城市街道空气中铅污染及其对机体无机盐影响的研究

本文对兰州市不同交通路口铅污染现场监测及交警人群健康体检，结果表明各路口受汽车尾气污染严重，铅浓度在１．１６～２．６４μｇ／ｍ３之间。将１２０名交警分外勤警７０人作为污染组，内勤警及户藉警５０人作为对照组，调查结果尿中δ－氨基乙酰丙酸两组比较没有统计学差异（Ｐ＞０．０５）；污染组发铅、尿铅浓度均显著高于对照组，发锌、铜、钙及血中ＩｇＡ、ＩｇＧ、ＩｇＭ均低于对照组，并具有统计学差异（Ｐ＜０．０５，Ｐ＜０．０１）。提示街道空气铅污染对交警体内无机盐水平及机体免疫能力具有一定的影响。     

Research of Toxic Mechanism on Anaerobic Digestion by Lead

The paper analyzes the influence of lead toxicity by anaerobic granule sludge inhibition and recovering experiments. The result shows that there are different inhibition types at different lead contents. Higher lead content leads to more inhibition granular sludge, and at the same time, the time of gas recovery is different. Lower lead content per microorganism results in sooner sludge recovery. Microorganisms have a good ability to resist lead toxicity.     

Increase in Hair Lead, but not Blood Lead Content of Occupationally-Exposed Workers

This study attempted to investigate whether increased hair lead concentrations due to environmental exposure are accompanied by parallel increases in blood lead concentrations. A sample set consisting of both occupationally-exposed individuals and persons from the general population was investigated. The lead content of scalp and pubic hair from the general population (n=189), traffic police personnel (n=27) and battery workers (n=22) were analysed. The hair samples were taken from the nape of the neck by cutting 23 cm closest to the scalp and cleaned using a washing procedure developed in our laboratory. The effectiveness of the washing procedure was partly determined by examining the scanning electron micrographs of the hair samples. Venous samples of blood were taken from each volunteer's arm.The traffic police and battery plant operators sampled had significantly higher average scalp hair and pubic hair lead levels than the non occupationally-exposed general population. No significant differences were found between the blood lead values of these workers and the general population. Compared to the general population both occupationally-exposed groups had significantly more symptoms of lead toxicity.Lead particles were still observed on the hair shafts after the washing procedure. The amount of such lead contamination was difficult to quantify, the problem being further exacerbated by the difference in hair texture of the persons sampled. This exogenous contamination therefore detracts from the usefulness of hair as an indicator of lead exposure.     

氧化石墨烯对亚甲基蓝和铜离子的共吸附行为研究

氧化石墨烯(GO)具有高比表面积和丰富的含氧官能团,表面存在着大量的吸附点位,被认为是去除水体污染物的高效吸附剂,而其在有机物-重金属复合污染环境中的吸附行为却鲜有报道.因此,本文采用改良Hummers法制备出GO,通过扫描电镜(SEM)、透射电镜(TEM)、红外光谱(FTIR)、拉曼光谱(Raman)和X射线衍射(XRD)等物理表征方法对GO的形貌结构和表面官能团进行了表征.随后,侧重研究了GO对有机物及重金属污染物的单独和共吸附行为,选取亚甲基蓝(MB)与Cu(Ⅱ)作为复合污染水体的特征污染物,探讨了不同浓度Cu(Ⅱ)对MB及不同浓度MB对Cu(Ⅱ)的吸附性能的影响.结果表明,不同类型的污染物单独存在时,GO对MB和Cu(Ⅱ)的吸附量分别为29.13和424.16mg·g-1;而当上述两种污染物共存时,GO对MB和Cu(Ⅱ)的吸附性能均明显下降,这说明MB与Cu(Ⅱ)在GO表面的吸附点位存在着竞争吸附关系,并且MB对Cu(Ⅱ)吸附的抑制作用明显高于Cu(Ⅱ)对MB吸附的影响.     

