Ultra trace simultaneous determination of 50 polycyclic aromatic hydrocarbons in biota using pMRM GC-MS/MS

Abstract

A saponification extraction method with gas chromatography pseudo-MRM (pMRM) mass spectrometry detection was developed for the determination of 50 total polycyclic aromatic hydrocarbons (TPAH50, a combination of parent and alkylated homologues) in biota. The method was aimed at monitoring and identification of potential TPAH contaminants in bitumen impacted environments. Alkylated PAHs were determined by multi-level, quantitative calibration using parent PAHs. The developed and thoroughly validated method required only one injection for TPAH50 analysis which represents significant saving of time and expensive authentic alkylated standards. The current method was tested with certified reference mussel tissue NIST 1974c and performed well. In a comparison study, the method reached a limit of quantitation (LOQ) for the TPAH50 between 0.1 and 0.2?ng g^?1, while the QuEChERs enhanced matrix removal – lipid (EMR) kit produced by Agilent showed an LOQ of 5–10?ng g^?1. The current method relied on response factors (RF) for the quantitation of alkylated PAHs determined against parent PAHs. These RFs were shown to be stable and consistent over the course of 1 year, during which over 200 routine environmental biota monitoring samples were analyzed. The environmental biota monitoring samples analyzed include muscle, carcass and liver, with an average total PAH50 concentration of 13, 90 and 135?ng g^?1, respectively. Results show significant differences in the distributions of 1 ringed, 2 ringed, 3 ringed, 4 ringed, and 5+ ringed TPAHs between the types of biota samples.     

Characterization of humic substances of different origin by means of mass spectrometry and neural networks

Mass spectrometry fingerprinting of humic acids extracted from different soils has been carried out using laser desorption/ionization mass spectrometry (LDI-TOF MS). LDI-TOF MS provides characteristic mass spectra fingerprints for the humic acids of different origin. The information given in the fingerprints was evaluated for natural grouping trends in the samples by neural networks computing tools, such as self-organizing feature map (SOFM). This approach is efficient for recognizing patterns in the humic acids samples independently of their characteristic variability; variability characterizing natural products such as humic substances. The use of multi-layer perceptron artificial neural networks gave a successful classification of the samples.     

Determination of particulate polycyclic aromatic hydrocarbons in ambient air by gas chromatography-mass spectrometry after molecularly imprinted polymer extraction

A solid phase extraction procedure (SPE) is described for the quantitative analysis of polycyclic aromatic hydrocarbons (PAHs) in atmospheric particulate matter (PM), as ubiquitous environmental pollutants routinely measured in air quality monitoring. A SPE cartridge was used based on a molecular imprinted polymer (MIP-SPE) properly tailored for selective retention of PAHs with 4 and more benzene fused rings. The performance of the clean-up procedure was evaluated with the specific concern of selective purification towards saturated hydrocarbons, which are the PM components mostly interfering GC analysis of target PAHs. Under optimized operative conditions, the MIP-SPE provided analyte recovery close to 95% for heavier PAHs, from benzo(α)pyrene to benzo(ghi)perylene, and close to 90% for four benzene rings PAHs, with good reproducibility (RSDs: 2.5%-5.9%). Otherwise, C₁₇-C₃₂ n-alkanes were nearly completely removed. The proposed method was critically compared with Solid Phase Micro Extraction (SPME) using a polyacrylate fiber. Both methods were successfully applied to the analysis of ambient PM_2.5 samples collected at an urban polluted site. Between the two procedures, the MIP-SPE provided the highest recovery (R% ≥ 93%) for PAHs with 5 and more benzene rings, but lower for lighter PAHs. In contrast, SPME showed a mean acceptable R% value (∼ 80%) for all the investigated PAHs, except for the heaviest PAHs in the most polluted samples (R%: 110%-138%), suggesting an incomplete purification from the interfering n-hydrocarbons.     

城市自来水光催化氧化深度净化效果

在玻璃纤维网上制得ＴｉＯ２催化膜．用相应的固定膜光催化氧化装置进行了城市自来水的深度净化研究．ＧＣ／ＭＳ分析表明，在水中输入能量８７Ｗ／Ｌ的低光照强度下，经１ｈ的处理，自来水中有机物总量去除率在６０％以上．１９种优先污染物有５种消失，另２１种有害物质中１０种浓度降至仪器检测限以下．与此同时，水中各种有机物的浓度均显著下降．中间产物中基本不含有害的物质．光催化氧化对城市自来水中有机污染物有令人满意的去除效果．     

气提式三重循环生物膜反应器处理制药废水中的甾体雌激素

为验证气提式三重循环生物膜反应器处理甾体雌激素的效能,建立了一套SPE/HPLC/MS/MS分析方法,对反应器进、出水中的甾体雌激素--甾酮(E1),17β-雌二醇(E2),雌三醇(E3)以及17α-乙炔基雌二醇(EE2)进行检测.该方法的加标回收率为88%～103%,精密度为4%～9%.该方法对E1,E2,E3和EE2的进水定量限(LOQ)分别为0.7,0.8,0.9和0.5 ng/L;对出水的定量限分别为2.0,1.0,2.0和 1.0 ng/L.CODCr和氨氮容积负荷最高为7.5和1.6 kg/(m3·d),出水依然能够保持稳定.进水pH稳定在9.0～10.5,而反应器的pH一直稳定在9.0以下,体系对pH变化造成的冲击比较适应.同时,反应器内形成了稳定的NO2--N积累,CODCr和氨氮的去除率分别达到了70%和73%.     

