Nb+离子活化甲烷脱氢反应机理密度泛函(DFT)研究

通过DFT-UB3LYP方法, 计算了五重、三重和单重自旋态下的气相Nb+离子活化甲烷脱氢反应的能量变化, 并对其直接式和插入式反应机理进行了比较, 考察了自旋翻转对反应的影响. 结果表明, 插入式脱氢较直接式有利, CH4上的H转移到Nb+上形成的中间体HNbCH+3中, 多重度由五重降为三重, 反应活化能垒显著降低; HNbCH+3可经四中心过渡态转化为(H2)NbCH+2, 最后生成三重态的NbCH+2+H2. 速控步骤为(H2)NbCH+2的脱氢. 此外, 通过对V+, Nb+, Ta+活化甲烷的比较研究了三者活化甲烷的反应活性.     

乙烯类聚合物-炭黑复合物的PTC效应

本文以低密度聚乙烯(LDPE)和乙烯-醋酸乙烯酯共聚物(EVA)为基材,炭黑(CB)为导电微粒,探讨了聚合物-炭黑复合物的结构对正温度系数效应(PTC)增强与减弱的影响和炭黑含量与PTC效应的关系以及交联结构对PTC现象的稳定作用.     

Ca3Al2Ge3O12:Cr3+的光谱性质及晶场参数计算

为了解Cr3 离子在钙铝锗酸盐Ca3Al2Ge3O12石榴石中的光谱性质,合成了Ca3Al2Ge3O12:Cr3 多晶材料;测量了其X射线衍射图,漫反射光谱,激发、发射光谱等;分析了Cr3 离子在钙铝锗酸盐中的发光特性;计算了其晶场强度(Dq/B),Stokes位移(ΔEs)及黄昆-里斯因子(S)等.在450nm激发下,Ca3Al2Ge3O12:Cr3 室温发射光谱主要由三个宽带及附加其上的弱R线构成,分别对应于Cr3 离子的4T1、4T2、2T2到4A2能级跃迁.低温时R线变得强而锐.通过计算,Dq/B=2.43,ΔEs=1884cm-1,S=5.21.表明在Ca3Al2Ge3O12中Cr3 离子处于较弱的晶场强度,电子-声子耦合较强,为发展可调谐激光材料提供重要线索.     

自组织神经树用于3－甲基芬太尼衍生物构效关系的研究

用自组织神经树方法研究３－甲基芬太尼衍生物的镇痛活性与其结构特征参数间的非线性关系，结果表明：该网络性能良好、识别成功率高，可望成为药物构效关系研究的有效辅助手段。     

新型石墨烯-壳聚糖/二茂铁衍生物/细胞色素c修饰电极的制备及其用于亚硝酸钠的检测研究

具有共轭结构的分子导线是构筑分子电子器件的重要组成单元,而含有二茂铁单元的该类化合物具有良好的电化学性质,被广泛研究。基于此,本实验通过Sonogashira交叉偶联等反应合成了一种新型二茂铁乙炔衍生物( Fc-NH2),并经红外( IR)、核磁共振(1 H NMR和13 C NMR)、质谱( MS)和循环伏安( CV)等方法表征。利用Fc-NH2与石墨烯-壳聚糖( GH-CS)之间的相互作用制备了GH-CS/Fc-NH2复合物,并成功用于细胞色素c(Cytc)的固定,得到GH-CS/Fc-NH2/Cytc修饰电极。研究表明,GH-CS/Fc-NH2/Cytc/GCE在-0.2 V附近出现一对峰,对应于Cytc的可逆氧化还原峰。此电极对NaNO2有良好的电催化作用,在1×10-7~1.5×10-4 mol/L范围内,NaNO2浓度与氧化峰电流呈良好的线性关系,检测限低至4×10-8mol/L。此修饰电极不但可以实现细胞色素c的直接电化学,也可以用于定量检测NaNO2。     

基于时频差的正交容积卡尔曼滤波跟踪算法

针对基于时频差测量的无源跟踪中面临的非线性估计问题, 提出一种正交容积卡尔曼滤波跟踪算法. 该算法在容积卡尔曼滤波算法的基础上, 通过引入特定正交矩阵改进容积采样方法, 在高维状态估计下减小因采样产生的误差, 在没有增加计算量的前提下, 有效提高收敛速度及跟踪精度. 仿真结果表明, 在基于到达时差和到达频差的联合无源跟踪问题中, 与扩展卡尔曼滤波及容积卡尔曼滤波算法相比, 本文所提算法在跟踪性能上有明显提升.     

