Investigation of carbon-13 nuclear magnetic resonance spectra-structure correlation based on novel atomic distance-edge (ADE) vector

A set of novel graph-theoretical parameters,called the atomic distance-edge (ADE) vector,was developed.Based on the connecting C-C bond number between central carbon atom and the other ones,various carbon atoms of alkanes were classified as four types,i.e.,type 1,2,3 and 4 for primary,secondary,ternary and quaternary carbon,respectively; and then four regression equations were obtained to link carbon-13 chemical shift (CS) of each type of atoms.Furthermore,these regression models were used to predict the carbon-13 nuclear magnetic resonance spectra of alkanes and it was found that the estimated CS were in agreement with the experimental results.     

QSAR Studies on the COX-2 Inhibition by 3,4-Diarylcycloxazolones Based on MEDV Descriptor

Selective inhibition of cyclooxygenase-2 (COX-2) might avoid the side effects of current available nonsteroidal antiinflammatory drugs while retaining their therapeutic efficacy. A novel variable selection and modeling method based on prediction is developed to construct the quantitative structure-activity relationships (QSAR) between the molecular electronegativity distance vector (MEDV) based on 13 atomic types and the biological activities of a set of selective cyclooxygenase-2 inhibitory molecules, 3,4-diarylcycloxazolones (DAA) plus indomethacin,naproxen, and celecoxib. Using multiple linear regression, a 5-variable linear model is developed with the calibrated correlation coefficient of 0.9271 and root mean square error of 0.17 in modeling stage and the validated correlation coefficient of 0.9030 and root mean square error of 0.20 in leave-one-out validation step, respectively. To further test the predictive ability of the model, 20 DAA compounds are picked up to construct a training set which is used to build a QSAR model and then the model is employed to predict the biological activities of the balance compounds. The predicted correlation coefficient and root mean square error are 0.9332 and 0.19, respectively.     

分子全息QSAR预测环境污染物的雌激素活性

某些天然和人工合成有机化学物质能够干扰人类和野生动物内分泌系统的正常功能(一般称为“内分泌干扰物质”, EDCs), 从而对人类和野生动物种群的生存和持续繁衍造成严重威胁. 鉴于人工合成化学品种类繁多、结构复杂, 发展基于结构的快速筛选方法, 对环境中污染物进行筛选和评价, 具有重要的实际意义. 应用一种新的分子结构表征方法——分子全息, 利用多变量统计方法——偏最小二乘分析(PLS), 以105种典型的环境雌激素类化合物为研究对象, 发展了完全基于分子结构的定量预测模型, 可以对环境中有机污染物的雌激素活性进行比较准确的预测和快速筛选.     

磁载光催化剂Fe3O4/C/TiO2的制备及对三氯苯酚的降解

以FeCl3为铁源,葡萄糖为碳源,钛酸四丁酯为钛源,采用水热法制备了磁载光催化剂Fe3O4/C/TiO2,用TEM、EDX、VSM、XRD和IR对Fe3O4/C/TiO2的粒径、形貌和物相等进行了表征。研究了该催化剂对三氯苯酚的降解性能,探讨了其重复使用的可能性,用荧光光谱法推测了可能的反应机理。结果表明该材料结合了光催化与可再生的优点,1 g·L-1 Fe3O4/C/TiO2在18 W紫外灯下,50 min内可将三氯苯酚降解97.9%以上,6次循环使用后降解率仍保持在95.1%,降解过程中有羟基自由基生成。     

基于新型分子距边矢量ν与多元统计方法对于烷烃13C NMR化学位移和(CSS)估计与预测的深入研究

基于本实验室提出一种新型以势能形式表达的分子距边矢量, 深入地系统研究了核磁共振碳-13谱化学位移和(CSS)规律以及分子拓扑指数矢量在定量结构波谱关系(QSSR)中的应用. 借助多种计量化学方法包括多元线性回归、逐步多元回归、主成分回归、主筛选回归等进行分子拟模和定量相关研究, 发现烷烃¹³C NMR 化学位移和(CSS)与其分子距边矢量及路径长度指数有良好线性相关性, 回归方程及其统计参数为:CSS=bν+cp₃=∑_^mj=0b_jν_j+b₁₁p₃=b₀ν+b₁ν₁+b₂ν₂+b₃ν₃+b₄ν₄+b₅ν₅+b₆ν₆+b₇ν₇+b₈ν₈+b₉ν₉+b₁₀ν₁₀+b₁₁p₃=-13.576+22.179ν₁+28.407ν₂+25 .950ν₃+26.690ν₄+14.498ν₅+5.726ν₆-5.379ν₇-3.214ν₈-15.021ν₉ -25.710ν₁₀+12.278p₃ n=63, R=0.997, EV=99.68%, RMS=3.7348, SD=4.1 18, F= 773.116, U=144228.844, Q=864.938; CV: R²_CV=0.980, EV=98.83%, RMS=7.126 1, SD_CV=7.634, F_CV=221.720, U_CV=142121.891, Q_CV=2971 .896.结果良好.     

铁路货车心盘材料的耐磨性研究

对比研究了货车心盘用ZG25MnNb钢、AAR-C级钢及经过表面强化处理的锻钢20Mn、锻钢Q345和铸钢ZG25的耐磨性能；采用金相显微镜分析了材料金相结构对其耐磨性能的影响。结果表明，对货车心盘用钢材进行表面强化能够显著改善其耐磨性能ZG25MnNb钢和经表面强化处理的锻钢20Mn的耐磨性较优；表面硬度高而组织细小的材料组成的摩擦副的耐磨性较好。     

原子距边矢量、三键数与烷烃的13C NMR化学位移

提出一个新的原子描述符-原子距边矢量(μ)来表达碳原子在烷烃中所处环境信息,用该矢量和三键数作为参数与烷烃碳原子(含2~9个碳原子共63个烷烃分子,计326个不等价碳原子)的¹³C NMR化学位移相关联,得到的多元线性回归分析结果为:标准偏差S仅0.9629ppm,相关系数R为0.9957.用所得线性方程预测得精度为:误差在1.0,1.5和2.0ppm以内的分别占83%,90%和95%.     

气相色谱/离子阱串联质谱法检测大气中的多溴二苯醚

运用气相色谱-离子阱质谱(ion trap mass spectrometry,ITMS)建立了大气中8种多溴二苯醚的二级质谱(MS/MS)检测方法。优化后的MS/MS方法对7种三溴至七溴二苯醚(BDE28、-47、-99、-100、-153、-154、-183)和十溴二苯醚(BDE209)的仪器检出限分别为0.04~0.23 pg和9.38 pg;方法检出限为6.0~27.1 pg/m3和211.6 pg/m3;6点标准曲线相关系数(r)为0.9980~0.9999。方法对8种目标物的加标回收率为79.1%~101.0%,相对标准偏差(RSD)为4.3%~14.3%(n=6)。对6份南京实际大气样品的检测结果表明:离子阱质谱的选择反应监测(selected reaction monitoring,SRM)技术能有效的降低背景干扰。优化后的MS/MS方法对目标化合物有较高的灵敏度,可应用于大气中痕量多溴二苯醚的定量检测。     

计算软件和程序在环境分析化学教学科研中的应用

结合环境分析化学的教学特点和学生的实际情况,重点介绍MINEQL+和ALSCM,BEST&SPE和QSAR中的SYBYL等计算软件及其在环境分析化学教学和科研中的应用。