高温水萃取在食品安全快速检测中的应用研究

采用高温水萃取方法对食品中农药残留、甲醛、亚硝酸盐、抗生素等成分进行快速萃取,结合分光光度法、液相色谱等分析方法进行了上述成分的快速检测研究。结果表明,蔬菜中甲胺磷的萃取条件为pH=8.0的磷酸缓冲溶液、萃取温度120℃、萃取时间2～3min;腐竹中甲醛的萃取条件为0.1mLH3PO4溶液/10mL、萃取温度120℃、萃取时间5min;肉制品中亚硝酸盐的萃取条件为5mL硼砂饱和溶液/10mL、萃取温度120℃、萃取时间5min;饲料中四环素的萃取条件为pH=2.0的盐酸溶液、萃取温度100℃、萃取时间4min。与现有的蒸馏、振荡萃取、超声萃取等预处理方法比较,高温水萃取法具有萃取效率高、精密度好、快速、简便和不使用有机溶剂的优点,可以满足实际样品快速检测的需要。     

石化生产装置微量泄漏检测方法及应用

以石化装置为例介绍了生产装置微量泄漏的含义、适用的检测仪器种类以及泄漏检测的具体做法。通过实际检测数据的分析。说明了微量泄漏检测对设备管理、工艺改造的促进作用。     

如何用资料搜索器通过因特网来收集环境保护信息

资料搜索器是因特网中最有用的资源之一 ,了解资料搜索器如何工作以及如何用它们来寻找你所需要的信息是非常重要的 ,本文简要的描述八种资料搜索器以及如何高效的运用它们通过因特网来搜索有关环境保护信息。     

化学修饰电极在环境微量及痕量有机物分析中的应用

根据实验研究及国内外文献,从伏安及电位溶出分析,流动注射/液相色谱电化学检测,化学修饰电极生物传感器及化学修饰电极预富集—石墨炉原子吸收法联用等方面,重点综述了化学修饰电极在环境微量及痕量有机物分析中的应用。     

适配体传感器在抗生素检测中的研究进展

抗生素滥用导致的污染以及耐药菌的出现已成为全球性严重问题,对其进行快速、灵敏、即时检测在生态系统和人类健康保护方面具有重要意义. 而传统的检测方法,耗时长且需要专门的仪器设备,不能满足上述检测要求. 近年来,生物传感器作为一种有效的替代方法已广泛应用于抗生素检测. 其中,以适配体作为分子识别元件的生物传感方法由于具有稳定性高、特异性强、信号传导多样化等优势,而备受关注. 本文系统综述了现有抗生素适配体体外筛选的最新进展,并综述了基于比色、光学、电化学等信号转换模式的适配体传感器,最后对其未来在小分子污染物检测领域的应用进行了展望.     

ISO 14 001 at the farm level: analysis of five methods for evaluating the environmental impact of agricultural practices

Faced with society's increasing expectations, the Common Agricultural Policy (CAP) review considers environmental management to be an ever more critical criterion in the allocation of farm subsidies. With the goal of evaluating the environmental friendliness of farm practices, France's agricultural research and extension services have built a range of agricultural/environmental diagnostic tools over recent years. The objective of the present paper is to compare the five tools most frequently used in France: IDEA, DIAGE, DIALECTE, DIALOGUE and INDIGO. All the tools have the same purpose: evaluation of the impact of farm practices on the environment via indicators and monitoring of farm management practices. When tested on a sample of large-scale farms in Picardie, the five tools sometimes produced completely different results: for a given farm, the most supposedly significant environmental impacts depend on the tool used. These results lead to differing environmental management plans and raise the question of the methods' pertinence. An analysis grid of diagnostic tools aimed at specifying their field of validity, limits and relevance was drawn up. The resulting comparative analysis enables to define each tool's domain of validity and allows to suggest lines of thought for developing more relevant tools for (i) evaluating a farm's environmental performance and (ii) helping farmers to develop a plan for improving practices within the framework of an environmental management system.     

Incorporating low-resolution historic species location data decreases performance of distribution models

Developing robust species distribution models is important as model outputs are increasingly being incorporated into conservation policy and management decisions. A largely overlooked component of model assessment and refinement is whether to include historic species occurrence data in distribution models to increase the data sample size. Data of different temporal provenance often differ in spatial accuracy and precision. We test the effect of inclusion of historic coarse-resolution occurrence data on distribution model outputs for 187 species of birds in Australian tropical savannas. Models using only recent (after 1990), fine-resolution data had significantly higher model performance scores measured with area under the receiver operating characteristic curve (AUC) than models incorporating both fine- and coarse-resolution data. The drop in AUC score is positively correlated with the total area predicted to be suitable for the species (R² = 0.163-0.187, depending on the environmental predictors in the model), as coarser data generally leads to greater predicted areas. The remaining unexplained variation is likely to be due to the covariate errors resulting from resolution mismatch between species records and environmental predictors. We conclude that decisions regarding data use in species distribution models must be conscious of the variation in predictions that mixed-scale datasets might cause.     

三峡库区EFDC模型集成与应用

为满足三峡库区大尺度的水质预测需求,降低专业水质模型使用门槛,实现模型业务化运行,采用涵盖\"模型封装-接口服务-系统集成\"全过程的模型封装集成技术方法,开展了EFDC模型集成研究,并在三峡库区水质安全评估与预警系统中进行验证和应用.结果表明:①基于实例化模型建立的模型预置参数库,是模型业务化运行中参数简化的前提,可有效解决模型本地驯化及模型实例的基础数据复用问题;②依据参数识别结果,将模型参数识别为\"必调参数、可调参数、默认参数\"三类,并采用B/S架构对输入文件、输出文件和主控文件中的不同参数进行分类封装,达到参数简化目的;③采用半紧密型方式建立的基于Web services的EFDC模型集成接口服务及标准,可为信息系统提供通用的EFDC模型计算服务;④该方法在EFDC模型与三峡库区水质安全评估与预警系统集成中得到验证,实现了全库区干流及主要支流COD_Cr、总磷、总氮等污染因子的长时间序列水动力水质预测联机在线运算,满足了用户在水质影响预测预警中低修改量、高运算效率和良好用户体验等需求,实现了模型的业务化运行.      

A critical review of the water quality classification system in Turkey: A case study on Meric Basin

An 11-year period of water quality data, collected by the Directorate of Sate Water Works of Turkey are thoroughly analyzed for the purpose of implementing water quality classes to water resources in the Meric Basin, located on the European land mass of Turkey. Water quality parameters are divided into four groups as physical, organic, inorganic, and bacteriological. The quality class of each group is evaluated by taking into account the poorest quality of any parameter in the group, after which a quality rank is assigned to the sampling station and the waterbody in question. This method of water quality classification imposed by the Turkish Water Quality Act, is then criticized with respect to a statistical approach.     

乌鲁木齐市市民环境意识万人问卷调查报告

为贯彻全国和自治区第４次环保会议精神,了解和提高全市各族群众的环境意识,使环境保护基本国策深入人心,乌鲁木齐市环保局在１９９８年“六·五”世界环境日之际开展了以“关心环境保护,共建美丽首府”为主题的市民环境意识万人问卷活动。由全市７区１县及２个开发区环保局（站）协助,分别在政府机关、厂矿、学校、街头、摊点进行发放问卷活动。调查结果初步摸清了乌鲁木齐市在环境宣传教育中所取得的成效和存在的问题,为今后更好地加强环境宣传教育,普及环境科学知识,提高社会各界环境意识提供了参考信息。