松散接触下 Au-Ce强相互作用对 Au/CeO2/3DOM Al2O3催化剂催化柴油炭烟燃烧活性的影响

与汽油发动机相比,柴油发动机具有热效率高、CO2排放低、寿命长、续航距离远和经济性好等优点,可大大缓解能源短缺,降低 CO2排放量.因此,机动车柴油化是当前发展趋势.然而,柴油发动机在使用过程中会排放大量炭烟颗粒物,对人体危害极大.因此,控制炭烟颗粒排放成为环境催化研究的重点之一.
　　炭烟颗粒物催化燃烧反应是典型的固(炭烟颗粒)-固(催化剂)-气(O2)多相催化反应.三维有序大孔氧化物(3DOM)具有大孔径和内部贯通的孔道结构,能有效提高炭烟颗粒与催化活性中心的接触性能.同时,纳米 Au颗粒在大孔氧化物表面的负载可有效提高催化剂本征活性,但纳米 Au颗粒催化剂热稳定性较差. CeO2具有较好的储放氧性能,可与贵金属活性组分发生相互作用,从而提高贵金属纳米颗粒的分散度和稳定性.因此,本文从柴油炭烟颗粒物催化燃烧反应本质出发,设计制备了高炭烟燃烧催化活性的3DOM氧化物担载 Au基催化剂,研究了 Au与 CeO2强相互作用对炭烟燃烧活性的影响.
　　采用胶体晶体模板法制备3DOM Al2O3载体,由微孔膜氨沉淀法制备 CeO2/3DOM Al2O3催化剂,以还原-沉积法制备 Au/3DOM Al2O3和 Au/CeO2/3DOM Al2O3催化剂,并利用扫描电镜、N2物理吸附-脱附、X射线衍射、透射电镜、紫外漫反射光谱、H2程序升温还原和 X射线光电子能谱等手段对催化剂形貌、比表面积、物理化学性质和氧化还原性进行了表征.结果表明,在 CeO2/3DOM Al2O3中, Al3+可进入到氧化铈晶格内,形成 Al-Ce-O固溶体,产生氧空位,这有利于氧物种转移.此外, Au/CeO2/3DOM Al2O3催化剂中 Au和 CeO2之间的强相互作用能增加 Au纳米颗粒表面活性氧物种数量,从而促进柴油炭烟燃烧反应.纳米颗粒 Au的担载使得催化柴油炭烟燃烧的起燃温度明显降低,其中 Au/CeO2/3DOM Al2O3催化剂表现出最高的催化活性,T10,T50和T90分别为273,364和412oC.     

三维有序结构的金掺杂纳米TiO_2修饰电极用于H_2O_2的测定

在ITO玻璃表面构建了三维有序多孔结构的金掺杂纳米Ti O2薄膜(3DOM GTD/ITO),同时制备了一种细胞色素c(Cyt c)酶生物传感器(Cyt c/3DOM GTD/ITO)。通过透射电镜(TEM)、扫描电镜(SEM)对修饰电极进行表征。紫外-可见光谱实验表明吸附在GTD上的Cyt c能够保持其生物活性,二级结构未被破坏。同时研究了Cyt c在3DOM GTD/ITO修饰电极表面的直接电化学及对H2O2的电催化行为。结果显示,Cyt c在3DOM GTD/ITO修饰电极上有显著的直接电化学响应,峰电流与扫描速度呈线性关系,说明该电极过程是表面电化学控制过程。Cyt c/3DOM GTD/ITO修饰电极对H2O2具有良好的催化性能,线性范围为3.0×10-7~1.70×10-5mol/L,检出限为3.6×10-8mol/L(S/N=3),响应时间为5 s,且该修饰电极具有较好的重现性和稳定性。     

Quantification of particle-bubble interactions using atomic force microscopy: A review

The attachment of particles to bubbles in solution is of fundamental importance to several industrial processes, most notably in the process of froth flotation. During this process hydrophobic particles attach to air bubbles in solution, which allows them to be separated as froth at the surface. The addition of chemicals can help to modulate these interactions to increase the yield of the minerals of interest. Over the past decade the atomic force microscope (AFM) has been adapted for use in studying the forces involved in the attachment of single particles to bubbles in the laboratory. This allows the measurement of actual DLVO (Derjaguin, Landau, Vervey and Overbeek) forces and adhesive contacts to be measured under different conditions. In addition contact angles may be calculated from features of force versus distance curves. It is the purpose of this article to illustrate how the colloid probe technique can be used to make single particle-bubble interactions and to summarise the current literature describing such experiments.     

