Arsenite-oxidizing and arsenate-reducing bacteria associated with arsenic-rich groundwater in Taiwan

Drinking highly arsenic-contaminated groundwater is a likely cause of blackfoot disease in Taiwan, but microorganisms that potentially control arsenic mobility in the subsurface remain unstudied. The objective of this study was to investigate the relevant arsenite-oxidizing and arsenate-reducing microbial community that exists in highly arsenic-contaminated groundwater in Taiwan. We cultured and identified arsenic-transforming bacteria, analyzed arsenic resistance and transformation, and determined the presence of genetic markers for arsenic transformation. In total, 11 arsenic-transforming bacterial strains with different colony morphologies and varying arsenic transformation abilities were isolated, including 10 facultative anaerobic arsenate-reducing bacteria and one strictly aerobic arsenite-oxidizing bacterium. All of the isolates exhibited high levels of arsenic resistance with minimum inhibitory concentrations of arsenic ranging from 2 to 200 mM. Strain AR-11 was able to rapidly oxidize arsenite to arsenate at concentrations relevant to environmental groundwater samples without the addition of any electron donors or acceptors. We provide evidence that arsenic-reduction activity may be conferred by the ars operon(s) that were not amplified by the designed primers currently in use. The 16S rRNA sequence analysis grouped the isolates into the following genera: Pseudomonas, Bacillus, Psychrobacter, Vibrio, Citrobacter, Enterobacter, and Bosea. Among these genera, we present the first report of the genus Psychrobacter being involved in arsenic reduction. Our results further support the hypothesis that bacteria capable of either oxidizing arsenite or reducing arsenate coexist and are ubiquitous in arsenic-contaminated groundwater.     

Evaluation of the multiple-ion competition in the adsorption of As(V) onto reclaimed iron-oxide coated sands by fractional factorial design

This study describes the competitive effects of selected ions and natural organic matter on As(V) removal using reclaimed iron-oxide coated sands (RIOCS) in the single- and multi-ion systems. A 2(7-3) factional factorial experimental design (FFD) was employed for screening main competitive factors in this adsorption process. As a result, the inhibitive competition effects of the anions on As(V) removal in the single ion system were in the following sequence: PO(4)(3-)>SiO(3)(2-)>HCO(3)(-)>humic acid (HA)>SO(4)(2-)>Cl(-), whereas the cation Ca(2+) was observed to enhance the As(V) removal. In addition, the optimum initial pH for As(V) removal in single-ion system was 5. Based on the estimates of major effects and interactions from the FFD, PO(4)(3-), SiO(3)(2-), Ca(2+) and HA were important factors on As(V) removal in the multi-ion system. The promoters for the As(V) removal were found to be Ca(2+) and, to a lesser extent, SO(4)(2-). The competitive effects of these ions on As(V) removal were in the order of PO(4)(3-), SiO(3)(2-), HA, HCO(3)(-), and Cl(-). In the single ion system, the efficiencies of As(V) removal range from 75% to 96%, much higher than those in the multi-ion system (44%) at the initial pH 5. Clearly, there were some complex anion interactions in the multi-ion system. To promote the removal of As(V) by RIOCS, it is proposed to lower the pH in the single-ion system, while in the multi-ion system, the increase of the Ca(2+) concentration, or decreases of PO(4)(3-), SiO(3)(2-) and HA concentrations is suggested.     

Cytotoxicity of municipal solid waste incinerator ash wastes toward mammalian kidney cell lines

In this study, three municipal solid waste incinerator (MSWI) ash wastes-bottom ash, scrubber residue, and baghouse ash-were extracted using a toxicity characteristic leaching procedure (TCLP) extractant. These so-called final TCLP extracts were applied to African green monkey kidney cells (Vero), baby hamster kidney cells (BHK-21), and pig kidney cells (PK-15), multi-well absorption reader analysis was performed to test how the cytotoxicity of the incineration ashes would affect the digestive systems of animals. Ion-coupled plasma analyses indicated that the baghouse ash extract possessed the highest pH and heavy metal concentration, its cytotoxicity was also the highest. In contrast, the bottom ash and the scrubber residue exhibited very low cytotoxicities. The cytotoxicities of mixtures of baghouse ash and scrubber residue toward the three tested cell lines increased as the relative ratio of the baghouse ash increased, especially for the Vero cells. The slight cytotoxicity of the scrubber residue arose mainly from the presence of Cr species, whereas the high cytotoxicity of the baghouse ash resulted from its high content of heavy metals and alkali ions. In addition, it appears that the dissolved total organic carbon content of these ash wastes can reduce the cytotoxicity of ash wastes that collect in animal cells.     

