TiO2胶体光催化降解罗丹明B染料

TiO2胶体从钛氧有机物水解制备,表征的方法有:X射线衍射光谱(XRD)、激光散射粒径分布、傅立叶变换红外光谱(FT-IR)、X射线光电子谱(XPS)和透射电子显微镜(TEM)。利用罗丹明B染料分子作为探针分子研究TiO2胶体的光催化活性,分析了pH、催化剂用量、外加氧化剂(H2O2)用量及罗丹明B初始浓度对TiO2胶体光催化活性的影响。结果表明:制备的TiO2胶体粒子平均粒径为13.8 nm(激光散法测定),光催化降解罗丹明B染料的反应属于一级动力学反应,可以用Langmuir-Hinshewood模型加以描述,反应速率常数k1为0.08413 mg/(L.min),平衡吸附常数k2为1.5305 L/mg;在pH为6,TiO2胶体用量为0.04%,H2O2(含量30%)用量为0.2%(V/V),光照度为69.6μW/cm2时,5 h后罗丹明B染料的降解率可达到99%以上;相似的条件,0.2%的P25 TiO2粉体光催化处理染料水时,罗丹明B的降解率为90%。纳米TiO2胶体不仅可以提高罗丹明B的光催化降解率,还具有用量少,可有效降低水处理成本的特点。     

TiO2/CdS复合半导体光催化剂降解甲基橙的实验研究

采用Sol-Gel法制备TiO2/CdS复合半导体光催化剂,以8 W-365 nm的紫外灯为光源、甲基橙溶液模拟染料废水、在自制的光催化反应器中研究TiO2/CdS的光催化活性和光催化降解甲基橙的特点和规律.结果表明,当CdS掺入量为0.5%(摩尔比)时,TiO2/CdS的光催化活性最高;当CdS的掺入量＞3.5%(摩尔比)时,TiO2/CdS光催化剂的光催化活性低于TiO2的光催化活性;对初始浓度为15 mg/L的甲基橙溶液处理2.5 h后,脱色率可达44%;甲基橙的光催化降解反应符合Y=A B1×X B2×X2动力学模型.     

Cu~(2+)-TiO_2/偕胺肟纤维的制备及其光催化降解性能

以偕胺肟纤维为配体和载体,常温下通过"配位-水解"方法,制备Cu~(2+)改性TiO_2/偕胺肟纤维复合材料(Cu~(2+)-TiO_2/AOCF)。采用XRD、SEM和EDS对Cu~(2+)-TiO_2/AOCF晶体结构、形貌和表面成分进行分析表征。结果表明,TiO_2纳米颗粒均匀分布在纤维表面,呈无定型态。以光催化降解活性黄染料的降解率为指标,优化了制备工艺条件,结果显示,Cu~(2+)-TiO_2/AOCF的最佳制备条件:氯化铜浓度c=1.5 mmol·L~(-1)、掺杂时间t=20 min、pH=3.0。对活性黄和甲基橙的光催化降解反应表明,当染料溶液pH=2.0、太阳光光源、催化剂用量为0.500 0 g·L~(-1)时,催化降解效率能达到95.7%。催化剂可重复使用6~8次且能保持光催化能力,2种溶液的催化降解反应均符合一级反应动力学特征。紫外可见光谱(UV-vis)和光致发光光谱(PL)分析表明,Cu~(2+)的改性降低了TiO_2禁带宽度,使其光谱响应范围变宽。     

