非对称双(均三唑席夫碱)衍生物的合成及抗肿瘤活性

为寻找新结构的水溶性抗癌先导化合物, 采用氨基均三唑硫代苯丙酮(1)与氨基均三唑硫醇(2a～2e)缩合得双均三唑单席夫碱化物3a～3e, 接着依次与氨基氯乙烷和水杨醛进行亲核取代和缩合反应, 分别得到含碱性侧链的单席夫碱4a～4e和非对称双席夫碱5a～5e. 所合成新化合物的结构经元素分析和光谱数据表征, 用甲基四噻唑蓝比色法(MTT)对新化合物进行了对于CHO, HL60和L1210 3种癌细胞株的体外活性试验. 在合成的15个新化合物中, 双席夫碱结构的抗癌活性最强, 其IC₅₀值在20.0 μmol•L^－1以下, 尤其是均三唑环连有双供电子取代基时(如化合物5c), 表现出潜在的活性, 其抗癌活性与上市药物比生群相当, 具有侯选药物研究的价值.     

统计方法校正O3LYP方法计算的生成热

由于引入各种内在近似, 密度泛函理论存在固有误差. 本文采用O3LYP/6-311+G(3df, 2p)//O3LYP/6-31G(d)计算了220个中小型有机分子的生成热(Δ_fH_calc^Θ), 随后应用神经网络(ANN)和多元线性回归(MLR)方法对Δ_fH_calc^Θ进行校正. 采用计算得到的生成热、零点能、分子中原子总数、氢原子个数、双中心成键电子数、双中心反键电子数、单中心价层孤对电子数、单中心内层电子数作为ANN和MLR的描述符. 以180个分子作为训练集构造ANN或MLR模型, 并对40 个独立测试集分子的Δ_fH_calc^Θ进行了预测. 结果表明: 经过ANN和MLR校正后,训练集分子生成热的理论计算值和实验值间的均方根偏差(RMSD)从24.7 kJ·mol^-1分别降低到11.8、13.0 kJ·mol^-1; 独立测试集分子的RMSD从21.3 kJ·mol^-1分别降低到10.4、12.1 kJ·mol^-1. 因此ANN模型的拟合和预测能力要明显优于MLR模型.     

从特性粘数和GPC谱图获得数均分子量方法的误差分析

凝胶渗透色谱法(GPC)广泛用于测量高聚物的分子量及其分布,但即使是根据普适校准原理也需知道溶液体系的K、α值。已经提出了几种改进方法来估算分子量,其中文献[2]提出利用特性粘数和GPC谱图来估算平均分子量。后来有些学者从实验角度对此方法     

卷烟辅材参数与有害成分释放量的多元模型的建立、传递和验证

研究了卷烟辅材参数与有害成分释放量的关系。这些有害成分包括焦油、烟碱、CO、HCN、苯并[a]芘(B[a]P)、4-(甲基亚硝胺基)-1-(3-吡啶基)-1-丁酮(NNK)、巴豆醛、苯酚和NH3。使用多元校正分析,模型传递等化学计量学方法,对实验数据进行分析,建立了多元线性和多项式模型,通过独立验证样品和t检验确立了每种有害成分的最优模型;分析了各项辅材参数对有害成分释放量的影响权重。     

复杂样品近红外光谱定量分析模型的构建方法

针对复杂样品近红外光谱分析中校正集的设计问题, 探讨了标准样品参与复杂样品建模的可行性. 通过标准样品和复杂基质样品共同构建的偏最小二乘(PLS)模型, 考察了波段筛选和建模参数对预测结果的影响. 结果表明, 采用PLS方法建立定量模型时, 校正集样品性质应该尽量与预测集样品相似, 当样品的性质相差较大时, 适当增加校正集样品的差异性可使模型具有更强的预测能力. 同时, 波段优选对提高预测结果的准确性具有重要的意义.     

基于双二茂铁和β-环糊精之间主客体识别模式信号放大的均相电化学适体传感器用于凝血酶的灵敏检测

合成了双二茂铁化合物并用于修饰在凝血酶适配体(TBA)的两端作为电化学信号标记物,构建了一款基于双二茂铁与β-环糊精(β-CD)之间主客体识别原理进行信号扩增的均相电化学凝血酶传感器.当电化学TBA探针与凝血酶发生特异性结合后,TBA探针由原来的茎环结构变成"G-四链体",双二茂铁分子通过主客体识别作用进入修饰在金电极...     