Optimal model averaging by data perturbation for spatial noisy data

Geostatistical models play an important role in spatial data analysis, in which model selection is inevitable. Model selection methods, such as AIC and BIC, are popular for selecting appropriate models. In recent years, some model averaging methods, such as smoothed AIC and smoothed BIC, are also applied to spatial data models. However, the corresponding averaging estimators are outperformed by optimal model averaging estimators (Hansen in Econometrica 75:1175–1189, 2007) for the ordinary linear models. Therefore, this paper focuses on the optimal model averaging method for geostatistical models. We propose a weight choice criterion for the model averaging estimator on the basis of the generalized degrees of freedom and data perturbation technique. We further theoretically prove the resultant estimator is asymptotically optimal in terms of the mean squared error, and numerically demonstrate its satisfactory performance. Finally, the proposed method is applied to a mercury data set.     

围场县农田典型药物和个人护理品污染特征与生态风险预评价

利用超声萃取-固相萃取-高效液相色谱/串联质谱(LC-MS/MS)技术,对围场县全县农田中5个大类(磺胺类、四环素类、氟喹诺酮类、大环内酯类以及其他类)25种典型药物和个人护理品(PPCPs)的污染水平进行了调查,并采用风险熵法对其进行生态风险预评价。结果表明:有23种目标PPCPs被检出,不同目标物检出率差异显著,检出含量范围为0.38~6.50μg·kg-1,单种污染物最高检出浓度为101.9μg·kg-1(磺胺甲恶唑)。以目标物划分,分别有7种和5种被检出物质达到生态高风险和中等风险水平;以采样区域划分,41个土壤点位中分别有17个和12个达到生态高风险和中等风险水平。畜用PPCPs是围场农田中PPCPs污染物的主要来源,兽药滥用、粪便自然堆沤等传统农耕模式有造成农田土壤中PPCPs累积的趋势,因此需严控PPCPs污染源头,并推进畜禽粪便安全的资源化利用,以减缓农田土壤中由于PPCPs污染带来的潜在生态风险,保障围场地区生态环境功能、农田环境质量以及农产品安全品质。     

Integrated process development for the recovery of Europium and Yttrium from waste fluorescent powder

Journal of Material Cycles and Waste Management - Fluorescent powder plays an important role in the modern electronic lighting products. During the production of electronic lighting products, a...     

聚乙烯吡啶树脂对间苯三酚的吸附性能

通过悬浮聚合的方法,合成了一种聚乙烯吡啶树脂(WH-06)。以大孔弱碱树脂D301和超高交联树脂NDA150作为参照,研究了WH-06树脂对间苯三酚的吸附性能,探讨了溶液的p H及无机盐对树脂吸附间苯三酚的影响。结果表明,WH-06树脂对间苯三酚的吸附等温线都同时满足Langmuir和Freundlich等温吸附方程,且间苯三酚在WH-06树脂上的吸附是一放热过程,能够自发进行,无机盐对WH-06吸附间苯三酚几乎无影响。     

氨基修饰介孔分子筛SBA-15对水中Pb~(2+)吸附性能

以二乙烯三胺基丙基三甲氧基硅烷为偶联剂,利用后修饰方法,制备出氨基修饰SBA-15。利用傅立叶红外光谱仪,N2-吸附脱附对样品结构进行表征,并讨论了吸附动力学特性及吸附等温特性。结果表明,修饰后的SBA-15吸附水中Pb2+时在120 min内可以达到吸附平衡,吸附过程符合拟二阶动力学方程。Langmuir模型及Dubinin-Radushkevich(DR)模型很好地描述了Pb2+在修饰后SBA-15上的吸附行为,其中基于Langmuir模型计算得出的25℃时最大吸附量为84.25 mg/g。D-R模型计算得出的平均吸附自由能在25℃、35℃和45℃时分别为-13.9、-14.4和-16.0 kJ/mol,表明吸附可能属于表面络合作用,可以归为化学过程。     

超声波协同Fenton氧化法去除造纸法再造烟叶废水COD

采用单独Fenton氧化法和联合超声波Fenton氧化法去除经过生化处理后的造纸法再造烟叶废水COD,通过研究反应时间、H2O2和Fe2+用量对COD去除率的影响,确定最佳实验条件。结果显示,Fenton法和联合超声波Fenton法对COD最大去除率分别为66.18%和76.99%;对比结果发现,超声波可以减少Fenton反应时间,降低COD去除率最大时的Fenton试剂用量,保证高COD去除率的同时扩宽Fenton试剂用量范围,超声波协同Fenton反应的作用显著。     

一株高效广谱染料脱色菌脱色条件的优化

以模拟酸性大红3R染料废水为对象,在单因素实验基础上,选取温度、初始染料浓度、酵母粉浓度三因素为影响因子,以染料脱色率为响应值,利用Box-Behnken设计及响应面分析法研究了各因素对一株广谱型染料脱色菌株Enterobacter cloacae strain M3脱色效果的影响及各因素间交互作用,建立了二次多项式回归方程的预测模型,确定了菌株脱色酸性大红3R废水的优化条件。结果表明：回归方程极显著,拟合性好。最优脱色条件为温度36℃,染料浓度121.12 mg/L,酵母粉浓度1.99%,在此条件下,染料脱色率可达99.21%。经实验验证,实际值与模型预测值拟合良好,偏差仅为0.79%。