掺钴水钠锰矿对铅的吸附及对砷的氧化

为了研究过渡金属离子掺杂对锰氧化物作为环境友好材料物理化学性质的影响,在浓盐酸还原高锰酸钾制备水钠锰矿过程中添加氯化钴,在常压回流条件下一步合成了三维纳米微球状水钠锰矿,考察了其铅吸附和砷氧化能力.应用粉晶X射线衍射、化学分析、N2物理吸附、场发射扫描电镜（FE-SEM）、X射线光电子能谱（XPS）等手段表征产物晶体结...     

四氨基钴酞菁催化产生活性氧的性能

四氨基钴酞菁作为一种有前途的可见光催化剂,可光敏化为三线态,与溶液中的O2反应产生活性氧.实验考察了反应过程中的光照时间、光敏剂质量、光照强度和pH等4个因素对活性氧产生的影响,同时确定了一种简单可行的检测方法:活性氧与卡巴肼(DPCI)反应,生成卡巴腙(DPCO),以苯-四氯化碳萃取,在563 nm处测其吸光度,从而表示出活性氧的相对产量.实验优化了四氨基钴酞菁催化产生活性氧的条件:于50 mL的溶液中,光照时间为25 min,光敏剂质量为5 mg,光照强度为60 W,pH值为4.同时证明了在反应体系中生成了自由基和单线态氧等活性氧,并且对光催化产生活性氧的机理进行了探讨.     

Co对腈纶废水厌氧处理效果的影响

利用厌氧反应装置,以腈纶废水为处理对象,通过2组试验,对比了微量金属(Co)投加前后废水中有机物降解情况、累积产气量、三维荧光光谱图以及微生物生长情况,研究了微量Co对腈纶废水厌氧处理效果的影响.结果表明:当Co的投加浓度〔以ρ(CoCl2)计〕为1.0 mg/L时,CODCr去除率达71.7%,累积产气量达到22.5 mL;当Co的投加浓度超过10 mg/L时,CODCr去除率为20%左右,累积产气量8.5 mL,未投加Co元素的空白对照组CODCr去除率为43.1%,累积产气量为10 mL.显示微量Co对腈纶废水厌氧生物降解具有一定的促进作用.      

模拟酸雨影响下红壤中钴的释放行为研究

采用室内模拟酸雨淋溶土柱的方法,研究了酸雨影响下红壤中钴的释放特征与规律.结果表明,酸雨加速了红壤中钴的淋溶损失.酸雨作用下红壤中钴的释放随淋溶量的变化具有阶段性特点,但不同土壤之间其阶段性特点存在一定的差异.在实验所施的淋溶强度下,供试的4种红壤中有3种表现为前期阶段减小和后期阶段增大的规律性,1种表现为前期阶段减小,中期阶段增大和后期阶段减小的规律性.酸雨对红壤中钴释放的促进作用,在短期内有利于提高红壤钴的可给性,但长期的酸雨淋溶可导致红壤因钴的加速淋失而缺钴.      

PTA废液回收利用技术

介绍了从精对苯二甲酸（PTA）废液中回收醋酸,邻、对苯二甲酸,醋酸钴锰盐的回收工艺。醋酸得率为90％,邻、对苯二甲酸得率为70％,醋酸钴锰盐得率为95％。该技术成熟、合理,具有较好的经济效益和环境效益。     

钙钛矿型La_(0.8)Ce_(0.2)Fe_(1-x)Co_xO_3催化剂的制备及其三效催化活性

采用自燃烧法制备了一组钙钛矿型复合氧化物La_(0.8)Ce_(0.2)Fe_(1-x)Co_xO_3(x=0.9,0.7,0.5,0.3,0.1),并考察了其对CO、C_3H_6和NO的三效催化活性。XRD和SEM表征结果显示,La_(0.8)Ce_(0.2)Fe_(1-x)Co_xO_3具有良好的钙钛矿型晶体结构,晶粒大小为纳米级并自组装成片状结构。催化剂的比表面积为14.73~22.43 m~2/g,含有微孔和介孔结构。催化活性评价结果表明:La_(0.8)Ce_(0.2)Fe_(0.1)Co_(0.9)O_3具有很好的三效催化活性,在理论空燃比的条件下,CO、C_3H_6和NO的起燃温度分别为195℃、264℃和290℃,完全转化温度分别为239℃、418℃和415℃,低温三效催化活性良好;Fe和Co的掺杂量同时影响着La_(0.8)Ce_(0.2)Fe_(1-x)Co_xO_3的催化效果。     