TiO_2胶体光催化降解罗丹明B染料

TiO2胶体从钛氧有机物水解制备,表征的方法有：X射线衍射光谱（XRD）、激光散射粒径分布、傅立叶变换红外光谱（FT-IR）、X射线光电子谱（XPS）和透射电子显微镜（TEM）。利用罗丹明B染料分子作为探针分子研究TiO2胶体的光催化活性,分析了pH、催化剂用量、外加氧化剂（H2O2）用量及罗丹明B初始浓度对TiO2胶体光催化活性的影响。结果表明：制备的TiO2胶体粒子平均粒径为13.8 nm（激光散法测定）,光催化降解罗丹明B染料的反应属于一级动力学反应,可以用Langmuir-Hinshewood模型加以描述,反应速率常数k1为0.08413 mg/（L.min）,平衡吸附常数k2为1.5305 L/mg;在pH为6,TiO2胶体用量为0.04%,H2O2（含量30%）用量为0.2%（V/V）,光照度为69.6μW/cm2时,5 h后罗丹明B染料的降解率可达到99%以上;相似的条件,0.2%的P25 TiO2粉体光催化处理染料水时,罗丹明B的降解率为90%。纳米TiO2胶体不仅可以提高罗丹明B的光催化降解率,还具有用量少,可有效降低水处理成本的特点。     

Fe~(3+)掺杂TiO_2/凹凸棒复合材料的光催化性能

采用酸催化的溶胶-凝胶法制备了一系列Fe3+掺杂TiO2/凹凸棒(Fe3+-TiO2/ATP)复合光催化剂材料。在可见光条件下,以亚甲基蓝(MB)溶液的光催化降解反应,评价了样品的光催化性能,研究了TiO2负载量、Fe3+掺杂量和焙烧温度对复合材料光催化性能的影响。在单因素实验的基础上,采用正交实验设计(L25(53))优化了催化剂的制备条件。光催化实验结果表明,MB在复合材料上的光催化降解反应遵循Langmuir-Hinshelwood(L-H)动力学模型。正交实验结果表明,当TiO2负载量为15%、Fe3+掺杂量为0.5%和焙烧温度为550℃时,得到的复合材料对MB的光催化降解效率最佳,测得表观反应速率常数kapp为6.09×10-3min-1,反应4 h后MB的降解率(Dt)可达75.88%,相同实验条件下与P25(1.51×10-3min-1)相比较,反应速率提高了4.03倍,降解率提高了45.05%。另外,复合材料的沉降性能优于P25,易于分离,是一类有应用前景的复合光催化剂。     

锰氧化物八面体分子筛活化过一硫酸氢盐降解酸性橙7

采用无溶剂法制备了氧化锰八面体分子筛(OMS-2),通过XRD、FT-IR、SEM、TEM及N_2吸附-脱附等温线等对其结构进行了表征,并以典型难降解偶氮染料酸性橙7(AO_7)为目标污染物,考察了OMS-2活化过一硫酸氢盐(PMS)降解AO_7的性能。研究结果发现,无溶剂法制备的OMS-2呈纳米棒状,为典型的锰钾矿型结构,比表面积达到129 m~2·g~(-1),平均粒径10.5 nm左右。OMS-2催化剂能够高效催化PMS产生活性自由基降解偶氮染料,反应10 min内可使AO_7几乎完全脱色,重复使用10次均能保持较高的催化稳定性;脱色降解后染料分子中的共轭体系和芳香环结构被破坏。     

B,N和Ce共掺杂TiO2催化剂光催化活性研究

采用溶胶-凝胶法制备出B,N和Ce共掺杂TiO2光催化剂,并用XRD、SEM等表征了其结构特征。以酸性大红染料溶液的光催化降解为探针反应,考察了制备条件对共掺杂TiO2催化剂活性的影响。结果表明,在400℃,当B,N和Ce的原子比为1∶2∶0.1,焙烧3 h时,光催化剂活性最大,大红染料的降解率达到98%。     

B,N和Ce共掺杂TiO_2催化剂光催化活性研究

采用溶胶-凝胶法制备出B,N和Ce共掺杂TiO2光催化剂,并用XRD、SEM等表征了其结构特征。以酸性大红染料溶液的光催化降解为探针反应,考察了制备条件对共掺杂TiO2催化剂活性的影响。结果表明,在400℃,当B,N和Ce的原子比为1∶2∶0.1,焙烧3 h时,光催化剂活性最大,大红染料的降解率达到98%。     

