气相色谱-质谱法测定饮用水中消毒副产物卤代腈

采用顶空加盐气相色谱-质谱法检测饮用水中的消毒副产物氯乙腈、二氯乙腈和三氯乙腈,并对样品前处理方法及GC/MS仪器条件进行优化,使得3种卤代腈在5．00μg/L ～80．0μg/L 范围内线性良好,方法检出限分别为2．52μg/L、1．02μg/L和1．57μg/L。空白水样的加标回收率为75．9％～94．1％, RSD为3．6％～6．2％。     

气相色谱-高分辨双聚焦磁质谱测定水中超痕量多氯萘

采用固相萃取法处理水样,气相色谱-高分辨双聚焦磁质谱法测定水中超痕量多氯萘,同位素内标法定量,并对样品前处理条件和仪器条件进行优化。试验表明：方法在0．500 ng/L～500 ng/L范围内线性良好;当取样体积为1 L时,方法检出限为0．005 ng/L～0．01 ng/L;对实际水样进行2个质量浓度水平的加标回收试验,平行测定6次的 RSD为2．7％～8．7％,回收率为70．2％～110％。方法适用性试验表明,水样中复杂的基质对测定无影响。     

全二维气相色谱-飞行时间质谱法分离复杂体系中7种指示剂 多氯联苯

采用全二维气相色谱-飞行时间质谱法(GC×GC TOF-MS)分析了混标样品Aroclor 1260、Aroclor 1254、Aroclor 1242中的多氯联苯(PCBs)单体,考察了在复杂体系下对7种PCBs指示剂的分离能力。结果表明,与优化柱系统的分离效果相比,136种单体的混标样品中共分离出121种单体,7种指示剂经一维和二维的保留时间及质谱定性,在121种单体的2D斑点图中清晰可辨。全二维对于复杂体系的PCBs和指示剂的分离表明其强大的分离能力和对于检测复杂体系中指示剂的分辨能力,对该类物质的定性和定量检测具有重要意义。     

齐齐哈尔市PM2.5与PM10污染趋势及相关性分析

对2014—2016年齐齐哈尔市PM_(2.5)与PM_(10)质量浓度的时间变化特征进行简要分析,并探究PM_(2.5)/PM_(10)以及PM_(2.5)与PM_(10)的相关性。结果表明:2014—2016年齐齐哈尔的PM_(2.5)与PM_(10)的年均质量浓度分别为36.7、62.9μg/m~3,且呈逐渐下降趋势;冬季的PM_(2.5)与PM_(10)浓度最高,秋季次之,春季与夏季相对较低;2014—2016年PM_(2.5)与PM_(10)质量浓度月变化趋势基本相同,整体呈现2—6月逐渐下降,9—11月逐渐上升的规律;PM_(2.5)与PM_(10)质量浓度的日变化均呈双峰现象;对PM_(2.5)与PM_(10)进行线性拟合,相关系数为0.896 3。同时,残差分析也说明两者拟合情况良好,四季相关系数为r_(秋季)(0.982 2)r_(冬季)(0.964 4)r_(夏季)(0.943 9)r_(春季)(0.829 6);2014—2016年PM_(2.5)/PM_(10)平均值为55.27%,大气颗粒物PM_(2.5)的贡献率高达一半以上。     

气相色谱-串联质谱法测定沉积物中多环芳烃

采用ASE法提取沉积物中16种多环芳烃,以固相萃取法净化提取液,用气相色谱-串联质谱法测定。通过优化测定条件,使方法在5.00μg/L~1 600μg/L范围内线性良好,方法检出限为0.15μg/kg~0.66μg/kg。空白石英砂的加标回收率为61.9%~121%,7次测定结果的RSD为2.6%~11.1%。     

自动化前处理-气相色谱串联质谱法测定淡水鱼体中的有机磷阻燃剂

应用自动化前处理设备和气相色谱串联四级杆质谱仪建立了淡水鱼体中10种有机磷阻燃剂的检测方法。该方法先采用自动索氏提取仪进行样品的提取,再应用凝胶渗透色谱净化仪和florisil柱对提取液进行两级净化,最后用气相色谱串联四级杆质谱法(多反应监测模式)对样品中的有机磷阻燃剂(OPFRs)定性定量。实验表明,凝胶渗透色谱净化系统在以乙酸乙酯∶环己烷(1∶1,V/V)为流动相,流速为5.0 m L·min-1的条件下,收集OPFRs的最佳时间为900~1 680 s;方法的检出限为0.002~0.192 ng·g~(-1)湿重,加标水平为5.000 ng·g~(-1)湿重时,平均加标回收率为48.7%~122%,相对偏差除磷酸三乙酯(TEP)(17.7%)和磷酸三(1,3-二氯异丙基)酯(TDCP)(11.9%)外均小于10%。应用该方法测定采集于东江某污水处理厂入河排污口的鱼类样品时,回收率指示物(d27-TBP)的回收率为82.4%~114%,鱼类样品中∑OPFRs的浓度范围为nd~6.41 ng·g~(-1)湿重。     

Risk Assessment of 26 Polycyclic Aromatic Hydrocarbon (PAH) Compounds in Parkıng Garages