主链含有三芳基均三嗪环的可溶性双苯基芴基聚芳醚的合成与性能

以含均三嗪环结构的双氟单体2,4-二(4-氟苯基)-6-苯基-1,3,5-三嗪(BFPT)与4,4’-联苯二酚(BP)和9,9-二(4-羟基苯基)芴(BHF)为共聚单体,经溶液亲核取代逐步聚合,合成了一系列主链含三芳基均三嗪环结构和双苯基芴结构线性聚芳醚(PEPs).反应过程经优化,得到的聚合物数均分子量高达6.3×104.采用元素分析、FTIR、NMR和H-H gCOSY等对聚合物结构进行表征,并对聚合物进行溶解性、示差扫描量热(DSC)、动态力学性能(DMA)、热失重(TGA)、机械性能等测试.由于双苯基芴基团的存在,聚合物的溶解性得到明显改善.当双苯基芴结构单元含量高于20%时,聚合物可溶于N-甲基吡咯烷酮(NMP)、氯仿(CHCl3)、四氯乙烷(C2H2Cl4)、和吡啶(pyridine)等极性溶剂中,同时保持了优异的耐热性.聚合物的玻璃化转变温度Tg由DSC测得在269~307℃之间,由DMA测得在269~291℃之间,且随着主链中双苯基芴结构的增加而升高.N2气氛下,PEPs的5%热失重温度超过544℃,800℃残碳率大于48%.     

小波分析和人工神经网络方法用于重叠色谱峰的解析

将神经网络与小波分析相结合,提出一种利用小波变换提取重叠色谱峰信息,再用人工神经网络解析的方法,为色谱峰重叠难于分开的物质的测定提供一种方法,提高了色谱分析的准确度,并将此方法应用于高效液相色谱中,建立了混合体系中3.4-二甲酚和2.5-二甲酚同时测定的新化学计量学方法.     

受迫薛罗格双匣化学反应模型的随机共振

In order to theoretically disclose the linear and nonlinear responses of the Gaussian white noise driven Schrodinger Model of Two Boxes in chemical reaction to a weak periodic perturbation, the rate equation method is used to derive the analytical expression of linear and nonlinear susceptibilities and the signal-to noise ratio according to quadrustable or bistable adiabatic approximations with in different parameter ranges.The analytically approximate result is also compared with that from numerical simulation. For the parameters under concern, the qualitative agreement is observed between the analytic and the numerical first order resonant structures when the noise intensity is not in zero limit. Moreover, the analytic results show that the resonant behavior can occur only in the odd-order harmonic of the model, but the numerical simulation also shows the second-order harmonic resonance, which might be induced by the finite frequency truncations on the Gaussian white noiseor by the indistinguish ability between high-order harmonics and background noise.     

Electrostatic Interaction between Two Planar Double Layers: A Further Extension to Langmuir's Method

A simple method for calculating the interaction force and interaction free energy per unit area between parallel flat plates with high surface potential in the case of constant surface potential and constant surface charge is presented. It is a supplement to previous works (Langmuir, 17: 2167 (2001) and J. Colloid Interface Sci., 241: 81 (2001)). Although this approximation is essentially from simplifying the nonlinear PB equation in the case of high surface potentials, these approximate expressions work quite well for small plate separations for all values of the surface potentials.     

A New Method for Calculating the Relative Permeability Curve of Polymer Flooding Based on the Viscosity Variation Law of Polymer Transporting in Porous Media

Relative permeability of polymer flooding plays a very important role in oil field development. This paper aimed to measure and calculate the relative permeability curves of polymer flooding more accurately. First, viscosity variation law of polymer in porous media was studied. Rock particles of different diameters and cementing agent were used to make artificial cores and hydrophobically associating polymer solutions were prepared for experiments. Polymer solutions were injected into the cores filled with crude oil and irreducible water. In the process of polymer flooding, produced fluid was collected at different water saturations and locations of the core. Polymer solutions were separated and their viscosities were measured. With the experimental data, the viscosity variation rule of polymer transporting in porous media was explored. The result indicates that the viscosity retention rate of polymer solutions transporting in porous media has power function relationship with the water saturation and the dimensionless distance from the core inlet. Finally, the relative permeability curves of polymer flooding were measured by unsteady state method and the viscosity variation rule was applied to the calculation of the relative permeability curves.     

中药材三七提取液近红外光谱的支持向量机回归校正方法

提出近红外光谱的支持向量机回归校正建模方法.以中药材三七渗漉提取液为实际分析对象,对其近红外光谱数据进行预处理和主成分分析后,用支持向量机回归算法建立人参皂苷R_g1,R_b1和R_d以及三七总皂苷的近红外光谱校正模型.以R_g1,R_b1和R_d的HPLC测定值及三七总皂苷的比色法测定值为参照,将本文方法与偏最小二乘回归和径向基神经网络建模方法相比较,结果表明,本文所建模型的预测准确性优于后两者,可推广应用于中药提取过程的近红外光谱分析.     