漂浮负载型光催化剂制备及降解草甘膦研究

以漂珠(FP)为载体,采用溶胶-凝胶-浸渍法制备了漂浮负载型CdS/TiO2/FP复合膜光催化剂,通过SEM、XRD对其结构进行了表征.以甘草膦农药的光催化降解为模型反应,使用不同光源研究了CdS/TiO2/FP的光催化性能,探讨了影响催化剂活性的因素及采用太阳光做光源处理草甘膦的可行性.结果表明,经4层镀膜500℃热处理的20%(w/w)CdS/TiO2/FP光催化剂具有良好的光催化性能,最佳降解条件为:催化剂加入量3 g/L,初始pH 7～9,Fe2 浓度为2.0×10-3 mol/L.通气量200 mL/min.在最佳条件下,对135 mg/L草甘膦溶液降解率可以分别达到96.3%(125 W高压汞灯,60 min)和82.4%(太阳光,180 min).     

Fe(0)-EDTA-空气体系降解活性黑染料废水

利用Fe(0)-EDTA-空气(ZEA)体系处理活性黑模拟染料废水。考察了活性黑初始浓度、反应温度、EDTA浓度和溶液酸度对降解效果的影响,用紫外可见吸收光谱检测了染料的降解过程。结果表明,Fe(0)-EDTA混合物在室温常压下,能够活化空气中的氧分子,进而使染料快速降解,升高温度和增加溶液酸度均能提高降解率。在pH为5.35,活性黑初始浓度为25 mg/L,EDTA浓度为0.1 mmol/L,Fe粉用量0.20 g,温度25℃时,脱色率达到95.60%,符合1级反应动力学。     

Acute toxicity of substituted phenols to Rana japonica tadpoles and mechanism-based quantitative structure-activity relationship (QSAR) study.

Acute 12 h and 24 h lethal toxicity (12 h-LC50 and 24 h-LC50) of 31 substituted phenols to Rana japonica tadpoles was determined. Results indicate that toxicity of phenols to tadpoles varied only slightly with length of exposure and the 12-h test could serve as surrogate of the 24-h test. A mechanism-based quantitative structure-activity relationship (QSAR) method was employed and 1-octanol/water partition coefficient (log K(ow))-dependent models were developed to study different modes of toxic action. Most phenols elicited their response via a polar narcotic mechanism and an excellent logK(ow)-dependent model was obtained. Soft electrophilicity and pro-electrophilicity were observed for some phenols and a good log K(ow)-dependent model was also achieved. Additionally, the significant dissociation of carboxyl on benzoic acid derivatives sharply reduced their toxicity. A statistically robust QSAR model was developed for all studied compounds with the combined application of log K(ow), energy of lowest unoccupied orbital (E(lumo)), heat of formation (HOF) and the first-order path molecular connectivity dices (1chi(p)).     

Structure-activity relationships and response-surface analysis of nitroaromatics toxicity to the yeast (Saccharomyces cerevisiae)

Inhibition of growth of the yeast Saccharomyces cerevisiae (Cmiz, the minimum concentration that produced a clear inhibition zone within 12 h) for 24 nitroaromatic compounds was investigated and a quantitative structure-activity relationship (QSAR) developed based on hydrophobicity expressed as the l-octanol/water partition coefficient in logarithm form, log K(ow), electrophilicity based on the energy of the lowest unoccupied orbital (E(lumo)). All nitrobenzene derivatives exhibited enhanced reactive toxicity than baseline. The toxicities of mono-nitrobenzenes and di-nitrobenzenes were elicited by different mechanisms of toxic action. For mono-nitro-derivatives, both significant log K(ow) based and strong E(lumo)-dependent relationships were observed indicating that their toxicities were affected both by the penetration process and the interaction with target sites of interaction. The toxicities of di-nitrobenzenes were greater than mono-nitrobenzenes and no log K(ow)-dependent but highly significant E(lumo)-based relationship was obtained. This suggests that toxicity of di-nitrobenzenes was highly electrophilic and involved mainly their in vivo electrophilic interaction with biomacromolecules. In an effort to model the elevated toxicity of all nitrobenzenes, a response-surface analysis was performed and this resulted in a highly predictive two-variable QSAR without reference to their exact mechanisms (Cmiz = 0.41 log K(ow) - 0.89 E(lumo) - 0.46, r2 = 0.87, Q2 = 0.86, n = 24).