农药的内分泌干扰研究

环境污染物引起的内分泌干扰成为全球性环境问题之一.本文介绍了内分泌干扰物的检测方法.并从除草剂、杀虫剂、杀菌剂等三个方面介绍了农药所引起的内分泌干扰现象.在此基础上,简介手性农药内分泌干扰问题的重要性和研究现状,并进行展望.     

直接竞争实时荧光定量免疫PCR法测定环境样品中的多溴联苯

多溴联苯(PBBs)作为一种优良的阻燃剂被添加于各种塑料制品和电子产品中,在此类产品后处置过程中PBBs成为一类新的有机污染物流入环境.由于具有与多氯联苯类似的化学结构和难降解毒理特性,现在被很多国家限制使用.对已进入环境中的微量PBBs,建立简便、灵敏的检测方法对于其在环境中的分布调查研究和迁移变化追踪具有重要的实际意义.实时荧光定量免疫-PCR(real-time immuno-PCR,rt-IPCR)是一种高灵敏度的免疫监测方法.但是,rt-IPCR技术在环境污染物检测中的应用实例不多,本课题组曾采用此方法对环境中的多氯联苯、多环芳烃等污染物进行了测定,然而,     

墨西哥在一个区域合作的框架之内成功消除氯丹

一组众所周知的化学药品已被划分为持久性有机污染物(POPs)1.它们的性质包括高毒性、在环境中保留时间长、在大气中可长距离传播和能在脂肪组织中累积.与持久性有机污染物直接接触可以导致急性效应、持久性有机污染物用作农药的事故,例如,已经有使农业劳动者致死或重病的例子.     

墨西哥在一个区域合作的框架之内成功消除氯丹

一组众所周知的化学药品已被划分为持久性有机污染物(POPs)1.它们的性质包括高毒性、在环境中保留时间长、在大气中可长距离传播和能在脂肪组织中累积.与持久性有机污染物直接接触可以导致急性效应、持久性有机污染物用作农药的事故,例如,已经有使农业劳动者致死或重病的例子.……     

臭氧和基于臭氧的高级氧化工艺降解农药的研究进展

由于农药的环境持久性以及毒性,饮用水源中的农药微污染日益受到水处理行业的关注.在众多水处理工艺中,由于其高效氧化去除有机污染物及控制嗅味等特点,臭氧及其相关高级氧化技术的应用已日趋广泛.本文综述了这些氧化技术对多类代表性农药（包括有机氯、有机磷、氨基甲酸酯、氯乙酰胺和三嗪等）的降解效能,详细讨论了农药的降解效率、反应动...     

分光光度法、荧光分光光度法测定敌敌畏等农药的研究

本文报道了敌敌畏、磷胺、久效磷等磷酸烯脂类农药在过硼酸钠存在下,可氧化胺类生成有色或有荧光的产物。由此,建立了定量测定这类农药的方法,即分光光度法和荧光分光光度法。两方法的线性检测范围很宽,灵敏度高、测定步骤也较简单。利用这两种检测方法,可定性定量检测这类农药。     

墨西哥在一个区域合作的框架之内成功消除氯丹

一组众所周知的化学药品已被划分为持久性有机污染物(PO Ps)1.它们的性质包括高毒性、在环境中保留时间长、在大气中可长距离传播和能在脂肪组织中累积.与持久性有机污染物直接接触可以导致急性效应、持久性有机污染物用作农药的事故,例如,已经有使农业劳动者致死或重病的例子.氯丹是被分类为持久性有机污染物的一种农药,过去广泛地用于控制农作物和森林的虫害.它也应用于家庭和工业,包括木材和木制品的白蚁防治.它被标明是一种可能的人类致癌物质.大剂量的氯丹能够破坏神经系统或肝脏.人们还发现氯丹也影响内分泌系统和消化系统.它能引起…     

两种生态型蚯蚓生物强化土壤DDT的去除和降解

滴滴涕（DDT）曾作为有机氯农药被广泛应用,是典型的持久性有机污染物.鉴于DDT难降解性、广谱毒性和生物累积性,很多国家已相继禁用,但其在环境和生物样品中仍被广泛检出,DDT污染已直接影响世界粮食生产安全和农业生态健康.     