使用RCFP-IC对南京市不同污染状况下PM_(2.5)中水溶性离子的观测分析

本文使用大气细颗粒物快速捕集系统及化学成分在线分析系统(RCFP-IC)和美国热电污染气体分析系统(EMS系统)对2013年11月16日—12月10日南京地区PM2.5中主要水溶性离子和污染气体进行了观测分析,并结合气象要素数据分析了灰霾天PM2.5中主要水溶性离子的污染特征.结果表明:不同污染条件下PM2.5中水溶性离子分布差异较大,清洁天浓度最大的6种离子排序为SO2-4NO-3NH+4Cl-NO-2K+,霾天(11月20—24日)和雾-霾天(12月1—8日)前6种离子排序分别是SO2-4NH+4NO-3NO-2Cl-K+和NO-3SO2-4NH+4Cl-NO-2K+.受污染源和化学反应的日变化影响,不同离子的日变化特征不同.污染天NO-3、SO2-4和NH+4的浓度是干净天的2.8~5.0倍.不同水溶性离子对能见度的影响不同.     

北京市PM_(2.5)主要化学组分浓度水平研究与特征分析

为研究北京市大气环境PM_(2.5)中主要化学组分特征,于2012年8月—2013年7月期间,在北京市定陵、车公庄、东四、石景山、通州、房山、亦庄和榆垡等8个点位开展为期1年的样品采集,共计采集472组样品,分析每组样品中OC、EC、水溶性离子和18种无机元素等组分.研究结果表明,本次研究的组分重建后和实际PM_(2.5)浓度相关性显著,相关系数为0.94,所测组分平均占PM_(2.5)总量的90%;各点位不同季节PM_(2.5)中主要的组分均为OC、NO_3~-、SO_4~(2-)、NH_4~+,呈南高北低的趋势,冬季OC是夏季的1.7倍,NO_3~-和SO2--4在四季呈交替状态,除榆垡点位的SO_4~(2-)NO_3~-外,其他点位均是NO_3~-SO_4~(2-),4种主要的组分质量浓度分别为(23.1±21.4)、(20.3±23.4)、(19.4±22.2)、(13.6±15.2)μg·m-3,占PM_(2.5)总含量的18.5%、16.3%、15.6%、10.9%;研究水溶性离子发现,8个点位全年SNA/PM_(2.5)比例为42.8%,其中,夏季最高(49.9%),秋季较低(31.1%),NO_3~-/SO_4~(2-)比值平均为1.05,相对往年研究结果 NO_3~-/SO_4~(2-)比值有增加的趋势.     

Cu(II), Fe(III) and Mn(II) combinations as environmental stress factors have distinguishing effects on Enterococcus hirae

Pollution by various heavy metals as environmental stress factors might affect bacteria. It was established that iron (Fe(III)), manganese (Mn(II)) and copper (Cu(II)) ion combinations caused effects on Enterococcus hirae that differed from the sum of the effects when the metals were added separately. It was shown that the Cu²⁺-Fe³⁺ combination decreased the growth and ATPase activity of membrane vesicles of wild-type E. hirae ATCC9790 and atpD mutant (with defective F_oF₁-ATPase) MS116. Addition of Mn²⁺-Fe³⁺ combinations within the same concentration range had no effects on growth compared to control (without heavy metals). ATPase activity was increased in the presence of Mn²⁺-Fe³⁺, while together with 0.2 mmol/L N,N'-dicyclohexylcarbodiimide (DCCD), ATPase activity was decreased compared to control (when only 0.2 mmol/L DCCD was present). These results indicate that heavy metals ion combinations probably affect the FOF1-ATPase, leading to conformational changes. Moreover the action may be direct or be mediated by environment redox potential. The effects observed when Fe³⁺ was added separately disappeared in both cases, which might be a result of competing processes between Fe³⁺ and other heavy metals. These findings are novel and improve the understanding of heavy metals ions effects on bacteria, and could be applied for regulation of stress response patterns in the environment.     

