气相色谱法测定废水和废气中N′,N-二甲基甲酰胺

以气相色谱石英毛细管柱分离、ＦＩＤ检测,测定废水和废气中Ｎ′,Ｎ－二甲基甲酰胺（ＤＭＦ）。在１０ｍｇ／Ｌ～１８８１０ｍｇ／Ｌ范围内有良好的线性关系。检测限：废水为０５ｍｇ／Ｌ;废气为０８ｍｇ／ｍ３。样品测定的相对标准差为４％～８％,回收率在７６％～１１２％之间,精密度和准确度均较好     

Protection of ash (Fraxinus excelsior) trees from ozone injury by ethylenediurea (EDU): roles of biochemical changes and decreased stomatal conductance in enhancement of growth

Treatments with ethylenediurea (EDU) protect plants from ozone foliar injury, but the processes underlying this protection are poorly understood. Adult ash trees (Fraxinus excelsior), with or without foliar ozone symptoms in previous years, were treated with EDU at 450ppm by gravitational trunk infusion in May-September 2005 (32.5ppmh AOT40). At 30-day intervals, shoot growth, gas exchange, chlorophyll a fluorescence, and water potential were determined. In September, several biochemical parameters were measured. The protective influence of EDU was supported by enhancement in the number of leaflets. EDU did not contribute its nitrogen to leaf tissue as a fertiliser, as determined from lack of difference in foliar N between treatments. Both biochemical (increase in ascorbate-peroxidase and ascorbic acid, and decrease in apoplastic hydrogen peroxide) and biophysical (decrease in stomatal conductance) processes regulated EDU action. As total ascorbic acid increased only in the asymptomatic trees, its role in alleviating O(3) effects on leaf growth and visible injury is controversial.     

基于快速消解的海洋沉积物重金属ICP-MS测定条件优化

准确测定海洋沉积物中重金属元素的含量,是开展海洋生态环境评价与管理的基础。比较研究了当前生态环境监测领域几种主要的检测标准方法和近年热门的土壤快速消解法对海洋沉积物中重金属的检测效果。通过研究不同消解体系、消解压力、校准溶液配制方法以及内标元素、内标浓度等条件对海洋沉积物重金属测定效果的影响,优化了海洋沉积物样品的快速消解过程和测定条件。结果表明:优化后的快速消解方法针对Cr、Ni、Cu、Zn、Cd和Pb的方法检出限为0.004~0.8 mg/kg,测定下限为0.016~3.2 mg/kg,回收率为95.4%~109.2%,相对标准偏差为0%~3.22%,方法准确可靠、快速高效,满足海洋沉积物样品(尤其是大批量样品)的重金属测试需求。     

固相萃取气相色谱法测定地表水中有机磷农药

建立了固相萃取(SPE)气相色谱火焰光度(GC-FPD)检测方法,并且检测了地表水中8种有机磷农药,检测限在0.09～0.26μg/L之间,相对标准偏差为3.1%～9.7%(n=8),加标回收率达到61.3%～103.2%,与传统的气相色谱法相比,该方法具有比较高的重现性和选择性,在地表水有机磷农药的测定中具有很好的应用前景.     

超高效液相色谱-串联质谱法同时分析地下水中24种内分泌干扰物

建立了基于超高效液相色谱-串联质谱法同时测定地下水中9种雌激素、5种雄激素、3种肾上腺皮质激素、4种酚类和3种非甾类激素共24种内分泌干扰物的方法。在活化后的MCX固相萃取柱中加入水样,再加入pH=5的水溶液淋洗,随后用碱化乙腈(4.5%,体积分数)洗脱。收集洗脱液并用氮气吹至近干后,用甲醇定容。采用Poroshell 120 Bonus-RP色谱柱(2.7 μm,100 mm×2.1 mm),以0.1%氨水溶液-乙腈为流动相进行梯度洗脱,实现液相分离。质谱检测采用MRM模式进行采集,通过正负离子模式切换同时进行测定,使用内标法定量。检测结果显示,目标物在线性范围内,决定系数R²均大于0.995,方法检出限为0.05~2.00 ng/L,加标回收率为68.8%~108%。该方法灵敏度高、准确度好,具有较强的实用价值。     