农药的免疫毒性研究

人体免疫系统功能紊乱引起的疾病数量不断增加,这些疾病中很大一部分是由于人体长期暴露于环境中的各种污染物所引起的.农药即属于可以引起免疫系统损害或免疫应答异常的一类污染物.论文介绍了农药免疫毒性的概念,免疫毒性的检验方法,农药与免疫应答,农药对水生动物、陆生动物、哺乳动物以及人类免疫系统在体液免疫、细胞免疫、非特异性免疫等方面的影响.在此基础上,简要介绍了手性农药免疫毒性问题的重要性和研究现状,并进行了展望.     

利用OasisTMHLB固相提取小柱提取环境中的内分泌分裂剂(Endocrine Disruptors)

OasisTM HLB固相提取小柱在环境分析方面已获得了广泛的应用.小柱可以对不同类别的各种农药残留物质或环境污染物进行高效提取,包括酸性除草剂及代谢物(如:2 ,4-D,trifluralin等)、三嗪类除草剂及代谢物(如:atrazine等)、磺酰脲素类除草剂( 如:thifensulfuron methyl)、苯氧酸类农药、取代酚类农药(如:trichlorophenol)、乙酰胺类除草剂及代谢物(如:alachlor,metolachlor等)、有机磷类杀虫剂(如:acephate)及多环芳烃(如:phenathrene)等环境污染物.     

Evaluation of pesticides multiresidue contamination of khat leaves from Jazan region,Kingdome Saudi Arabia,using solid-phase extraction – gas chromatography/mass spectrometry

The habit of khat chewing is widespread with a deep-rooted sociocultural tradition in these regions and as such poses a public health problem. The use of pesticides is considered to be indispensable practice for the production of adequate food supply for the increasing demands by the global population and for control of insect-borne diseases. Thus, contamination of the environment with pesticides and entry of these chemicals into the food chain is unavoidable especially in developing countries. The main objective of our current study was to assess pesticide pollution of khat leaves (unknown origin) obtained while being smuggled into the Kingdom of Saudi Arabia and to be used in Jazan area. A total of 120 khat leaf samples were extracted using solid-phase extraction followed by gas chromatography/mass spectrometry analysis for the presence of 69 standard pesticides using an internal standard, tiphenyl phosphate. No pesticide residues were detected in all the studied samples. These data as preliminary and more experiments need to be performed to confirm our present findings. Routine monitoring of the pesticide residues is important for the prevention, control, and reduction of environmental pollution and also for legal decisions to minimize health risks.     

A cellphone-based colorimetric multi-channel sensor for water environmental monitoring

● A cellphone-based colorimetric multi-channel sensor for in-field detection. ● A universal colorimetric detection platform in the absorbance range of 400–700 nm. ● Six-fold improvement of sensitivity by introducing a transmission grating. ● Quantifying multiple water quality indexes simultaneously with high stability. The development of colorimetric analysis technologies for the commercial cellphone platform has attracted great attention in environmental monitoring due to the low cost, high versatility, easy miniaturization, and widespread ownership of cellphones. This work demonstrates a cellphone-based colorimetric multi-channel sensor for quantifying multiple environmental contaminants simultaneously with high sensitivity and stability. To improve the sensitivity of the sensor, a delicate optical path system was created by using a diffraction grating to split six white beams transmitting through the multiple colored samples, which allows the cellphone CMOS camera to capture the diffracted light for image analysis. The proposed sensor is a universal colorimetric detection platform for a variety of environmental contaminants with the colorimetry assay in the range of 400–700 nm. By introducing the diffraction grating for splitting light, the sensitivity was improved by over six folds compared with a system that directly photographed transmitted light. As a successful proof-of-concept, the sensor was used to detect turbidity, orthophosphate, ammonia nitrogen and three heavy metals simultaneously with high sensitivity (turbidity: detection limit of 1.3 NTU, linear range of 5–400 NTU; ammonia nitrogen: 0.014 mg/L, 0.05–5 mg/L; orthophosphate: 0.028 mg/L, 0.1–10 mg/L; Cr (VI): 0.0069 mg/L, 0.01–0.5 mg/L; Fe: 0.025 mg/L, 0.1–2 mg/L; Zn: 0.032 mg/L, 0.05–2 mg/L) and reliability (relative standard deviations of six parallel measurements of 0.37%–1.60% and recoveries of 95.5%–106.0% in surface water). The miniature sensor demonstrated in-field sensing ability in environmental monitoring, which can be extended to point-of-care diagnosis and food safety control.     