固相萃取-LC-MS法检测水中痕量雌激素

研究了乙腈 /水、乙腈 /甲醇 /水、甲醇 /水三种不同流动相的条件下 ,LC MS分析雌酮 ,雌二醇 ,雌三醇 ,炔雌醇四种对象物质的灵敏度 ,发现流动相对灵敏度影响较大 ,不同流动相的对象物质的仪器检出限分别为 :330— 75 0ng·l- 1 ,1 0 0— 30 0ng·l- 1 ,5 0— 1 0 0ng·l- 1 .用固相萃取 LC MS检测杭州地区河水 ,在 8个采样点中 ,有 7个检测出了炔雌醇 ,其浓度范围在 1 1 7— 3 35ng·l- 1 之间 ,一个采样点检测出雌二醇 ,其浓度为 0 32ng·l- 1 .     

电感耦合等离子体-质谱法研究大气颗粒物中元素浓度

1　IntroductionAirborneparticulatematterisoneoftheimportantmarkersofairqualityandisanimportanthealthconcerninurbanareas,especiallywithrespecttoanumberofchronicrespiratorydiseases.Medicaldatasuggeststhatitisthisfractionofparticulatematterthatbecomesdeeplyi…     

水中微量弱极性内分泌干扰物测定方法的研究

使用ENVITM Chrom P固相萃取小柱、双(三甲基硅烷基)三氟乙酰胺(BSTFA)衍生剂及气质联机,系统研究了水中弱极性内分泌干扰物(EDCs)的测定方法.通过正交试验,得到最佳固相萃取条件为:水样流速5 mL/min,洗脱剂为二氯甲烷,洗脱速率0.5 mL/min,洗脱剂体积6 mL.最佳衍生化条件为:BSTFA 100 μL,60 ℃,反应时间30 min.结果表明,双酚A、五氯酚、2,4-二氯苯酚、4-壬基酚、雌二醇、雌三醇、雌酮、炔雌二醇的回收率在82.4%～101.9%,检出限为0.01～0.06 μg/L.     

Analysis of dioxins and furans in environmental samples by GC-ion-trap MS/MS

The work aims to characterise PCDDs/Fs in environmental matrices by high resolution gas chromatography coupled to low resolution quadrupole ion-trap mass spectrometry (GC-QITMS/MS). In particular, the study was mainly focused in different environmental samples such as sewage sludge, soils, and sediments and in combustion residues as fly ashes. Previous experiences have already detected and quantified PCDDs/PCDFs in all matrices studied. Moreover, isomer-specific analysis of 2,3,7,8-PCDDs/Fs compounds corroborated good correlation between GC-QITMS/MS and a well-established technique such as high resolution mass spectrometry (HRMS). Finally, QC measures included the participation in intercalibration exercises. Successful results were achieved using GC-QITMS/MS in the analysis of fly ashes, soils and sediment materials. In general, GC-QITMS/MS constitutes an interesting alternative for routine analysis of dioxins in such as matrices.     

Arsenic tissue concentration of immature mice one hour after oral exposure to gold mine tailings

A potentially high bioavailability of arsenic in gold mine tailings from a site in northern California has been suggested by solubility studies. To help address this issue, an in vivo dosing study was conducted using 12dayold Swiss Webster mouse pups (n=8/group). A sample of sizefractionated mine tailings from the site (<20m particle size, 691g g^–1 arsenic) was prepared as an aqueous suspension and administered by gavage in a volume that provided 4mg As/kg body weight. The control group received the same volume of a commercial soil (1g g^–1 As) of similar particle size (<60m). No mortality or toxic signs were noted in either group. Tissue samples were collected 1h after gavage, freezedried, microwavedigested and analysed for arsenic by ICP/MS (detection limit 2ng As g^–1 dry weight). Arsenic concentrations (ng As g^–1 dry weight) in tissues from the pups who received mine tailings were significantly higher than in control tissues. The mean elevation in arsenic concentration was highest in the liver (3364% of control, p<0.0001), followed by blood (818 of control, p<0.0001), skin (207% of control, p=0.07), and brain (143% of control, p<0.0001). The carcass arsenic concentration (excluding the GI tract, liver, brain and skin) was 138 of control (p=0.02). The data indicate uptake of arsenic from weathered mine tailings by the immature mouse pups after oral exposure.