溶胶凝胶法制备铜催化剂及其稳定性的研究

介绍了利用溶胶凝胶方法制备铜系催化剂，并考察了制备过程中各个工艺参数对铜系催化剂稳定性的影响。通过优化催化剂的设计和制备方法，可有效地改善Cu^2＋的溶出问题，使该类催化剂具有广阔的应用前景。     

铜镍纳米结构修饰多孔电极的电化学硝酸根还原

利用电化学将硝酸根转化为有价值的氨是硝酸盐处置绿色、低碳的途径。本研究制备了铜镍纳米结构修饰多孔电极(Ni-Cu NW),同时构建了电场与流场相协同的穿透式电化学反应器体系。在施加-0.6 V (vs. RHE)电位条件下,该体系氨法拉第效率可达到(84.35±3.63)%,而泡沫Cu电极的法拉第效率仅为(17.2±0.63)%。在定制的穿透式反应器中,Ni-Cu NW电极在−0.6 V、300 r·min⁻¹转速条件下对1 400 mg·L⁻¹ NO₃^--N 溶液电解,100 min后硝酸盐的转化率接近100%,氨选择性为85.5%。电子自旋共振能谱(ESR)和H_ads淬灭实验证明除了电极直接还原硝酸盐,体系中的H_ads可帮助进一步还原硝酸盐。以50 mA·cm⁻²恒电流密度运行24 h,运行前后电极的硝酸盐还原性能未产生明显变化。     

高铁酸钾辅助土壤吸附Cu2+的性能及影响因素

研究了汾河边砂壤土(A土)和细砂土(B土)在不同影响因素下对Cu2+的吸附特性,对比2种原土和加入高铁酸钾后对水相中Cu2+的吸附动力学和热力学参数。结果表明,B土有机质含量比A土高,其对Cu2+的吸附量大于A土。高铁酸钾的加入对土壤吸附Cu2+有显著效果,最佳吸附条件为A土和B土加入K2FeO4的Fe/Cu质量比分别为20:1和5:1,pH=8~10,T=35 ℃,此时A土、B土、加入K2FeO4的A土、加入K2FeO4的B土的最大吸附量分别为0.36、0.41、0.41和0.46 mg/g。A土和B土对Cu2+的吸附过程满足Freundlich方程,吸附能力大小为:加入K2FeO4的B土 >加入K2FeO4的A土 >B土 >A土。吸附热力学表明,该吸附是自发吸热过程,吸附动力学满足准二级动力学模型,表明土壤A和B对Cu2+吸附是以多层吸附为主,同时存在物理和化学吸附过程。     

蚯蚓粪生物炭对Cu(Ⅱ)的吸附性能

为寻求蚯蚓粪便(EM)新型的资源化利用途径,以 EM 为原料制备生物炭(EMBC),用于吸附废水中 Cu(Ⅱ)。在探讨 EMBC 基本性质的基础上,研究了 Cu(Ⅱ)初始浓度、时间、 pH 、温度、离子强度、 EMBC 投加量等因素对吸附效果的影响,并分析了潜在的吸附机理。结果表明:EMBC 对 Cu(Ⅱ)吸附量随初始浓度和温度的增加而增加;EMBC 对 Cu(Ⅱ)的吸附在 24 h 内可达到平衡;单位质量 EMBC 对 Cu(Ⅱ)的吸附量随 EMBC 投加量的增加而减小,EMBC 对 Cu(Ⅱ)吸附量随 pH 和离子强度的增加先降后升。Freundlich 等温吸附模型能更好地拟合 EMBC 对 Cu(Ⅱ)的吸附行为(R2=1),且二级吸附动力学可以更好地描述吸附过程(R2=0.99),结合傅立叶红外光谱分析,表明 EMBC 对 Cu(Ⅱ)的吸附机制可能是化学吸附作用为主。     

Combined toxicity of copper and cadmium to six rice genotypes （Oryza sativa L.）

Accumulation of copper (Cu) and cadmium (Cd) in six rice cultivars (94D-22, 94D-54, 94D-64, Gui630, YY-1 and KY1360) was evaluated through exposure to heavy metal contamination (100 mg/kg Cu, 1.0 mg/kg Cd, and 100 mg/kg Cu + 1.0 mg/kg Cd) in a greenhouse. The dry weight of shoot and root, concentrations of Cu and Cd in plant tissues and the Cu, Cd, P, Fe concentrations in the root surface iron plaques were analyzed eight weeks later after treatment. The results indicated that the plant biomass was mainly determined by rice genotypes, not Cu and Cd content in soil. Separated treatment with Cu/Cd increased each metal level in shoot, root and iron plaques. Soil Cu enhanced Cd accumulation in tissues. In contrast, Cu concentrations in shoot and root was unaffected by soil Cd. Compared to single metal contamination, combined treatment increased Cd content by 110.6%, 77.0% and 45.2% in shoot, and by 112.7%, 51.2% and 18.4% in root for Gui630, YY-1 and KY1360, respectively. The content level of Cu or Cd in root surface iron plaques was not affected by their soil content. Cu promoted Fe accumulation in iron plaques, while Cd has no effect on P and Fe accumulation in it. The translocation of Cu and Cd from iron plaques to root and shoot was also discussed. These results might be beneficial in selecting cultivars with low heavy metal accumulation and designing strategies for soil bioremediation.     

