聚合物孔材料的合成与应用

近年来,有关聚合物孔材料的合成及应用研究日趋活跃,已成为现代材料学研究领域的一大热点。本文分别对微孔、介孔和大孔聚合物孔材料的主要合成方法,如胶态晶体模板法、Track-eteh膜模板法、悬浮聚合法和超临界快速降压法等方法,以及聚合物孔材料在传感器材料的合成、化学分离等领域的应用进展情况进行了综述。     

共轭聚合物发光和光伏材料研究进展

聚合物光电功能材料与器件因其广阔的应用前景,1990年以年来吸引了世界各国学术界的广泛关注和兴趣.聚合物光电子器件主要包括聚合物电致发光二极管、聚合物场效应晶体管和聚合物太阳能电池等,其使用的关键材料是共轭聚合物光电子材料,包括共轭聚合物发光材料、场效应晶体管材料和光伏材料等.本文主要对共轭聚合物电致发光材料和光伏材料的研究进展进行综述,介绍了这些聚合物材料的种类、结构和性质以及在聚合物电致发光器件和聚合物太阳能电池中的应用.并讨论了当前共轭聚合物光电子材料中的关键科学问题和今后的发展方向.     

具有超级阻隔特性的液晶聚合物封装材料研究进展

液晶聚合物对小分子如水汽、氧等具有超级阻隔特性,因而其作为封装材料的使用日益受到人们的重视.本文概述了液晶聚合物结构对聚合物阻隔性能的影响,总结了小分子在液晶聚合物中的两种主要传输模型.目前广泛认同的模式是小分子在液晶相中不能渗透,聚合物中无定形区域或液晶相边界区的存在是液晶聚合物能够发生渗透的主要原因.接着总结了液晶聚合物的自由体积、液晶相态及分布对小分子在液晶聚合物中渗透行为的影响.小分子在液晶聚合物中的传输符合溶解-扩散机理.文章还对高阻隔性的测试新方法以及近年来液晶聚合物作为阻隔封装材料的应用情况作了介绍.最后分析了液晶聚合物作为阻隔材料使用存在的问题及超级阻隔液晶聚合物封装材料的发展趋势.     

高性能双极性聚合物半导体材料与晶体管器件

有机聚合物半导体材料与晶体管器件是融合了化学、材料、半导体以及微电子等学科的前沿交叉研究方向.聚合物半导体材料分子是该领域研究的重要内容,其中双极性聚合物分子半导体材料,兼具了电子和空穴的双重载流子输运能力而受到学术界的广泛关注.本文总结了双极性聚合物半导体材料与器件的研究进展,重点介绍了我们在D-A型双极性聚合物分子半导体材料设计、加工技术与器件制备以及功能应用方面的研究工作,并论述了双极性聚合物分子半导体材料与器件研究过程中存在的科学问题及发展方向.     

多功能可交联材料在聚合物太阳能电池中的应用

近年来,可交联材料在有机光电器件领域,尤其是聚合物太阳能电池领域,得到了广泛的应用研究。可交联材料作为活性层中的给体材料或受体材料以及制作有序本体异质结聚合物太阳能电池,可以提高器件的稳定性及光电转化效率。可交联材料应用于聚合物太阳能电池的电子传输层或空穴传输层,可以提高器件的开路电压、转化效率、稳定性等各项性能参数。本文根据可交联材料在聚合物太阳能电池中的功能的不同,详细地描述了可交联材料的官能团种类、处理时间、温度以及引发剂等因素对聚合物太阳能电池光电性能的影响,同时评述了可交联材料应用于聚合物太阳能电池的缓冲层及制作有序本体异质结聚合物太阳能电池的研究进展,最后展望了可交联材料在该领域的发展前景。     

用于电致发光器件的蓝光聚合物材料研究进展

聚合物电致发光材料成型加工简便、可大面积生产,可应用于大面积平板显示及固体照明器件。与红、绿光聚合物发光材料相比,蓝光聚合物电致发光材料在发光性能、材料寿命等方面仍然存在较大差距,这成为全色显示的瓶颈。通过在聚合物主链上引入大体积的取代基或侧链、形成具有三维空间共轭效应的支化结构或能量可转移的主客体结构等,来改善溶解性和光物理性能等,从而得到发光效率高、色纯度好、热力学性能优异且材料加工性能良好的蓝光聚合物电致发光材料。本文从材料设计的角度简要介绍了国内外蓝光聚合物发光材料的主要研究进展。     