Cu(II), Fe(III) and Mn(II) combinations as environmental stress factors have distinguishing effects on Enterococcus hirae

Pollution by various heavy metals as environmental stress factors might affect bacteria. It was established that iron (Fe(III)), manganese (Mn(II)) and copper (Cu(II)) ion combinations caused effects on Enterococcus hirae that differed from the sum of the effects when the metals were added separately. It was shown that the Cu^2 +–Fe^3 + combination decreased the growth and ATPase activity of membrane vesicles of wild-type E. hirae ATCC9790 and atpD mutant (with defective F_oF₁-ATPase) MS116. Addition of Mn^2 +–Fe^3 + combinations within the same concentration range had no effects on growth compared to control (without heavy metals). ATPase activity was increased in the presence of Mn^2 +–Fe^3 +, while together with 0.2 mmol/L N,N′-dicyclohexylcarbodiimide (DCCD), ATPase activity was decreased compared to control (when only 0.2 mmol/L DCCD was present). These results indicate that heavy metals ion combinations probably affect the F_OF₁-ATPase, leading to conformational changes. Moreover the action may be direct or be mediated by environment redox potential. The effects observed when Fe^3 + was added separately disappeared in both cases, which might be a result of competing processes between Fe^3 + and other heavy metals. These findings are novel and improve the understanding of heavy metals ions effects on bacteria, and could be applied for regulation of stress response patterns in the environment.     

Immobilization of lead in anthropogenic contaminated soils using phosphates with/without oxalic acid

Understanding the effects of oxalic acid(OA) on the immobilization of Pb(Ⅱ) in contaminated soils by phosphate materials, has considerable benefits for risk assessment and remediation strategies for the soil. A series of phosphate amendments with/without oxalic acid were applied to two anthropogenic contaminated soils. We investigated the immobilization of Pb(Ⅱ) by KH2PO4, phosphate rock(PR), activated phosphate rock(APR) and synthetic hydroxyapatite(HAP) at different phosphate:Pb(P:Pb) molar ratios(0, 0.6, 2.0 and 4.0) in the presence/absence of 50 mmol oxalic acid/kg soil, respectively. The effects of treatments were evaluated using single extraction with deionized water or Ca Cl2, Community Bureau of Reference(BCR) sequential extraction and toxicity characteristic leaching procedure(TCLP)methods. Our results showed that the concentration of water extractable, exchangeable and TCLP-Pb all decreased with incubation time. The concentration of water-extractable Pb after120 days was reduced by 100% when soils were amended with APR, HAP and HAP + OA, and the TCLP-Pb was 5 mg/L for the red soil at P:Pb molar ratio 4.0. Water-soluble Pb could not be detected and the TCLP-Pb was 5 mg/L at all treatments applied to the yellow-brown soil. BCR results indicated that APR was most effective, although a slight enhancement of water-soluble phosphate was detected at the P:Pb molar ratio 4.0 at the beginning of incubation. Oxalic acid activated phosphates, and so mixing insoluble phosphates with oxalic acid may be a useful strategy to improve their effectiveness in reducing Pb bioavailability.     

Cu(Ⅱ), Fe(Ⅲ) and Mn(Ⅱ) combinations as environmental stress factors have distinguishing effects on Enterococcus hirae

Pollution by various heavy metals as environmental stress factors might affect bacteria. It was established that iron(Fe(Ⅲ)), manganese(Mn(Ⅱ)) and copper(Cu(Ⅱ)) ion combinations caused effects on Enterococcus hirae that differed from the sum of the effects when the metals were added separately. It was shown that the Cu2+–Fe3+combination decreased the growth and ATPase activity of membrane vesicles of wild-type E. hirae ATCC9790 and atp D mutant(with defective FoF1-ATPase) MS116. Addition of Mn2+–Fe3+combinations within the same concentration range had no effects on growth compared to control(without heavy metals). ATPase activity was increased in the presence of Mn2+–Fe3+, while together with0.2 mmol/L N,N′-dicyclohexylcarbodiimide(DCCD), ATPase activity was decreased compared to control(when only 0.2 mmol/L DCCD was present). These results indicate that heavy metals ion combinations probably affect the FOF1-ATPase, leading to conformational changes. Moreover the action may be direct or be mediated by environment redox potential.The effects observed when Fe3+was added separately disappeared in both cases, which might be a result of competing processes between Fe3+and other heavy metals. These findings are novel and improve the understanding of heavy metals ions effects on bacteria,and could be applied for regulation of stress response patterns in the environment.