反应型凝胶剂2,4-二烷脲基甲苯衍生物及有机溶剂的室温凝胶化研究

通常制备有机分子凝胶是在高温下溶解凝胶剂,凝胶剂分子在冷却过程中进行自组装并使有机溶剂凝胶化.该方法限制了某些低沸点溶剂的凝胶化.利用甲苯二异氰酸酯与烷基胺的高反应活性,制备了3种反应型凝胶剂.这种反应型凝胶剂能以较低的浓度在室温下使某些芳香族和卤代烃溶剂形成热可逆的有机分子凝胶.场发射扫描电镜表明这种反应型凝胶剂在有机溶剂中自组装形成纤维状三维网络结构.随着烷基胺中的烷基链长度不同,形成的纤维状聚集体的形态也不同.FT-IR和1H NMR研究表明分子间氢键作用是反应型凝胶剂自组装的驱动力.通过XRD和分子模拟推测了其聚集体的结构形态.     

非线性缩聚反应的树状胶和环状胶的反应程度

将Aa1,… ,Aas Bb1,… ,Bbt型缩聚反应的凝胶反应程度分解为树状胶和环状胶反应程度 ,得到了它们的表示式 .这两个反应程度对揭示凝胶点后的凝胶网络性质是很重要的 .进一步讨论了配料比对树状胶和环状胶反应程度的影响     

高分子凝胶化反应的分形几何分析

据分形理论,基于实验基础上,进行了高分子凝胶化反应的分形几何行为分析,以苯乙烯-二乙烯苯凝胶化反应为例,分别由激光及小角x-光散射测定其反应中大分子重量、尺寸及散射光强角度依赖性,来定量描述化学反应及分析体系的分形行为和测定分数维D值.这种避开各种复杂的凝胶化理论,立足于现代物理技术及新理论,去剖析高分子凝胶化反应的分形几何行为,能够在更本质的深度揭示这类复杂反应的规律.     

含铅聚合物微凝胶与硫化氢反应前后在良溶剂中的分子扩散行为

用溶液聚合法制备出轻度交联的含铅微凝胶,用光子相关光谱技术测定其在良溶剂中与H2S反应前、后的扩散行为,由外推法得到在浓度无限稀时的分子扩散系数,给出微凝胶的流体力学半径。结果表明:相同量的含铅微凝胶在不同的初始浓度下与H2S反应,生成含PbS纳米微粒的凝胶；但其体积增大不同,这说明H2S与含铅微凝胶的反应既可以在分子内也可以在分子间进行,分子间的反应使含硫化铅微凝胶扩散系数随浓度的变化曲线的线性范围变小。     

非线性Af一Bg型自由基交替共聚反应的固化理论

利用高分子反应统计理论,给出了非线性Af-Bg型自由基交替共聚反应的溶胶-凝胶分配方程和反应体系的凝胶化条件,这些结果是进一步研究与凝胶网络性能相关的网络结构参数的基础．     

光聚合水凝胶及其在组织工程中的应用

水凝胶是一种亲水性聚合物网络,可以溶胀大量水,其物理性质接近软组织.光聚合与传统的聚合方法相比,具有反应速率快、反应条件缓和、反应放热低等特点.因此,光聚合水凝胶广泛应用于生物医学领域.本文介绍了光聚合水凝胶材料,并详细论述了光聚合水凝胶在药物释放体系、组织工程支架材料、细胞受控生长、细胞微囊化和可注射水凝胶等方面的应用.可以预见光聚合水凝胶作为生物材料在组织工程及再生医学领域中具有良好的应用前景.     

基于无铜点击反应的水凝胶合成

水凝胶是一种交联高分子材料, 在药物传输、传感器技术、组织工程中发挥重要作用。通过高效率和高精确度的点击反应合成水凝胶, 具有快速、模块化以及副反应少等优点, 并且能够得到近乎理想的网络结构。Cu（Ⅰ） 催化的叠氮-炔之间的环加成 （CuAAC） 反应作为点击反应的典型代表, 已广泛应用于水凝胶的制备。但由于该反应在制备水凝胶的过程中使用了Cu（Ⅰ） 催化剂, 导致产品易被金属铜盐污染, 从而使该反应在其制备领域受到限制。基于此, 无铜点击反应,如巯基-烯/炔反应、呋喃/蒽-马来酰亚胺 （MI） 修饰的 Diels-Alder 环加成 （D-A） 反应以及环张力促进的叠氮-炔环加成反应 （SPAAC） 已经被应用到水凝胶的制备以及功能化方面。本文就近年来上述无铜点击反应在水凝胶合成及功能化方面的应用进行综述, 并对其发展趋势进行展望。     