聚合物纳米杂化高性能光功能材料

近年来材料科学与技术的不断发展,对光学材料提出了高性能化和多功能化的需求,为此,研究者们结合传统有机聚合物光学材料和无机光学材料的优势,提出了备受关注的聚合物纳米粒子杂化的策略.本文首先概述了针对杂化材料透光性进行控制的杂化方法,指出杂化方法的选择很大程度上与材料性质尤其是纳米相的性质相关,而杂化方法的目的则在于实现纳米杂化材料的透光性控制,纳米杂化光功能材料实现功能的前提即为透光性.随后,分别介绍了聚合物纳米杂化策略在高折射率材料与发光材料中的应用.对于高折射率材料,总结了提升材料折射率的不同策略.对于发光材料,总结了基于聚合物相和纳米相之间不同的相互作用而采用各种杂化方式以及相关的性能提升.接下来,讨论了聚合物纳米杂化光功能材料在光学和机械、热学、表面性能方面的调控手段和性能提升的策略.最后,提出了下一代光学杂化材料所面临的困难与挑战,以进一步推动这一领域的发展.     

二次锂电池聚合物正极材料研究进展

近几十年,二次锂电池作为重要的储能装置得到迅猛发展,而开发高性能的锂电池电极材料一直是电化学能源领域的研究热点之一。与传统无机正极材料相比,聚合物正极材料具有比容量高、柔软性好、廉价易得、环境友好、加工方便、可设计性强等诸多优点。本文综述了导电聚合物、共轭羰基聚合物以及含硫聚合物正极材料的结构特点、电极反应机理、电化学性能和近五年来的重大研究进展,总结了这三类聚合物电极材料的优缺点,并重点介绍了含硫聚合物电极材料中存在的问题及改进手段,最后提出了综合这三类聚合物优点的含硫共轭导电聚合物将会是该领域的研究方向。     

聚合物材料改性课程教学改革与实践

聚合物材料改性是高分子学科研究生课程体系中的重要专业课之一。该课程具有综合性、实践性及前沿性的特点。针对该课程的特点及高等教育改革的需要,对聚合物材料改性教学现状及存在的问题进行了分析,从教学体系、教学内容、教学方法、教学手段、考核方式多个方面提出了课程教学改革的一些见解,以期在有限的学时内取得较好的教学效果。实践表明,聚合物材料课程教学改革与实践探索在激发学生兴趣,提高学生的综合能力上已经初见成效。     

热致相分离法制备聚合物微孔材料

热致相分离是一种制备聚合物微孔材料的有效方法。本文介绍了聚合物初始浓度、聚合物分子量、稀释剂、冷却速率、萃取剂、聚合物密度等因素对热致相分离法制备聚合物微孔材料的影响,并对热致相分离法制备新型微孔材料的最新研究进展进行了综述。     

Metal-organic frameworks from zinc sulfite clusters, chains, and sheets: 4-connected, (3,4)-connected 3-D frameworks and 2-D arrays of catenane-like interlocking rings

Even though open-framework solids have been made in a variety of compositions such as silicates, phosphates, germanates, borates, and phosphites, few are known that are based on trigonal-pyramidal sulfite anions. We report here the first synthetic and structural studies of metal-organic framework materials in the zinc sulfite composition. It is demonstrated here that Zn2+ and SO32- can form various neutral inorganic subunits that can be 0-D clusters, 1-D chains, or 2-D sheets. These inorganic subunits of different dimensionality can subsequently be connected into extended frameworks of higher dimensionality through bifunctional ligands. In (ZnSO3)2en, infinite corrugated ZnSO3 layers are pillared by ethylenediamine (en) molecules into a 3-D network that can be classified as a (3,4)-connected net based on tetrahedral Zn nodes and trigonal-pyramidal S nodes. In (ZnSO3)pip, infinite ZnSO3 chains are cross-linked with piperazine molecules into a 3-D framework that can be classified as 4-connected net based on tetrahedral Zn nodes only. In (ZnSO3)2(TMDPy)2, (ZnSO3)2 dimers are doubly bridged by trimethylenedipyridine molecules into an infinite chain with a string of circles. Each circle along the chain is interlocked with another circle from a chain in the perpendicular direction, creating a 2-D pattern with an infinite-square array of catenane-like units.     