铜、砷在水稻－土壤体系中的迁移及其对水稻影响的研究

通过盆栽试验和现场布点试验，研究了铜、砷在水稻－土壤体系中迁移的规律。结果表明，该体系对铜、砷污染具有相当大的缓解作用；土壤中水溶性可交换态铜、砷含量很低；铜、砷主要累积在水稻根部；土壤中铜、砷相互有拮抗作用，确定土壤铜、砷临界值应考虑多因素综合作用。     

施加磷元素后对小麦抗重金属铜毒性的影响

将小麦幼苗放在含有不同浓度磷元素（1 mmol/L和10 mmol/L）和铜元素（0.16μmol/L、100μmol/L和1 mmol/L）的培养液中处理12 h后,观察植物体内铜元素的含量、叶绿素含量、抗坏血酸循环的变化.结果表明,当培养液中施加的铜元素浓度相同时,施加较高浓度的磷（10 mmol/L）能促进植物根部吸收和积累铜,并能促进铜元素从根部向地上部的运输.此外,实验结果还表明,当培养液中都含有较少量的铜（0.16μmol/L）元素时,比较磷浓度对植物体内生理反应的影响时,发现在含有高浓度磷的培养液中培养的小麦体内的受到较少的膜质过氧化损伤,光合色素的含量保持稳定.但是,当培养液中有较高浓度的铜元素（100μmol/L和1 mmol/L）时,施加高浓度的磷反而加剧了植物体内的膜质过氧化损伤和引起光合色素的分解,从而不利于植物正常的生长发育.     

添加不同化合态结合的铜离子对其在黄土中吸持及形态的影响

分别以CuSO4和Cu(NO3)2为吸持质，研究了添加不同化合态结合的铜离子在黄土中的等温吸持及形态分布规律。结果表明：黄土吸持铜离子以碳酸盐结合态为主。当铜离子初始浓度较低时，添加不同化合态结合的铜离子对其在黄土中的吸持及碳酸盐结合态没有明显影响；当铜离子初始浓度超过一定值时，添加不同化合态结合的铜离子对其在黄土中的吸持及碳酸盐结合态的影响随铜离子初始浓度的增加而明显增大。添加不同化合态结合的铜离子，其持有量和碳酸盐结合态含量均随土壤浓度的增大而减小。当铜离子初始浓度较低时，添加不同化合态结合的铜离子对其在黄土中的吸持量及碳酸盐结合态含量随土壤浓度的变化影响不大；当铜离子初始浓度超过一定值时，相同初始浓度条件下CuSO4较Cu(NO3)2会造成更大幅度的变化。     

新型锌／铜／铝类水滑石的合成及对模拟印染废水吸附性能的研究

采用低饱和共沉淀法制得锌／铜／铝类水滑石化合物（Zn5CuAl2（OH）16CO3·xH2O）,在450℃焙烧得焙烧物,通过XRD ,FT－IR ,SEM和TG－DSC等手段对样品的结构、形貌和热稳定性进行了分析。将其焙烧物用于吸附模拟印染废水中的阴离子染料活性艳橙,结果表明,pH值在2～9,经吸附90 min ,其对印染废水的吸附性能最佳,染料去除率达96％以上。     

Simulation-based fault propagation analysis—Application on hydrogen production plant

Recently production of hydrogen from water through the Cu–Cl thermochemical cycle is developed as a new technology. The main advantages of this technology over existing ones are higher efficiency, lower costs, lower environmental impact and reduced greenhouse gas emissions. Considering these advantages, the usage of this technology in new industries such as nuclear and oil is increasingly developed. Due to hazards involved in hydrogen production, design and implementation of hydrogen plants require provisions for safety, reliability and risk assessment. However, very little research is done from safety point of view. This paper introduces fault semantic network (FSN) as a novel method for fault diagnosis and fault propagation analysis by using evolutionary techniques like genetic programming (GP) and neural networks (NN), to uncover process variables’ interactions. The effectiveness, feasibility and robustness of the proposed method are demonstrated on simulated data obtained from the simulation of hydrogen production process in Aspen HYSYS^®. The proposed method has successfully achieved reasonable detection and prediction of non-linear interaction patterns among process variables.