水热法制备细胞标记用CdSe半导体量子点材料

介绍了水热合成CdSe半导体纳米晶的工艺,调节反应温度及时间有助于加速CdSe纳米晶的生长,使其荧光产率得到显著提高;在一定的初始条件下,随着纳米晶核长大,产物的荧光产率单调增至极值然后逐渐下降;CdSe荧光产率的最大值与反应温度关系密切。实验利用1-乙基–1-3-(3-二甲基氨基-丙基)–碳化二亚胺将所制备的CdSe与转铁蛋白偶联成生物探针,成功标记了人肺腺癌细胞。     

影响多步脱氢酶CrtI功能的关键结构特征探索

在生物体内存在可催化多步连续反应的通用酶,对生物代谢过程具有重要作用。八氢番茄红素脱氢酶（CrtI）作为典型代表,可以催化多步连续脱氢反应,生成番茄红素等具有重要价值的产物。本文以酿酒酵母为底盘研究CrtI的催化功能特征。首先通过组合设计与筛选番茄红素合成路径中的三种外源酶CrtE、CrtB和CrtI,发现CrtI是主要的限制因素,且三孢布拉氏霉菌来源的CrtI(BtCrtI)表现出优异的催化功能。通过生物信息学与蛋白结构分析发现BtCrtI的S311残基是连接和稳定活性中心结构的关键。随后通过分析该位点的饱和突变结果,揭示了该位点的氨基酸残基类型对活性中心结构和功能的显著作用,为酶的设计和改造提供了新的思路。同时发现CrtI的活性差异未对合成路径中的类胡萝卜素的代谢流造成扰动,表明CrtI是番茄红素的产量和纯度的决定因素。     

Soft sensor modelling of acrolein conversion based on hidden Markov model of principle component analysis and fireworks algorithm

Based on the existing propylene oxidation process, it is important to measure acrolein conversion for the production of acrylic acid. The gas chromatographic analyzer is generally used to analyze the acrolein conversion as an off‐line method. In this paper, a soft sensor modelling method of acrolein conversion based on the hidden Markov model with principle component analysis (PCA) and the fireworks algorithm (FWA) is proposed. Firstly, PCA is used to decrease the input variables of hidden Markov model. Then, FWA is applied to optimize the initial parameters of the hidden Markov model. Finally, the hidden Markov model based on PCA and the FWA is employed to predict the acrolein conversion. The proposed method is compared with the support vector machine (SVM), the artificial neural network (ANN), and the hidden Markov method (HMM) to show its superior performance.     

Facile preparation of glycine-based mesoporous graphitic carbons with embedded cobalt nanoparticles

Journal of Materials Science - A simple route has been developed for the preparation of mesoporous graphitic carbons with embedded cobalt nanoparticles just using glycine as a nitrogen source,...     

The inhibition mechanism of ϵ-polylysine against Bacillus cereus emerging in surimi gel during refrigerated storage

The cover image is based on the Research Article The inhibition mechanism of Є-polylysine against Bacillus cereus emerging in surimi gel during refrigerated storage by Ruihua Su et al., DOI: 10.1002/jsfa.9505 .

     

石墨泡沫有效导热系数研究综述

石墨泡沫作为一种新型的轻质多孔材料,具有孔隙率高、比表面积大、密度低、导热系数高等优点,可应用于诸多领域。本文综述了三种研究石墨泡沫有效导热系数的方法,分别为实验研究、理论分析和数值模拟,概括了三种方法中不同泡沫模型的假设条件及适用范围,并通过分析计算与实验数据间的相对误差,得到每种模型的优、缺点。经比较发现,K.C. Leong模型在模拟泡沫内部孔隙结构上效果最好,为改进石墨泡沫有效导热系数的模型设计提供了很好的参考价值。     

侦察吊舱电磁环境复杂度定量研究及软件仿真

侦察吊舱电磁环境复杂度定量度量是构建逼真的战场环境的重要步骤,为解决侦察吊舱电磁环境复杂度难以定量度量问题,分析研究了侦察吊舱所处的电磁环境,从引起电磁环境复杂度的主要影响因素出发,结合环境复杂度因素的客观性及主观性,基于灰色层次分析法及组合理论得到环境因素复杂度计算方法,给出了一个解决定量度量电磁环境复杂度的算法.在此算法基础上提出了复杂度等价替换原理,进一步简便算法的计算难度.最终,通过典型的雷达电磁环境对算法进行验证,并通过LabWindows CVI将算法软件化,实验结果表明算法对于度量复杂电磁环境的复杂度具有一定的实用意义.     

A novel ship classification approach for high resolution SAR images based on the BDA-KELM classification model

Ship classification based on synthetic aperture radar (SAR) images is a crucial component in maritime surveillance. In this article, the feature selection and the classifier design, as two key essential factors for traditional ship classification, are jointed together, and a novel ship classification model combining kernel extreme learning machine (KELM) and dragonfly algorithm in binary space (BDA), named BDA-KELM, is proposed which conducts the automatic feature selection and searches for optimal parameter sets (including the kernel parameter and the penalty factor) for classifier at the same time. Finally, a series of ship classification experiments are carried out based on high resolution TerraSAR-X SAR imagery. Other four widely used classification models, namely k-Nearest Neighbour (k-NN), Bayes, Back Propagation neural network (BP neural network), Support Vector Machine (SVM), are also tested on the same dataset. The experimental results shows that the proposed model can achieve a better classification performance than these four widely used models with an classification accuracy as high as 97% and encouraging results of other three multi-class classification evaluation metrics.     

单分散核壳结构SiO2磁性微球的制备及性能

采用溶胶-凝胶法、酸碱两步催化法和乳液成球法制备单分散核壳结构的SiO2磁性微球,利用Leitz光学显微镜、场发射扫描电镜、X射线衍射仪、能谱仪和振动样品磁强计分别对微球的形貌、粒度分布、物相组成、化学成分和磁性能进行了表征.结果显示:采用酸碱二步催化乳液成球法制备的SiO2磁性微球显示出良好的核壳结构,粒径分布在20 μm左右,主要物相是无定形的SiO2和尖晶石型的FegO4,保持了Fe3O4磁性粒子的超顺磁性,是一种优异的生物磁性材料.