有序介孔有机金属 Pd(II) 的制备及其催化水介质中的 Suzuki 反应

 以有机金属 Pd 硅烷和乙基桥联硅烷为混合硅源, 在表面活性剂作用下进行共缩聚反应, 制备了有序介孔有机金属 Pd(II) 催化剂 Pd(II)-PMO(Et). 采用傅里叶变换红外光谱、核磁共振谱、X 射线衍射、透射电子显微镜和 N2 吸附脱附等手段对催化剂进行了表征. 结果表明, 与后嫁接法相比, 共聚法制得的催化剂活性位分散均匀, 孔道不易堵塞, 同时乙基修饰的孔壁增强了催化剂表面疏水性, 有利于反应物在孔道内的扩散和吸附. 在水介质 Suzuki 反应中, Pd(II)-PMO(Et) 的催化活性与均相催化剂 Pd(PPh3)2Cl2 的相当, 且可重复使用.     

功能性有序微结构的制备及潜在应用

随着科技的发展进步,具有特殊功能的有序微结构日渐引起人们浓厚的研究兴趣,并被广泛应用于微电子器件、微反应器、生物化学传感器以及光学器件等领域.本文总结了我们课题组在微观表面图案化和有序微结构制备及应用方面的研究工作,重点介绍我们在该方向工作的最新进展,并对该领域的发展前景进行了展望.     

二维扩散排序核磁共振谱法研究β-环糊精/萘普生的相互作用

采用二维扩散排序(DOSY)核磁共振法研究了萘普生与β-环糊精的相互作用,考察了不同包合因素对主客体自扩散系数及平衡常数的影响,并对萘普生与β-环糊精包合反应进行了热力学分析,以揭示萘普生与β-环糊精的包合反应机理.实验结果表明,温度、水含量、溶液pH值、离子强度等对客体萘普生的自扩散系数影响较大,但对主体环糊精自扩散...     

Three-dimensionally ordered macro-porous Pt/TiO2 catalyst used for water-gas shift reaction

Three-dimensionally ordered macro-porous (3DOM) Pt/TiO2 catalysts were prepared by template and impregna-tion methods, and the resultant samples were characterized by using TG-DTA, XRD, SEM, TEM, and TPR techniques. The catalytic performance for water-gas shift (WGS) reaction was tested, and the influences of some conditions, such as reduction temperature of catalysts, the amount of Pt loadings and space velocity on catalytic performance were investigated. It was shown that Pt particles were homogeneously dispersed on 3DOM TiO2. The reduction of TiO2 surface was important for the catalyticperformance. The activity test results showed that the 3DOM Pt/TiO2 catalysts exhibited very good catalytic performance for WGS reaction even at high space velocity, which was owing to the better mass transfer of 3DOM porous structure besides the high intrinsic activity of Pt/TiO2.     

二阶积分微分方程周期边值问题的解的存在性

通过对比结果,用单调迭代方法证明了Banach空间中二阶积分微分方程的周期边值问题的最大最小解的存在性定理。     

Speeding up the FMMR perfect sampling algorithm: A case study revisited

In a previous paper by the second author, two Markov chain Monte Carlo perfect sampling algorithms—one called coupling from the past (CFTP) and the other (FMMR) based on rejection sampling—are compared using as a case study the move‐to‐front (MTF) self‐organizing list chain. Here we revisit that case study and, in particular, exploit the dependence of FMMR on the user‐chosen initial state. We give a stochastic monotonicity result for the running time of FMMR applied to MTF and thus identify the initial state that gives the stochastically smallest running time; by contrast, the initial state used in the previous study gives the stochastically largest running time. By changing from worst choice to best choice of initial state we achieve remarkable speedup of FMMR for MTF; for example, we reduce the running time (as measured in Markov chain steps) from exponential in the length n of the list nearly down to n when the items in the list are requested according to a geometric distribution. For this same example, the running time for CFTP grows exponentially in n. © 2003 Wiley Periodicals, Inc. Random Struct. Alg., 2003     

DATA PREORDERING IN GENERALIZED PAV ALGORITHM FOR MONOTONIC REGRESSION

Monotonic regression （MR） is a least distance problem with monotonicity constraints induced by a partiaily ordered data set of observations. In our recent publication [In Ser. Nonconvex Optimization and Its Applications, Springer-Verlag, （2006） 83, pp. 25-33], the Pool-Adjazent-Violators algorithm （PAV） was generalized from completely to partially ordered data sets （posets）. The new algorithm, called CPAV, is characterized by the very low computational complexity, which is of second order in the number of observations. It treats the observations in a consecutive order, and it can follow any arbitrarily chosen topological order of the poset of observations. The CPAV algorithm produces a sufficiently accurate solution to the MR problem, but the accuracy depends on the chosen topological order. Here we prove that there exists a topological order for which the resulted CPAV solution is optimal. Furthermore, we present results of extensive numerical experiments, from which we draw conclusions about the most and the least preferable topological orders.