Fluorescence detection of phosphate in an aqueous environment by an aluminum-based metal-organic framework with amido functionalized ligands

● A novel Al-MOF was successfully synthesized by a facile solvothermal method. ● Al-MOF showed superior performance for phosphate detection. ● High selectivity and anti-interference for detection were demonstrated. ● The high coordination between Al-O and PO₄³⁻ was the key in fluorescence sensing. The on-site monitoring of phosphate is important for environmental management. Conventional phosphate detection methods are not appropriate to on-site monitoring owing to the use of complicated detection procedures, and the consequent high cost and maintenance requirements of the detection apparatus. Here, a highly sensitive fluorescence-based method for phosphate detection with a wide detection range was developed based on a luminescent aluminum-based metal-organic framework (Al-MOF). The Al-MOF was prepared by introducing amine functional groups to conventional MIL to enhance phosphate binding, and exhibited excellent fluorescence properties that originated from the ligand-to-metal charge transfer (LMCT). The detection limit was as low as 3.25 μmol/L (0.10 mg/L) and the detection range was as wide as 3–350 μmol/L (0.10–10.85 mg/L). Moreover, Al-MOF displayed specific recognition toward phosphate over most anions and metal cations, even for a high concentration of the co-existent ions. The mechanism of phosphate detection was analyzed through the characterization of the combination of Al-MOF and phosphate, and the results indicated the high affinity between Al-O and phosphate inhibited that the LMCT process and recovered the intrinsic fluorescence of NH₂-H₂BDC. The recovery of the developed detection method reached a satisfactory range of 85.1%–111.0%, and the feasibility of on-site phosphate detection was verified using a prototype sensor for tap water and lake water samples. It was demonstrated that the prepared Al-MOF is highly promising for on-site detection of phosphate in an aqueous environment.     

超声辅助乳化液相微萃取分析绿茶饮料和番茄汁中有机磷农药残留

农药施用于田间,必然会残留于环境中。农药残留的分析方法多种多样。为探究灵敏度高、重现性好的样品前处理方法,建立了超声辅助乳化液相微萃取,结合气相色谱和火焰光度检测器测定绿茶饮料和番茄汁中5种有机磷农药的方法,对萃取条件进行了优化,如萃取溶剂种类和体积、超声频率和时间、盐效应。在优化后的萃取条件下,5种有机磷农药实现良好分离,空白添加实验结果表明在0.1~10μg·L-1之间,线性相关系数在0.9985~0.9994之间,检测限在0.005~0.020μg·L-1之间,相对标准偏差(n=5)在4.3%~9.4%之间。在绿茶饮料和番茄汁实际样本检测中,目标分析物含量均低于检出限。样本添加回收试验的回收率均大于88.5%,相对标准偏差(n=3)在2.2%~9.8%之间,结果表明该方法用于液体样本中农药残留检测真实可靠。     

加强农药的环境管理刻不容缓

介绍和分析了农药对我国生态环境污染与危害的现状。指出造成我国农药环境污染严重的重要原因是缺乏必要的环境监督管理 ,研究制定出符合我国国情的农药污染控制政策与措施已经刻不容缓     