The aim of this study was to determine the level of 26 polycyclic aromatic hydrocarbons (PAHs) at parking garages and to provide the necessary annual information based on occupational inhalation exposure and non-occupational inhalation exposure, which carry risks for the environment. For this purpose, 22 samples were collected continuously from both gas and particulates phase PAHs from two parking garages at Konya City Center, Turkey. The exposure-based risk of these samples was evaluated using concentrations of the carcinogenic PAH compounds. None of the 26 PAHs measured had values exceeding the recommended exposure limits (RELs) standard values for inhalation rate recommended by the World Health Organization (WHO). Exposure levels of gas and particulate PAHs for the occupational group and the public (children and adults who spend time in shopping centers) were found to be 0.07–28.24 μgm^?3 and 0.05–5.753 μgm^?3, respectively, representing levels two to four times higher than those at the control site. Maximum daily inhalation of B[a]Py was estimated at 1.33 ngd^?1 for exposure of the public and as 274 ngd^?1 for the occupational group. It is believed that traffic makes a substantial contribution to the PAH profile, which had relatively high concentrations of naphthalene (Napth) and coronene (Coro). Highly carcinogenic dibenzo(a,l)pyrene (B[al]Pyre) was found in the ambient air at two parking garages. Napth and phenanthrene (Phen) were the main compounds found in nearly all the tested samples. In this study, benzo[e]pyrene (B[e]Py) was used as a reference for PAHs because its concentration is stable and does not change seasonally. Considering the importance of these compounds in relation to human health, the aim of this work was to characterize and quantify the more toxic PAHs in parking garages. Conducting PAH sampling and their chemical analysis is very costly and labor intensive. This study produced data that can be a powerful tool for environmental forensics.     

Corynebacterium glutamicum as an indicator for environmental cobalt and silver stress–A proteome analysis

Cobalt and silver are toxic for cells, but mechanisms of this toxicity are largely unknown. Analysis of Corynebacterium glutamicum proteome from cells grown in control and cobalt or silver enriched media was performed by two dimensional gel electrophoresis (2DE) followed by mass spectrometry. Our results indicate that the cell adapted to cobalt stress by inducing five defense mechanisms: Scavenging of free radicals, promotion of the generation of energy, reparation of DNA, reparation and biogenesis of Fe-S cluster proteins and supporting and reparation of cell wall. In response to the detoxification of Ag⁺ many proteins were up-regulated, which involved reparation of damaged DNA, minimizing the toxic effect of reactive oxygen species (ROS) and energy generation. Overexpression of proteins involved in cell wall biosynthesis (1,4-alpha-glucan branching enzyme and nucleoside-diphosphate-sugar epimerase) upon cobalt stress and induction of proteins involved in energy metabolism (2-methylcitrate dehydratase and 1, 2-methylcitrate synthase) upon silver demonstrate the potential of these enzymes as biomarkers of sub-lethal Ag⁺ and Co toxicity.     

Contributions to ecological chemistry CXII balance of conversion of buturon‐14C in wheat under outdoor conditions 1

Abstract

The urea herbicide buturon (N‐[p‐chlorophenyl] ‐N’ ‐methyl‐N’ ‐isobutinyl‐urea), ¹⁴C‐labeled, was sprayed on winter wheat as an aqueous formulation (2.98 kg/ha) under outdoor conditions. Upon harvest (three months after application), a total of 49. 2% of the applied radiocarbon was recovered: 2.0% in the plants, 46.9% in the soil, and 0.3% in the leaching water (depth > 50 cm); less than 0.1% was in the grains (0.464 ppm). Only about half of the radioactivity present in plants could be recovered under mild extraction conditions; about half of this was unchanged buturon. In straw and husk extracts, the following metabolites were identified by gaschromatography/mass spectrometry: N‐(p‐chlorophenyl)‐N‐methyl‐O‐methyl‐carbamate (metabolite I), N‐phenyl‐N’ ‐formyl‐urea (metabolite II), two unstable metabolites giving (p‐chlorophenyl)‐isocyanate upon purification (metabolites III and IV), N‐(p‐chlorophenyl)‐N’ ‐methyl‐N’ ‐isobutenylol‐urea (metabolite V), p‐chloroformanilide (metabolite VI) and biologically bound p‐chloroaniline (metabolite VII). In the root and basal stem extract, the following metabolites were identified by gas chromatography/mass spectrometry: N‐(p‐chlorophenyl)‐O‐methyl‐carbamate (metabolite VIII) and N‐(p‐chlorophenyl)‐N’ ‐methyl‐urea (metabolite IX).     

Prediction of Streamflow Regime and Annual Runoff for Ungauged Basins Using a Distributed Monthly Water Balance Model1

Moore, R.D. (Dan), J.W. Trubilowicz, and J.M. Buttle, 2011. Prediction of Streamflow Regime and Annual Runoff for Ungauged Basins Using a Distributed Monthly Water Balance Model. Journal of the American Water Resources Association (JAWRA) 48(1): 32‐42. DOI: 10.1111/j.1752‐1688.2011.00595.x Abstract: Prediction of streamflow in ungauged basins is a global challenge, but is particularly an issue in physiographically complex regions like British Columbia (BC), Canada. The objective of this study was to assess the accuracy of a simple water balance model that can be run using existing spatial datasets. The model was developed by modifying an existing monthly water balance model to account for interception loss from forest canopy, glacier melt, and evaporation from lakes. The model was run using monthly climate normals from the ClimateBC application, which have a horizontal resolution of 400 m. Each ClimateBC grid cell was classified as forest, open land, glacier or water surface based on provincial scale digital maps of biogeoclimatic zones, glaciers, and water. The output was monthly mean runoff from each grid cell. These values were integrated within the catchment boundaries for streams gauged by the Water Survey of Canada. Annual runoff was predicted with modest accuracy: after updating the predicted runoff by interpolating errors from neighboring gauged streams, the mean absolute error was 25.4% of the gauged value, and 52% of the streams had errors less than 20%. However, the model appears to be quite robust in distinguishing between pluvial, hybrid, and melt‐dominated hydroclimatic regimes, and therefore has promise as a tool for catchment classification.