Heterogeneous nanostructured electrode materials for electrochemical energy storage

In order to fulfil the future requirements of electrochemical energy storage, such as high energy density at high power demands, heterogeneous nanostructured materials are currently studied as promising electrode materials due to their synergic properties, which arise from integrating multi-nanocomponents, each tailored to address a different demand (e.g., high energy density, high conductivity, and excellent mechanical stability). In this article, we discuss these heterogeneous nanomaterials based on their structural complexity: zero-dimensional (0-D) (e.g. core-shell nanoparticles), one-dimensional (1-D) (e.g. coaxial nanowires), two-dimensional (2-D) (e.g. graphene based composites), three-dimensional (3-D) (e.g. mesoporous carbon based composites) and the even more complex hierarchical 3-D nanostructured networks. This review tends to focus more on ordered arrays of 1-D heterogeneous nanomaterials due to their unique merits. Examples of different types of structures are listed and their advantages and disadvantages are compared. Finally a future 3-D heterogeneous nanostructure is proposed, which may set a goal toward developing ideal nano-architectured electrodes for future electrochemical energy storage devices.     

An improvement on the two-dimensional convolution method of image reconstruction and its application to SPECT

In single-photon emission computed tomography (SPECT) and X-ray CT one-dimensional (1-D) convolution method is used for their image reconstruction from projections. The method makes a 1-D convolution filtering on projection data with a 1-D filter in the space domain, and back projects the filtered data for reconstruction. Images can also be reconstructed by first forming the 2-D backprojection images from projections and then convoluting them with a 2-D space-domain filter. This is the reconstruction by the 2-D convolution method, and it has the opposite reconstruction process to the 1-D convolution method. Since the 2-D convolution method is inferior to the 1-D convolution method in speed in reconstruction, it has no practical use. In the actual reconstruction by the 2-D convolution method, convolution is made on a finite plane which is called convolution window. A convolution window of size N X N needs a 2-D discrete filter of the same size. If better reconstructions are achieved with small convolution windows, the reconstruction time for the 2-D convolution method can be reduced. For this purpose, 2-D filters of a simple function form are proposed which can give good reconstructions with small convolution windows. They are here defined on a finite plane, depending on the window size used, although a filter function is usually defined on the infinite plane. They are however set so that they better approximate the property of a 2-D filter function defined on the infinite plane. Filters of size N X N are thus determined. Their value varies with window size. The filters are applied to image reconstructions of SPECT.(ABSTRACT TRUNCATED AT 250 WORDS)     

Immuno-arrays for multianalyte analysis of chlorotriazines

In this paper, a novel strategy for multicomponent analysis of two classes of pesticides such as triazines (atrazine and simazine) and phenoxyalkanoic acids (2,4-dichlorophenoxy acetic acid (2,4-D), 2,4,5-trichlorophenoxyacetic acid (2,4,5-T), 4-chlorophenoxyacetic acid (CPOAc), phenoxyacetic acid (POAc)) employing immuno-arrays is demonstrated. The approach is based on cross-reactive arrays of specific antibody pairs coupled to chemometric pattern recognition. The monoclonal antibody pairs employed in this work (atrazine-simazine and 2,4-D) are specific towards a set of analytes and preclude a particular set of others present in the sample matrix. Antibody pairs of atrazine, simazine, and 2,4-D are used to discriminate and quantify analyte of interest. Atrazine was quantified in presence of trace concentration of simazine and that of 2,4-D. The combinatorial cross-reactivity of antibody pairs towards simazine, atrazine and 2,4-D is used to distinguish among different classes of analytes and their influence on the signal suppression in immuno-techniques. These sensors exclude recognition by carbamates such as carbaryl and carbofuran.     

Mass spectrometric imaging of immobilized pH gradient gels and creation of "virtual" two-dimensional gels

We have developed a matrix assisted laser desorption/ionization-time of flight (MALDI-TOF) based technique for the detection of intact proteins directly from immobilized pH gradient gels (IPGs). The use of this technique to visualize proteins from IPGs was explored in this study. Whole cell Escherichia coli extracts of various loadings were separated on IPGs. These IPGs were processed to remove contaminants and to achieve matrix/analyte cocrystallization on the surface of the gel. Mass spectra were acquired by scanning the surface of the gel and were assimilated into a "virtual" two dimensional (2-D) gel. This virtual 2-D gel is analogous to a "classical" 2-D gel, except that the molecular weight information is acquired by mass spectrometry rather than by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). This mass spectrometry (MS) based technology exemplifies a number of desirable characteristics, some of which are not attainable with classical two-dimensional electrophoresis (2-DE). These include high sensitivity, high reproducibility, and an inherently higher resolution and mass accuracy than 2-D gels. Furthermore, there is a difference in selectivity exhibited between virtual 2-D gels and classical 2-D gels, as a number of proteins are visible in the virtual gel image that are not present in the stained gels and vice versa. In this report, virtual 2-D gels will be compared to classical 2-D gels to illustrate these features.     