新型硅镁胶(MgO·2SiO_2)对模拟放射性废水中Co~(2+)的吸附性能

以泡花碱和氯化镁为原料合成出了一种新型硅镁胶(MgO·2SiO2)吸附材料,用傅里叶红外光谱仪对其进行了表征,并对模拟放射性废水中的Co2+进行吸附实验。结果表明,控制合成pH在10.50~11.00,可以得到目标硅镁胶(MgO·2SiO2),在460 cm-1处出现了较强的吸收峰,这是由Mg—O伸缩振动和Si—Mg—O弯曲振动引起。在500℃焙烧4h后,可以得到吸附性能良好的硅镁胶,随着溶液pH的升高,去除率增大,在pH为4~8时达到最大。25℃时,最大吸附量可达135.5 mg/g,吸附过程符合Langmuir等温吸附方程和准二级动力学方程。重复使用4次,对Co2+的吸附量仍然达到130 mg/g,说明硅镁胶是一种可重复利用的吸附剂。     

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.     

Chemical forms of cobalt and nickel extracted by M1, M3 and CaCl2 DTPA

Mehlich 1(M1), mehlich 3(M3) and CaCl₂ DTPA have been used to predict the available micronutrient in soil. However, the forms of micronutrient extractable by these extractants are not known. In the present study, ten soils, collected from five provinces and the capital of China, representing a wide range of chemical and physical properties, were analyzed by sequential extraction to isolate five forms of cobalt and nickel, they are exchangeable, carbonate bound, Fe Mn oxide bound, organically bound and residual forms. The chemical forms extracted by M1, M3 and CaCl₂ DTPA were also investigated. The results show strong correlation between the carbonate bound or organically bound forms of Co or Ni and the amounts of extractable by any of the above three extractants. The main forms extracted by these extractants are carbonate and organically bound forms. The ranking of these three extractants for extraction of Co and Ni are M1>M3=CaCl₂ DTPA and M1=M3>CaCl₂ DTPA, respectively.     

Predicting the risk of cobalt deprivation in grazing livestock from soil composition data

The objective was to derive predictive equations for acetic acid-extractable cobalt (A-ECo) in soils so that extensive national databases for total (T) Co in soils and stream sediments could be converted to plant available concentrations for the purpose of predicting risk of Co deficiency in grazing livestock. Data on the chemical and physical properties of 103 soils from 15 different parent materials and 54 soil series in England and Wales were used. Ranges for the mean values for parent materials were: TCo, 5.0–20.4 and A-ECo, 0.20–1.30 mg kg^–1; percentage (P) A-ECo, 3.4–13.5; soil manganese (Mn) 268–1174 mg kgDM^–1; pH, 3.7–8.0. There were significant effects of parent material on all parameters with Chalks, Old and New Red Sandstones particularly low in A-ECo. Multiple linear regression yielded the following equation for predicting A-ECo, which accounted for 56% of the variance with 12 outliers, including the lowest pH values, omitted:A-ECo(mg kg^-1) = 1.4 - 0.0619TCo (mg kg^-1) - 0.432TMn(g kg^-1) - 0.171pHPrediction of PA-ECo was less precise:PA-ECo(%) = 21.1 - 4.5TMn(g kg^-1) - 1.77pH(r ² = 44.8%; 88 d.f.REML was used on the complete, unbalanced, log-transformed data set to fit a Generalised Mixed Model with parent material as random effect and soil Mn and pH as fixed effects; the effect of parent material was no longer significant. It was concluded that A-ECo can be satisfactorily predicted for most soils in England and Wales from TCo, TMn and soil pH.