吡罗红为底物的辣根过氧化物酶催化荧光反应测定葡萄糖

吡罗红在辣根过氧化物酶催化下可被过氧化氢氧化而使其荧光猝灭。在pH 7.2中性介质中,稳态催化速率由酶和底物浓度决定,催化体系服从Michaelis-Menten方程,用Lineweaver-Burk作图法求得米氏常数、最大反应速度、催化常数分别为2.4×10~(-5)mol·L-1,2.5×10~(-6)mol·L-1s-1,75.8 s-1。在最佳反应条件下,荧光F0/F的猝灭程度与过氧化氢浓度在0-3.6×10~(-7)mol·L-1范围内成线性关系,检测限为6.3×10~(-9)mol·L-1;当与葡萄糖氧化酶联用时,可定量检测葡萄糖,线性关系为0-8.0×10~(-7)mol·L-1,检测限为3.4×10~(-8)mol·L-1。方法用于分析人血清中葡萄糖含量,分析结果与苯酚-4-氨基安替比林法基本一致。     

空气传导新型声发射传感器的研究

提出了一种用于刀具破，磨损监测的新型非接触声发射传感器，它直接利用空气作为声发射信号传导介质，便于安装使用，实验证明，该传感器具有较高的灵敏度和抗干扰能力，并可应用于其它声发射监测的场合。     

Photoactivity of titanium dioxide/carbon felt composites prepared with the assistance of supercritical carbon dioxide: Effects of calcination temperature and supercritical conditions

TiO2-coated carbon felt(TCF)composite catalysts have been prepared via a supercritical treatment of titanium tetraisopropoxide(TTIP)as the precursor.The physical properties of the catalysts were characterized by means of thermogravimetric and differential thermal analysis(TG–DTA),X-ray diffraction(XRD),fluorescence spectroscopy,scanning electron microscopy (SEM),and BET surface areas techniques.The photocatalytic activities of the materials were evaluated using the degradation of Congo red(CR)as a probe rea...     

Prediction of protein structural class using novel evolutionary collocation-based sequence representation

Knowledge of structural classes is useful in understanding of folding patterns in proteins. Although existing structural class prediction methods applied virtually all state-of-the-art classifiers, many of them use a relatively simple protein sequence representation that often includes amino acid (AA) composition. To this end, we propose a novel sequence representation that incorporates evolutionary information encoded using PSI-BLAST profile-based collocation of AA pairs. We used six benchmark datasets and five representative classifiers to quantify and compare the quality of the structural class prediction with the proposed representation. The best, classifier support vector machine achieved 61-96% accuracy on the six datasets. These predictions were comprehensively compared with a wide range of recently proposed methods for prediction of structural classes. Our comprehensive comparison shows superiority of the proposed representation, which results in error rate reductions that range between 14% and 26% when compared with predictions of the best-performing, previously published classifiers on the considered datasets. The study also shows that, for the benchmark dataset that includes sequences characterized by low identity (i.e., 25%, 30%, and 40%), the prediction accuracies are 20-35% lower than for the other three datasets that include sequences with a higher degree of similarity. In conclusion, the proposed representation is shown to substantially improve the accuracy of the structural class prediction. A web server that implements the presented prediction method is freely available at http://biomine.ece.ualberta.ca/Structural_Class/SCEC.html.     

含1,4-二酮吡咯并吡咯和铂的共轭聚合物的场效应性质研究

本文介绍了一种含有1,4-二酮吡咯并吡咯和铂的金属有机共轭聚合物。通过紫外-可见吸收光谱及电化学测得该聚合物的LUMO和HOMO分别为-3.4e V和-5.3e V。通过旋涂方法制备了该材料的底栅底接触场效应器件,并在退火至160℃之后测得其最高性能为:空穴迁移率1.0×10-3cm2·V-1·s-1,开关比105,阈值电压-15V。同时,通过原子力显微镜和X射线衍射对材料薄膜的退火过程进行了研究。     

钴(Ⅱ)Schiff碱螯合物及其氧加合物的合成与表征

合成了一种新的四齿Schiff碱配体N,N-亚乙基-双(1-乙酰萘酚-2(L²),两种新的钴(Ⅱ)螯合物CoL²和CoL³·H₂O(L³=N,N-亚苯基(1-苯基-3-甲基-4-苯甲酰基吡唑啉酮-5)及两种新的1:1氧加合物CoL¹·Py·O₂·2H₂O(L¹=N,N-亚乙基-双(1-苯基-3-甲基-4-苯甲酰基吡唑啉酮-5)和CoL²·Py·O₂·2H₂O。用元素分析、IR、UV、ESR、¹HNMR、MS、TGA、磁矩和电导测定进行了表征。     

图像边缘处理技术

概述了目前边缘检测技术和边界跟踪技术,归纳了一些常用的处理算法,并根据边缘检测结果提出了几种后续处理方法,边缘连接及边界跟踪提取,以得到最终的结果:目标边缘图像。     

钴(Ⅱ)螯合物及其氧加合物质谱研究

用质谱测量方法对四齿配体席夫碱L1(L1=邻苯二胺缩－1－苯基－3－甲基－4－苯甲酰基吡唑啉酮－5)、CoL2(CoL2=乙二胺缩－1－苯基－3－甲基－4－苯甲酰基吡唑啉酮－5合钴(Ⅱ)螯合物及其氧加合物(CoL2·Py·O2·2H2O)进行研究,与其它的分析、测定方法相结合,确定其组成和结构．     

一种新型卟啉席夫碱的合成

合成了一种未见报道的卟啉席夫碱5-(4-氨基苯基)-10,15,20-三苯基卟啉缩1-苯基-3-甲基-4-苯甲酰基-5-吡唑啉酮,并通过红外光谱、紫外-可见光谱、元素分析和质谱对目标产物进行了表征,并着重讨论了其紫外-可见光谱.     

前馈人工神经网络的变步长直接搜索训练算法

提出了一种用于前馈人工神经网络的变步长直接搜索训练算法，在网络学习时，以多样本在网络的各输出单元上的误差平方和作为目标函数，因它是权重系数的多元函数，这样将问题转化为多元函数的极值问题求解，对误差采取“批处理”的 权重系数的变步长直接修正方法，使该算法具有比较快的收敛速度和较高的收敛精度。