On graphical and numerical characterization of proteomics maps

We outlined a mathematical approach suitable for characterization of experimental data given by 2-D densitograms. In particular we consider numerical characterization of proteomics maps. The basis of our approach is to order "spots" of a 2-D map and assign them unique labels (that in general will depend on the criteria used for ordering). In this way a map is "translated" into a sequence. In the next step one associates with the generated sequence a geometrical path and views such a path as a mathematical object that needs characterization. We have ordered spots representing proteins in 2-D gel plates according to their relative intensities which results in a zigzag path that produces a complicated "fingerprint" pattern. Mathematical characterization of zigzag pattern follows similar mathematical characterizations of embedded patterns based on matrices, the elements of which are given as quotients of Euclidean distance between spots and the distance along the zigzag path. The leading eigenvalue of constructed matrices is taken to represent characterization of the original 2-D map. Comparison of different 2-D maps (simulated by using random generator) allows one to construct partial order, which although qualitative in nature gives some insight into perturbation induced by foreign agents to the proteome of the control cell.     

Electron correlations and pairing in low-dimensional systems

The many-electron system in one and two dimensions are studied within the geminal approach. The analytical expressions for the wave functions and ground-state energies are obtained for a number of 1-D and 2-D systems: conjugated polymers, organic conductors, 2-D conductors with square lattices, and others. It is shown that electron excitations of a kink type can exist in 2-D systems with mixed valency. In this case, the correlation pairing of current carriers arises as a result of correlation effects leading to superconducting properties of the system. © 1994 John Wiley & Sons, Inc.     

3-D electrode designs for flow-through dielectrophoretic systems

Traditional methods of dielectrophoretic separation using planar microelectrodes have a common problem: the dielectrophoretic force, which is proportional to nabla|E|2, rapidly decays as the distance from the electrodes increases. Recent advances in carbon microelectromechanical systems have allowed researchers to create carbon 3-D structures with relative ease. These developments have opened up new possibilities in the fabrication of complex 3-D shapes. In this paper, the use of 3-D electrode designs for high-throughput dielectrophoretic separation/concentration/filtration systems is investigated. 3-D electrode designs are beneficial because (i) they provide a method of extending the electric field within the fluid. (ii) The 3-D electrodes can be designed so that the velocity field coincides with the electric field distribution. (iii) Novel electrode designs, not based on planar electrodes designs, can be developed and used. The electric field distribution and velocity fields of 3-D electrode designs that are simple extensions of 2-D designs are presented, and two novel electrode designs that are not based on 2-D electrode designs are introduced. Finally, a proof-of-concept experimental device for extraction of nanofibrous carbon from canola oil is demonstrated.     

On 3-D graphical representation of proteomics maps and their numerical characterization

We consider numerical characterization of proteomics maps by representing a map as a three-dimensional graphical object based on x, y coordinates of the spots and using their relative abundance as the z coordinate. In our representation the protein spots are first ordered based on their relative abundance and labeled accordingly. In the next step a 3-D path is constructed connecting spots having adjacent labels. Finally a matrix is constructed by assigning to each pairs of labels (i, j) matrix element, the numerical value of which is based on the quotients of the Euclidean distance and the distance along the 3-D zigzag between the two points. The approach has been illustrated on a fragment of a proteomics map and compared with 2-D graphical representation of proteomics maps.     

Ordered 2-D and 3-D nanostructured amphiphile self-assembly materials stable in excess solvent

Amphiphile lyotropic liquid crystalline self-assembly materials are being used for a diverse range of applications. Historically, the most studied lyotropic liquid crystalline phase is probably the one-dimensional (1-D) lamellar phase, which has been employed as a model system for biomembranes and for drug delivery applications. In recent years, the structurally more complex 2-D and 3-D ordered lyotropic liquid crystalline phases, of which reversed hexagonal (H(2)) and reversed cubic phases (v(2)) are two prominent examples, have received growing interest. As is the case for the lamellar phase, these phases are frequently stable in excess water, which facilitates the preparation of nanoparticle dispersions and makes them suitable candidates for the encapsulation and controlled release of drugs. Integral membrane protein crystallization media and templates for the synthesis of inorganic nanostructured materials are other applications for 2-D and 3-D amphiphile self-assembly materials. The number of amphiphiles identified as forming nanostructured reversed phases stable in excess solvent is rapidly growing. In this article, different classes of amphiphiles that form reversed phases in excess solvent are reviewed, with an emphasis on linking phase behavior to amphiphile structure. The different amphiphile classes include: ethylene oxide-, monoacylglycerol-, glycolipid-, phosphatidylethanolamine-, and urea-based amphiphiles.