Vertex vector sequential projection for the resolution of three-way data

Usually, the PARAFAC2 method is utilized for handling retention time shifts in resolving chromatographic three-way data. It requires all profiles shift the same amount, which, unfortunately, seems unlikely the case in the practice of chromatographic analysis of multi-component samples. The present authors deal with the problem by unfolding the three-way data array along a certain direction into one matrix and setting up a multi-bilinear model. Then, a new method called vertex vector sequential projection (VVSP) is proposed to select pure variables and then the alternating least squares (ALS) procedure is used to iteratively improve the fit of the data to the multi-bilinear model. With a good estimate that is as close as possible to the pure variables, a fast convergence can be expected. Moreover, no prerequisite on the shifting is required and the multi-bilinear model provides a plausible manner to make use of the multi-sample information. An additional advantage is that the present fitting procedure is easier to adjust when constraints such as non-negativity, unimodality, etc., are to be imposed on the loading matrix. The proposed method is evaluated with simulated and real chemical data sets. Satisfactory resolution results are obtained, which demonstrates the performance of the proposed method.     

Adaptive configuring of radial basis function network by hybrid particle swarm algorithm for QSAR studies of organic compounds

The configuring of a radial basis function network (RBFN) consists of selecting the network parameters (centers and widths in RBF units and weights between the hidden and output layers) and network architecture. The issues of suboptimum and overfitting, however, often occur in RBFN configuring. This paper presented a hybrid particle swarm optimization (HPSO) algorithm to simultaneously search the optimal network structure and parameters involved in the RBFN (HPSORBFN) with an ellipsoidal Gaussian function as a basis function. The continuous version of PSO was used for parameter training, while the modified discrete PSO was employed to determine the appropriate network topology. The proposed HPSORBFN algorithm was applied to modeling the inhibitory activities of substituted bis[(acridine-4-carboxamide)propyl]methylamines to murine P388 leukemia cells and the bioactivities of COX-2 inhibitors. The results were compared with those obtained from RBFNs with the parameters optimized by continuous PSO and by conventionally RBFN training the algorithm for a fixed network topology, indicating that the HPSO was competent for RBFN configuring in that it converged quickly toward the optimal solution and avoided overfitting.     

TiO_2薄膜晶相转换的光谱分析

采用溶胶-凝胶法在石英玻璃衬底上用旋涂法制备了TiO2薄膜样品,对样品在800-1100℃范围内进行退火处理,并对样品进行了拉曼光谱、透射光谱和荧光发光(PL)光谱测试.拉曼谱测试表明,随退火温度的升高,样品由锐钛矿相经锐钛矿与金红石的混相最终变为金红石相.透射谱测试表明,样品的吸收带边随着样品的相转换而发生红移.在总的趋势上,样品的折射率n随相转换而升高,厚度d和带隙Eg随相转换而降低.荧光发光光谱测试表明,在557-570nm和794-812nm范围内出现了两个发光光谱带.随着相转换,557-570nm范围内的发光光谱强度由强到无,而794-812nm范围内的发光光谱强度由弱到强.     

A sensitive immunosensor using colloidal gold as electrochemical label

A sensitive immunosensor using colloidal gold as electrochemical label is described. In this method, the capture protein was first immobilized on a carbon paste electrode surface through passive adsorption to bind quantitatively with corresponding antigen and colloidal gold labeled antibody to perform a sandwich assay. To detect the amount of the colloidal gold captured on the electrode surface, the colloid was first oxidized electrochemically to produce AuCl₄⁻ ions which were adsorbed strongly on the electrode surface. Adsorptive voltammetry was then employed for the determination of the adsorbed AuCl₄⁻ ions. A linear relationship between reduction wave peak current and the antigen concentration (human IgG) from 10 to 500 ng/ml is obtained with a detection limit of 4.0 ng/ml.