水环境中26种类固醇激素的分析方法研究

建立了固相萃取-超高效液相-串联质谱法同时测定水环境中26种类固醇激素的分析方法。明确了取样体积为500 m L,Cleanert PEP为富集柱,乙酸乙酯为洗脱剂,甲醇为溶剂进行提取操作。选择了正离子模式,以0. 1%甲酸/甲醇-水为流动相,负离子模式以0. 1%氨水/乙腈-水为流动相,试样经AcquityTMUPLC BEH C18色谱柱分离后,选用质谱检测模式进行定性、定量分析。通过方法验证,26种类固醇激素的方法检出限为0. 3～1. 5 ng/L,测定下限为1. 2～6. 0 ng/L,代表性样品测定结果的相对标准偏差为2. 6%～13. 7%(n=6),加标回收率为71. 2%～121%。该方法操作便捷,灵敏度高,精密度和准确度良好,可适用于水环境中多种痕量、超痕量类固醇激素的定性定量分析。     

混合酸消解变化对土壤和沉积物中痕量硒分析影响

基于各3种采集环境样本、国家标准物质的土壤和沉积物,以当前环境监测行业常用的3种消解方法,探讨20种混合酸系统条件在消解条件变化中对复杂样本硒元素测定的影响.确定了最佳土壤和沉积物消解的组合为王水系统(盐酸∶硝酸∶氢氟酸∶过氧化氢∶高氯酸=3∶1∶1∶1∶1),各消解法的处理结果部分(n=5):水浴法消解时间仅需0.5...     

地表水中微量氯代芳烃和硝基取代芳烃化合物的分析方法

建立了固相萃取、毛细管气相色谱-电子捕获检测、内标标准曲线法定量分析地表水中十三种氯苯、硝基氯苯和硝基苯类化合物的方法.该法对这些化合物的平均回收率在62%-101%之间,变异系数在3%-27%之间,方法最小检测浓度在0.01-1.31μg·1-1之间.应用本方法对太湖水中的氯代芳烃和硝基取代芳烃化合物进行了三次采样分析,定量重现性较好.     

土壤中有机氯农药的多残留分析技术

本文建立了超声波提取 ,硅胶SPE柱净化 ,GC μECD检测土壤中α HCH ,β HCH ,γ HCH ,δ HCH ,HCB ,o p′ DDE ,aES,p p′ DDE ,Diel,Endrin ,p p′ DDD ,o p′ DDT ,p p′ DDT含量的方法 .对提取剂、洗脱剂和前处理步骤优化的结果表明 :体积比为 1∶2的丙酮 /石油醚是较好的提取剂和洗脱剂 ,方法加标回收率在 70 %— 1 1 0 %之间 ,检测限为0 0 5— 1ng·g- 1 .     

Discovery of emerging organic pollutants in the atmosphere through an omics approach

● We review the framework of discovering emerging pollutants through an omics approach. ● High-resolution MS can digitalize atmospheric samples to full-component data. ● Chemical features and databases can help to translate untargeted data to compounds. ● Biological effect-directed untargeted analyses consider both existence and toxicity. Ambient air pollution, containing numerous known and hitherto unknown compounds, is a major risk factor for public health. The discovery of harmful components is the prerequisite for pollution control; however, this raises a great challenge on recognizing previously unknown species. Here we systematically review the analytical techniques on air pollution in the framework of an omics approach, with a brief introduction on sample preparation and analysis, and in more detail, compounds prioritization and identification. Through high-resolution mass spectrometry (HRMS, typically coupled with chromatography), the complicated environmental matrix can be digitalized into “full-component” data. A key step to discover emerging compounds is the prioritization of compounds from massive data. Chemical fingerprints, suspect lists and biological effects are the most vital untargeted strategies for comprehensively screening critical and hazardous substances. Afterward, compressed data of compounds can be identified at various confidence levels according to exact mass and the derived molecular formula, MS libraries, and authentic standards. Such an omics approach on full-component data provides a paradigm for discovering emerging air pollutants; nonetheless, new technological advancements of instruments and databases are warranted for further tracking the environmental behaviors, hence to evaluate the health risk of key pollutants.