含铅聚合物微凝胶与硫化氢反应前后在良溶剂中的分子扩散行为

用溶液聚合法制备出轻度交联的含铅微凝胶,用光子相关光谱技术测定其在良溶剂中与H₂S反应前、后的扩散行为,由外推法得到在浓度无限稀时的分子扩散系数,给出微凝胶的流体力学半径。结果表明:相同量的含铅微凝胶在不同的初始浓度下与H₂S反应,生成含PbS纳米微粒的凝胶;但其体积增大不同,这说明H₂S与含铅微凝胶的反应既可以在分子内也可以在分子间进行,分子间的反应使含硫化铅微凝胶扩散系数随浓度的变化曲线的线性范围变小。     

柠檬酸铝/聚丙烯酰胺胶态分散凝胶反应动力学和机理的研究

采用粘度法研究了柠檬酸铝（AlCit)与部分水解取丙烯酰胺（HPAM）胶态分散凝胶体系的反应动力学。结果表明，胶态分散凝胶体系的交联反应是一级反应。并推导出胶态分散凝胶体系的反应动力学方程。     

反应型二烷基脲凝胶剂及有机溶剂的室温凝胶化研究

通常制备有机分子凝胶是在高温下溶解凝胶剂,凝胶剂分子在冷却过程中进行自组装并使有机溶剂凝胶化。该方法限制了某些低沸点溶剂的凝胶化。利用甲苯二异氰酸酯与烷基胺的高反应活性,制备了三种不同烷基链长的反应型凝胶剂甲苯–2, 4–二（N, N’ –烷基）脲。这种反应型凝胶剂能以较低的浓度在室温下使某些芳香族和卤代烃溶剂中形成热可逆的有机分子凝胶。不同烷基链长的亲溶剂作用以及溶剂性质对有机分子凝胶的形成有较大影响。场发射扫描电镜表明这种反应型凝胶剂在有机溶剂中自组装形成纤维状三维网络结构。烷基链长度不同,形成的纤维状聚集体的形态也不同。红外光谱（FT-IR）和核磁共振波谱（1H-NMR）研究表明分子间氢键作用是这种凝胶剂自组装的驱动力。通过X射线衍射（XRD）和分子模拟推测了其聚集体的结构形态。     

核磁共振代谢组学数据预处理中的自适应分段积分方法

提出一种用于核磁共振代谢组学数据预处理的自适应分段积分方法. 通过计算各数据点统计特性, 并根据相邻数据点的统计差特性进行自适应积分, 克服了目前普遍采用的等间隔分段积分法可能存在的缺陷(如统计差异性相反的信号相互抵消、微弱特征信号被掩盖及谱图信噪比下降等), 从而避免了对后续统计分析所产生的负面影响. 为比较自适应分段积分和等间隔积分对数据预处理的效果, 分别采用计算机模拟数据和饮食差异人群两种模型进行分析. 研究结果表明, 新方法能够有效地削弱噪声和非特异信号的影响, 提高后续的主成分分析结果的可靠性, 使代谢组学数据分析更具生物学意义.     

Ab initio exchange-correlation parameter in the Xα method

The method of statistical exchange-correlation parameter is presented. It has been shown that there is only a small difference between the self-consistent, the statistical, and the α_HF parameters. We suggest using statistical exchange-correlation parameters in molecular calculations.     

The quality of QSAR models: problems and solutions†

Assessment of the quality of goodness-of-fit and the confidence in predictivity (prediction power) are the main terms used to define the statistical quality of QSAR models. Three parts of this assessment can be defined as:

(1)?Measure of goodness-of-fit.

(2)?Validation of model stability.

(3)?Predictivity analysis.

