Chemical characteristics of aerosol particles (PM2.5) at a site of Horqin Sand-land in northeast China

Introduction Soil dust derived from the w ind erosion process in arid and sem i-arid region is an im portant factor on the clim ate forcing(Tegen etal., 1996; Sokolik and Toon, 1996). D esert regions in East A sia w ere considered as the m ajor sources fo…     

温州近海海域海水及滩涂沉积物中PFOS和PFOA污染特征分析

为了解温州近海海域全氟辛烷磺酸(PFOS)和全氟辛酸(PFOA)的污染状况和特征,采用固相萃取/高效液相串联质谱检测法分析了采自乐清湾、瓯江口、西湾、飞云江口及洞头半屏岛的近海海水和滩涂沉积物中PFOS和PFOA污染水平。结果显示,温州近海海水普遍存在PFOS和PFOA污染,其中,PFOS的浓度范围为<1.0～31.36 ng/L,中位浓度为2.29 ng/L;PFOA的浓度范围为<1.0～23.66 ng/L,中位浓度为5.29 ng/L。滩涂沉积物样品中PFOS和PFOA的浓度范围(干重)分别为(<1.0～11.91)×10-9(中位浓度为3.60×10-9)和(1.84～34.01)×10-9(中位浓度为6.83×10-9)。温州近海海水中PFOS和PFOA的污染水平明显高于香港沿岸、中国南海海水、韩国沿岸海水和近海珠江三角洲,与大连湾的海水相当,海岸滩涂沉积物中的PFOS和PFOA浓度远高于珠江和黄浦江沉积物中的浓度。     

四川妇女血清中多溴联苯醚的浓度水平与组成特征

用气相色谱-质谱的选择离子法测定四川省妇女血清中多溴联苯醚的质量浓度,并对其组成特征及主要来源进行了研究.在被测的11种多溴联苯醚当中,BDE-209是主要成分,质量浓度从0.12～2.38μg.L-1,中值为0.63μg.L-1,占多溴联苯醚总量的质量分数为63.57%～90.34%,其次是BDE-66、-99和-100,其它多溴联苯醚几乎没有检出,表明污染主要来自十溴联苯醚,其次是四溴和五溴联苯醚.实验结果与其它国家的数据相比,表明多溴联苯醚对普通妇女的污染在四川还处于一个较低的水平.     

光催化降解渗滤液DOM不同组分的相对分子质量变化特征

采用凝胶色谱技术研究了光催化氧化处理过程中垃圾渗滤液DOM 6种组分的分子质量变化规律.结果表明,垃圾渗滤液DOM的相对分子质量大多在104以下,平均在104以上的大分子物质主要是HIB和HIN,仅占渗滤液DOM总量的20%左右.其余组分大多位于(1～10)×103之间,低于500的组分含量很少.说明垃圾渗滤液DOM是以中等相对分子质量的黄腐酸类物质为主,难以生物降解.光催化处理过程中渗滤液DOM的相对分子质量分布范围逐渐变宽,多分散系数D逐渐增大.HOB、HIB、HIA以及HON组分在光催化处理后,相对分子质量显著减小;其中HOB减小最为明显,由初始的(4～25)×103,减小为72 h的(0.4～1)×103之间.而HOA和HIN组分的相对分子质量呈增加趋势,其中HOA增加最为明显,在垃圾原液中分布于(2～20)×103,在72 h光催化处理液中位于(20～50)×103之间.随着处理时间延长,DOM各组分的RID信号均降低,说明其浓度下降.整体上看,渗滤液DOM各组分均发生了明显光催化转化.     

气相抽提去除红壤中挥发性有机污染物的去污机理探讨

通过探讨土壤气相抽提去除红壤中挥发性有机污染物的去污机理,建立了一维稳态条件下污染物在土壤多孔介质中传质的总微分方程,分别求出了平衡模型和动力学模型的解析解和数值解,并用实验结果对平衡模型和动力学模型进行了模拟和验证.实验结果和模型模拟结果表明理论模型与实验结果吻合良好,平衡模型和动力学模型在描述污染物在土柱通风过程中的传质时,分别适用于不同的阶段.在通风初期平衡模型能够很好地描述实验结果,而随着时间的推移,平衡模型的预测曲线逐渐偏离数据点,到了通风中后期,只有动力学模型才能够较好地描述和预测实验结果.     

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.     

