基于受激布里渊散射的波长间隔可变多波长光纤激光器

提出了一个基于自激发受激布里渊散射的波长间隔可变多波长光纤激光器.利用单模光纤中自激发产生的非线性布里渊增益和掺铒光纤的线性增益组成混合增益光纤激光器,从而使光纤激光器在室温下产生稳定的多波长输出.改变双折射光纤环镜滤波器中保偏光纤的长度,可以实现波长间隔可变多波长激光产生,提高了多波长光纤激光器操作的灵活性和实用性.实验实现了波长间隔从0.8nm至0.076nm可变的多波长激光产生,波长数随波长间隔减小而增加,间隔为0.08nm的激光波长数达86.     

纳米二氧化钛的制备及Eu~(3+)掺杂发光研究

以钛酸四丁酯为前驱物,采用溶胶-凝胶法制备了四种不同配方Eu3+掺杂的TiO2纳米晶.利用扫描电镜(SEM)、EDS能谱、光致发光光谱对样品的形貌、成份及性能进行了表征.研究了退火温度、稀土Eu3+离子掺杂摩尔分数、溶剂乙醇量等对发光性能的影响,并对其发光机理进行了探讨.结果表明:稀土Eu3+掺杂TiO2纳米晶样品,掺杂均匀、颗粒大约在30～80nm;从EDS能谱分析可得Ti:O原子个数比并不是按化学计量TiO2满足1:2,这是因为在TiO2中形成的是Ti-O-Ti键,Eu3+离子很可能取代了Ti4+离子,同时又形成了氧空位,表明稀土Eu3+离子进入TiO2晶格中;样品的主发射峰在614nm(5D0→7F2)处发光最强,且在593nm(5D0→7F1)处出现了属于磁偶极跃迁的发射峰,制备Eu3+∶TiO2纳米晶的组分、退火温度、溶剂乙醇的量不同,发射光谱的强度也不同.     

微波消解-AAS测定柑橘中9种微量元素含量

采用石墨炉和火焰原子吸收光谱法(AAS),测定了温州特产瓯柑和樟橘的果皮、肉汁和外衣中的9种微量元素。结果表明,果皮、果肉汁和外衣中含有丰富的人体必需的微量元素,且外衣和果皮中的微量元素含量高于肉汁中的微量元素含量。这为瓯柑和樟橘药效功能的综合开发利用提供科学依据。     

流动注射-氢化物发生原子吸收光谱法测定飞灰、炉渣中的汞和砷

采用流动注射-氢化物发生原子吸收光谱法测定飞灰、炉渣中的汞和砷。在酸性介质中,用硼氢化钾作还原剂,通过载气导入电热石英吸收管,在波长253.7nm和193.7nm处分别对汞、砷进行测定。结果表明,该方法对汞和砷的检出限分别为0.27ng/mL,0.16ng/mL,回收率分别为97.8%、96.7%。该法操作简便、快速、灵敏度高,对实际样品的测定结果令人满意。     

液晶全漏导模的实验研究

夹在2块玻璃基板之间的液晶可以形成波导层,光在其间传播形成导模.通过全漏波导技术,分别对扭曲向列相液晶盒施加不同电压进行测试,得到了依赖于角度变化的反射率(包括偏振保存和偏振转换)实验曲线.液晶指向矢的变化将直接影响反射率变化,验证了液晶全漏波导技术在探索液晶盒内部细微变化方面是有效手段.     