Currently there are no mandatory requirements for the validation methods to be used and rules for the quantitative confidence estimates. To compare the statistical quality of QSAR models it is necessary to have an overall statistical quality index which will depend on the goodness-of-fit, validation and predictivity results together. To do so it is necessary to define the set of mandatory parameters for all three parts of assessment listed above and develop the approach for overall quality estimates based on these parameters. It is also necessary to include into the overall index the penalty mechanism for parameter absence. The goal of the present study is to analyse parameters for all three parts of the QSAR model statistical quality assessment and investigate the flexible weighting approach for the overall statistical quality index development. Due the different statistical parameters traditionally used for assessment of goodness-of-fit it is necessary to create the mechanism, which allows flexible set of parameters to be used for the overall statistical quality index. Only after approval by scientific community and regulatory boards the final set of mandatory parameters can be selected.     

Statistical mechanical treatment of protein conformation. I. Conformational properties of amino acids in proteins.

A statistical mechanical (one-dimensional Ising model) treatment, based on the dominance of short-range interactions, is developed in this series of papers; it is intended as an improvement over empirical prediction schemes for obtaining approximate initial conformations of proteins (to be used to try to deduce the native conformation by subsequent energy minimization). In the present paper, the statistical weights for a two-state model (alpha-helical and other conformations) and for a three-state model (alpha-helical, extended, and other conformations) are evaluated from x-ray data on 16 native proteins. The method for evaluating the statistical weights is presented. Asymmetric alpha-helical nucleation parameters are also evaluated for the 20 naturally occurring amino acids. On the basis of these statistical weights, the conformational properties of the twenty naturally occurring amino acids are discussed. The statistical weights evaluated from x-ray data are also discussed in comparison with experimental results on the helix--coil transition in polyamino acids in solution. The predominant role of short-range interactions, and some possible long-range effects in determining the statistical weights, are discussed in conjunction with the mechanism of protein folding.     

The quality of QSAR models: problems and solutions

Assessment of the quality of goodness-of-fit and the confidence in predictivity (prediction power) are the main terms used to define the statistical quality of QSAR models. Three parts of this assessment can be defined as: (1) Measure of goodness-of-fit. (2) Validation of model stability. (3) Predictivity analysis. Currently there are no mandatory requirements for the validation methods to be used and rules for the quantitative confidence estimates. To compare the statistical quality of QSAR models it is necessary to have an overall statistical quality index which will depend on the goodness-of-fit, validation and predictivity results together. To do so it is necessary to define the set of mandatory parameters for all three parts of assessment listed above and develop the approach for overall quality estimates based on these parameters. It is also necessary to include into the overall index the penalty mechanism for parameter absence. The goal of the present study is to analyse parameters for all three parts of the QSAR model statistical quality assessment and investigate the flexible weighting approach for the overall statistical quality index development. Due the different statistical parameters traditionally used for assessment of goodness-of-fit it is necessary to create the mechanism, which allows flexible set of parameters to be used for the overall statistical quality index. Only after approval by scientific community and regulatory boards the final set of mandatory parameters can be selected.     

A simulation study to evaluate the statistical noise and spatial resolution in image reconstruction of emission computed tomography--with respect to the optimization of the filter function in the convolution integral

Filtered backprojection method has been commonly used to reconstruct images in the field of the computed tomography (CT). However, in the emission CT such as positron and single photon CT, poor counting static which are caused by limited dosage to patients, limited counting rate capacity and limited efficiency of the imaging device, produce a statistical noise in the reconstructed image. The magnitude of the statistical noise and the spatial resolution were evaluated for various shapes of the filter used in the convolution integrals of the filtered back-projection procedure. The statistical noise was proportional to the inverse of the root of the total number of counts for any filters. The high-frequency-cut characteristic of the filter reduced the statistical noise, but increased the spatial resolution in the images. It was possible to optimize the shape of the filter for given total number of counts and required statistical noise and spatial resolution.     

~（13）C_（60）气相统计熵及热容的计算

采用统计热力学方法及理想气体模型计算了气相~（１３）Ｃ_（６０）分子在１０１３２５Ｐａ压力及不同温度下的统计熵与热容。给出了统计熵与热力学温度Ｋ之间的关系，以及等容热容和等压热容与热力学温度Ｋ之间的关系表达式。     

C6H6分子振动能谱的涨落统计特征

The statistical properties of vibrational energy levels in C6H6 are analyzed. The results show that they belong to a completely different type, of which the spectral rigidity is larger but the fractal dimensional function is smaller than both the Wigner law and Poisson law, and this new statistical property is called the low Poisson law. In fact, this special statistical property reflects the speciality in the structure of C6H6 in a way.