighted mean, weighted standard deviation, minimum and maximum values. To illustrate the sensitivity of the AE method, changes in European emissions, employed atmospheric dispersion model and the critical loads database are conducted step-by-step, and the differences between the results are analysed. Results and discussion  For European average characterisation factors, the three characterisation methods of acidification produce results in which the contributions of NH₃, NO₂ and SO₂ to the acidification indicator do not differ much within each method when 1 kg of each acidifying substance is emitted. However, the NF methods cannot describe any spatial aspects of environmental problems. Both OT and AE methods show that the spatial aspects play an important role in the characterisation factors. The AE method results in greater differentiations between country-dependent characterisation factors than does the OT method. In addition, the results of the AE and OT methods differ from each other for individual countries. A major shortcoming of the OT approach is that it does not consider the sensitivity of the ecosystems onto which the pollutants are deposited, whereas the AE approach does. In the case of the AE method, a new atmospheric dispersion model, new information on emissions and critical loads have a different influence on the characterisation factors, depending on the country. The results of statistics show that the change in the atmospheric dispersion model has a greatest influence on the results, since ecosystem-specific depositions are taken into account for the first time. Conclusions and recommendations  The simple NF methods can be used in a first approximation to assess the impacts of acidification and terrestrial eutrophication in cases where we do not know where the emissions occur. The OT approach is a more advanced method compared with the NF method, but its capability to describe spatial aspects is limited. The AE factors are truly impact-oriented characterisation factors and the information used here represents the current best knowledge about the assessment practice of acidification and terrestrial eutrophication in Europe. The key message of this study is that there is no shortcut to achieving advanced characterisation of acidification and terrestrial eutrophication: an advanced methodology cannot develop without atmospheric dispersion models and information on ecosystem sensitivity.     

Evaluation of Gene Expression Classification Studies: Factors Associated with Classification Performance

Classification methods used in microarray studies for gene expression are diverse in the way they deal with the underlying complexity of the data, as well as in the technique used to build the classification model. The MAQC II study on cancer classification problems has found that performance was affected by factors such as the classification algorithm, cross validation method, number of genes, and gene selection method. In this paper, we study the hypothesis that the disease under study significantly determines which method is optimal, and that additionally sample size, class imbalance, type of medical question (diagnostic, prognostic or treatment response), and microarray platform are potentially influential. A systematic literature review was used to extract the information from 48 published articles on non-cancer microarray classification studies. The impact of the various factors on the reported classification accuracy was analyzed through random-intercept logistic regression. The type of medical question and method of cross validation dominated the explained variation in accuracy among studies, followed by disease category and microarray platform. In total, 42% of the between study variation was explained by all the study specific and problem specific factors that we studied together.