蔬菜中有机磷农药残留的发光菌快速检测

本文建立了一种用发光细菌快速检测蔬菜中有机磷农药残留的方法，以３％ＮａＣｌ（Ｗ／Ｖ）溶液从蔬菜中洗涤出残留的农药，加入定量发光菌溶液，通过其发光量的变化来检测农药的含量。分析了发光菌对蔬菜中六种有机磷农药的响应情况，探讨了检测空心菜中甲胺磷农药残留的最佳参数，实验表明，新建立的方法是检测蔬菜中有机磷农药残留的一种快速有效，价廉的方法。     

Environmental degradation of atrazine,linuron and fenitrothion in soil samples

The persistence of atrazine, linuron and fenitrothion in soil samples from an estuarine area (Ebro delta, Tarragona, Spain) has been studied. Soil samples from the top surface (10 cm) were collected during 1989–91, freeze‐dried, sieved through 200 μm, Soxhlet extracted with methanol, cleaned‐up with Florisil and analysed either by gas chromatography‐nitrogen phosphorus detection (GC‐NPD), in the case of atrazine and fenitrothion, or by liquid chromatography with diode array detection (LC‐DAD), for linuron. Confirmation of the samples analysed by GC‐NPD was carried out using GC‐mass spectrometric detection (MS) in the electron impact mode. The soil half lives obtained under the real environmental conditions have been calculated and the values obtained have been correlated with the physicochemical properties of each pesticide and the soil type. Degradation was affected by volatilization since temperatures in the area of study are relatively high, ca. 30°C, in the summer period. In the case of atrazine it has been shown that deethylatrazine is formed in all the samples studied..     

珠三角地区POPs农药的污染现状及控制对策

概述了中国及国际社会对持久性有机污染物（Persistent Organic Pollutants,POPs）的关注情况。并通过对POPs农药在珠江三角洲地区（Pearl River Delta Area,PRD）使用情况的调查，以及对珠江三角洲地区POPs农药在各环境介质中的污染现状的文献综述，结合环境污染数据以及POPs农药污染调查工作中得到的数据和信息，对该地区POPs污染的可能原因和环境中可能存在的新近污染源进行了初步探讨。同时也指出了当前珠江三角洲地区在POPs农药削减与淘汰工作中所遭遇到的缺乏完善的管理体系等困难，并针对问题提出了包括加大科研投入，加强基础研究，掌握污染物来源和去向，加强替代药物的研究，建立和实施更严格的环境法规以及标准，加强环境监测能力建设，建立POPs农药污染的信息公开机制等一系列的控制对策。     

Monitoring and modeling pesticide fate in surface waters at the catchment scale

In this paper, a state-of-the-art is given of the current knowledge related to the occurrence and sources of pesticides in surface waters. An emphasis is put on sources and transport routes that contribute most to the pesticide loads found in river systems. Possible mitigation measures are described. Once pesticides have entered a river system, they are exposed to different physical, chemical and microbial processes which determine their fate. As mathematical models can describe the fate of pesticides in river systems and can be used for the control of environmental pollution and management of resources, an overview is given of available watershed and in-river water quality models able to predict pesticide concentrations in surface waters. Advantages and disadvantages of simple screening tools and complex watershed models are discussed. Finally, some recommendations are made concerning monitoring, modeling and their combined use in order to achieve the water quality goals set by the EU Water Framework Directive.     

极性有机物整合采样技术在监测水环境中农药的应用

明确水环境中农残的污染状况对研究其环境行为和生态风险至关重要。传统主动采样法耗能、耗力且单次采样仅获得瞬时浓度值。被动采样节能、方便且为时间加权平均浓度,利于大规模采样。极性有机物整合采样技术(polar organic chemical integrative sampler,POCIS)是针对极性有机物的被动采样技术,近年来在水环境中农药监测的运用越来越广泛。本文概述了POCIS结构、原理和校正方法,探讨了环境因素(如水流速率、温度、p H、溶解性有机质、盐度和膜污染)、化合物性质及POCIS结构对农药采样速率(Rs)的影响。此外,综述了POCIS在监测水环境中农药的应用,展望了POCIS在该领域中的问题、解决方式及前景。