一种改进的SUSAN角点提取方法

针对基本SUSAN算法存在漏检测、处理速度慢以及容易产生伪角点等问题,提出了一种改进的SUSAN角点提取算法。首先对图像的像素点按边缘点、内部点和背景点进行分类,在此基础上只对边缘点进行SUSAN算法处理,然后检查已经提取到的所有角点,剔除同一区域范围内的伪角点,从而实现对大部分角点的快速、准确提取。实验结果表明,该算法的运算速度比改进前提高约一倍,能够较准确地检测到目标角点。     

Off-line form of the Michaelis-Menten equation for studying the reaction kinetics in a polymer microchip integrated with enzyme microreactor

We firstly transformed the traditional Michaelis-Menten equation into an off-line form which can be used for evaluating the Michaelis-Menten constant after the enzymatic reaction. For experimental estimation of the kinetics of enzymatic reactions, we have developed a facile and effective method by integrating an enzyme microreactor into direct-printing polymer microchips. Strong nonspecific adsorption of proteins was utilized to effectively immobilize enzymes onto the microchannel wall, forming the integrated on-column enzyme microreactor in a microchip. The properties of the integrated enzyme microreactor were evaluated by using the enzymatic reaction of glucose oxidase (GOx) with its substrate glucose as a model system. The reaction product, hydrogen peroxide, was electrochemically (EC) analyzed using a Pt microelectrode. The data for enzyme kinetics using our off-line form of the Michaelis-Menten equation was obtained (K(m) = 2.64 mM), which is much smaller than that reported in solution (K(m) = 6.0 mM). Due to the hydrophobic property and the native mesoscopic structure of the poly(ethylene terephthalate) film, the immobilized enzyme in the microreactor shows good stability and bioactivity under the flowing conditions.     

Local lazy regression: making use of the neighborhood to improve QSAR predictions

Traditional quantitative structure-activity relationship (QSAR) models aim to capture global structure-activity trends present in a data set. In many situations, there may be groups of molecules which exhibit a specific set of features which relate to their activity or inactivity. Such a group of features can be said to represent a local structure-activity relationship. Traditional QSAR models may not recognize such local relationships. In this work, we investigate the use of local lazy regression (LLR), which obtains a prediction for a query molecule using its local neighborhood, rather than considering the whole data set. This modeling approach is especially useful for very large data sets because no a priori model need be built. We applied the technique to three biological data sets. In the first case, the root-mean-square error (RMSE) for an external prediction set was 0.94 log units versus 0.92 log units for the global model. However, LLR was able to characterize a specific group of anomalous molecules with much better accuracy (0.64 log units versus 0.70 log units for the global model). For the second data set, the LLR technique resulted in a decrease in RMSE from 0.36 log units to 0.31 log units for the external prediction set. In the third case, we obtained an RMSE of 2.01 log units versus 2.16 log units for the global model. In all cases, LLR led to a few observations being poorly predicted compared to the global model. We present an analysis of why this was observed and possible improvements to the local regression approach.     

Determination of volatile residual solvents in pharmaceutical products by headspace liquid-phase microextraction gas chromatography-flame ionization detector

This paper demonstrates headspace liquid-phase microextraction (HS-LPME) as used for the determination of volatile residual solvents in pharmaceutical products. This method is based on headspace liquid-phase microextraction capillary column gas chromatography. Under optimum conditions, the linerary of the method ranged from 1 to 1,000 mg l⁻¹. The limits of detection are 0.2–2.0 mg l⁻¹ and relative standard deviations (RSD) for most of the volatile solvents were below 10%. This novel method is applied to the analysis of volatile residual solvents in pharmaceutical products with satisfactory results.     

新型含苯并磷杂环戊二烯结构荧光分子的合成及性能

以三苯胺、咔唑为电子给体, 苯并磷杂环戊二烯氧化物为电子受体, 设计合成了一类新颖的D-A-D 型荧光分子, 其结构经¹H NMR, ¹³C NMR, ³¹P NMR, IR和MS确认。通过紫外可见吸收光谱和荧光光谱系统研究了不同给体和受体单元对荧光分子的紫外吸收、液体荧光、固体荧光、溶致变色及聚集诱导发光等光物理性能的影响。结果表明：合成的三种分子具有良好的液体和固体荧光性能;化合物TBN-EPIO具有显著的溶致变色效应, 在四氢呋喃-水二元溶剂体系中, 具有聚集诱导发光(AIE)效应。此外, 利用密度泛函理论计算了分子的几何构型及前线分子轨道电子云。