LC-MS/MS determination of pesticide residues in fruits and vegetables

The aim of the research is to evaluate pesticide residue contamination of fresh and frozen fruits and vegetables, agricultural raw material, purchased from Polish farmers for production of frozen fruits and vegetables, and the estimation of the multiresidue method effectiveness expressed as the proportion of pesticides detected in food samples to the total number of pesticides analyzed by multiresidue methods. A total of 144 samples (of black currants, red currants, raspberries, cherries, strawberries, blackberries, cauliflowers and broccoli) were analyzed using LC-MS/MS method for the determination of 60 pesticides. QuEChERS extraction, matrix-matched calibration and dynamic multiple reaction monitoring method were used. Residues of 15 compounds, mainly fungicides and insecticides, were detected in 46 samples. The percentage of samples with residues above the maximum residue levels (MRL) was 15%, whereas samples with residues below MRL were 17%. A total of 13 samples contained more than one pesticide residue. Pesticide residues were detected most often in samples of black currants (50%), broccoli (36.4%), raspberries (29%) and red currants (21.8%). The most frequently detected pesticides were carbendazim and acetamiprid. The proportion of pesticides detected during our study to the total number of analyzed pesticides amounted to 25%. It was compared to literature findings. For three fourth of multiresidue methods, the proportion was below 50% for methods developed for the analysis of less than 100 pesticides, and below 30% for methods developed for the analysis of more than 100 pesticides. It appears that a lot of efforts and means is lost on pesticides never or rarely detected in examined samples. The workload and cost effectiveness of the development and application of multiresidue methods along with the range of pesticides covered by the method should be carefully and thoroughly considered anytime when a new method or workflow is developed. Including non-targeted screenings in pesticide residue control seems to be an alternative worth considering.     

Size distributions of aerosol and water-soluble ions in Nanjing during a crop residual burning event

To investigate the impact on urban air pollution by crop residual burning outside Nanjing, aerosol concentration, pollution gas concentration, mass concentration, and water-soluble ion size distribution were observed during one event of November 4-9, 2010. Results show that the size distribution of aerosol concentration is bimodal on pollution days and normal days, with peak values at 60-70 and 200-300 nm, respectively. Aerosol concentration is 10⁴ cm^-3. nm^-1 on pollution days. The peak value of spectrum distribution of aerosol concentration on pollution days is 1.5-3.3 times higher than that on a normal day. Crop residual burning has a great impact on the concentration of fine particles. Diurnal variation of aerosol concentration is trimodal on pollution days and normal days, with peak values at 03:00, 09:00 and 19:00 local standard time. The first peak is impacted by meteorological elements, while the second and third peaks are due to human activities, such as rush hour traffic. Crop residual burning has the greatest impact on SO₂ concentration, followed by NO₂, O₃ is hardly affected. The impact of crop residual burning on fine particles (< 2.1 μm) is larger than on coarse particles (> 2.1 μm), thus ion concentration in fine particles is higher than that in coarse particles. Crop residual burning leads to similar increase in all ion components, thus it has a small impact on the water-soluble ions order. Crop residual burning has a strong impact on the size distribution of K⁺, Cl^-, Na⁺, and F^- and has a weak impact on the size distributions of NH₄⁺, Ca²⁺, NO₃^- and SO₄^2-.     

天津市夏季灰霾与非灰霾天气下颗粒物污染特征与来源解析

年6—8月在天津市区进行的连续灰霾观测发现,灰霾发生的天数占观测时段的1/3. 灰霾日与非灰霾日颗粒物质量浓度存在显著差异,灰霾日ρ(PM_2.5)与ρ(PM₁₀)的平均值分别是非灰霾日的1.64和1.55倍. 灰霾日S含量高于非灰霾日近50%;灰霾日ρ(SO₄2-)和ρ(NO₃-)明显高于非灰霾日,其中灰霾日ρ(NO₃-)增幅最高可达251.02%;灰霾日PM_2.5和PM₁₀中的ρ(OC)、ρ(EC)均是非灰霾日的1.25倍以上. 灰霾日与非灰霾日的气象条件相近,表明此次观测期间天津市区夏季灰霾天气发生与气象条件的关系不大. 使用CMB模型(化学质量平衡模型)对PM_2.5来源进行的解析表明,二次硝酸盐和二次硫酸盐对灰霾日ρ(PM_2.5)的贡献率分别是非灰霾日的2.17和1.34倍,而其他源类在灰霾日和非灰霾日的贡献差异不明显,说明二次离子可能是造成天津市区夏季灰霾最主要的颗粒物源类.