基于新能源材料与器件专业的理论教学*——绝对电位和相对电位

为培养新能源材料与器件专业学生的科研与创新能力,以新能源热点前沿“电化学还原CO₂”作为切入点,引导学生明晰绝对电位和相对电位,掌握参比电极,揭示实际电位的意义,探索将基础理论教学与科研前沿相结合。融合专业研究前沿和基础理论能激发学生的专业兴趣,让学生重视科学严谨性和前沿性,为培养能用于新能源方向、具有综合素质的专门人才奠定基础。     

共轴双脉冲激光诱导击穿光谱和最小二乘支持向量机法定量分析植物油中铬

利用共轴双脉冲激光诱导击穿光谱( DP-LIBS)技术对植物油(大豆油、花生油和玉米油)中的重金属铬( Cr)含量进行定量分析。采用Ava-Spec双通道高精度光谱仪采集样品的LIBS光谱,然后通过其LIBS谱线图确定了CN分子谱线(421.49 nm)、Ca原子谱线(422.64 nm)及Cr的3条原子谱线(425.39、427.43和428.87 nm),根据上述谱线建立了Cr元素的单变量定标模型和最小二乘支持向量机(LS-SVM)校正模型,并用验证样品对它们进行检验。研究结果表明,对于单变量定标法,大豆油、花生油及玉米油验证样品的平均预测相对误差(PRE)分别为12.57%,12.11%和13.72%;对于三变量LS-SVM法,其定标样品真实值与预测值之间的拟合度 R2分别为0.9785,0.9792和0.9654,验证样品的平均 PRE 分别为8.92%,8.33%和10.98%;对于五变量LS-SVM法(增加两基体元素谱线变量),其定标样品真实值与预测值之间的拟合度R2分别为0.9895,0.9901和0.9855,验证样品的平均PRE分别为7.46%,8.96%和8.95%。由此可知,LS-SVM校正模型性能优于单变量定标法,且五变量LS-SVM校正模型性能优于三变量LS-SVM校正模型;采用LS-SVM法及引入合适的基体元素谱线( CN、Ca)能有效减小定量分析误差,提高LIBS技术对植物油中Cr含量预测的精度。     

基于气相色谱-质谱联用和图模型分析的脂代谢异常患者血浆代谢组学研究

利用气相色谱-质谱联用技术(GC-MS)和图模型分析方法,寻找脂代谢异常患者可能的血浆代谢标志物群。采用GC-MS技术对37例脂代谢异常患者和10例健康人的血浆样品进行分析,得到血浆代谢物的表达谱。偏最小二乘-判别分析(Partial least squares-discriminant analysis,PLS-DA)得分图可区分脂代谢异常患者与健康人,运用PLS-DA载荷图及t检验发现有9个代谢物在两组间存在显著性差异。经NIST谱库检索,它们分别为缬氨酸、甘氨酸、丙氨酸、焦谷氨酸、葡萄糖醛酸、半乳糖、甘露糖、亚油酸和甘油。在脂代谢异常患者血浆中,除甘油浓度显著高于健康人外,其余8种代谢物浓度均明显低于健康人。图模型分析结果发现这些代谢物与脂代谢异常临床常用诊断指标之间具有很好的相关性。它们可能是脂代谢异常疾病早期诊断和预后新的特异性代谢标志物群。     

一种温和环醚开环成双酯的新方法

报道一种温和的环醚开环成双酯的新方法。以二氯甲烷为溶剂,五氧化二磷为氧化剂,异色满和醋酸铜于37℃开环反应10 h制得2-(2-乙酰氧基乙基)苄基乙酸酯,其结构经1H NMR,13C NMR和HR-ESI-MS确证。     

A Variable Selection Method of Near Infrared Spectroscopy Based on Automatic Weighting Variable Combination Population Analysis

Near-infrared spectroscopy (NIR) is widely used in food quantitative and qualitative analysis. Variable selection technique is a critical step of the spectrum modeling with the development of chemometrics. In this study, a novel variable selection strategy, automatic weighting variable combination population analysis (AWVCPA), is proposed. Firstly, binary matrix sampling (BMS) strategy, which provides each variable the same chance to be selected and generates different variable combinations, is used to produce a population of subsets to construct a population of sub-models. Then, the variable frequency (Fre) and partial least squares regression (Reg), two kinds of information vector (IVs), are weighted to obtain the value of the contribution of each spectral variables, and the influence of two IVs of Rre and Reg is considered to each spectral variable. Finally, it uses the exponentially decreasing function (EDF) to remove the low contribution wavelengths so as to select the characteristic variables. In the case of near infrared spectra of beer and corn, yeast and oil concentration models based on partial least squares (PLS) of prediction are established. Compared with other variable selection methods, the research shows that AWVCPA is the best variable selection strategy in the same situation. It has 72.7% improvement comparing AWVCPA-PLS to PLS and the predicted root mean square error (RMSEP) decreases from 0.5348 to 0.1457 on beer dataset. Also it has 64.7% improvement comparing AWVCPA-PLS to PLS and the RMSEP decreases from 0.0702 to 0.0248 on corn dataset.     

基于启发式算法和支持向量机算法预测醛类化合物急性毒性

应用启发式算法(HM)和支持向量机算法(SVM)建立了88种醛类化合物对大鼠急性毒性的定量构效关系模型。应用ChemOffice2004软件进行化合物的结构输入,利用半经验方法进行分子结构优化,在CODDESA软件中计算出组成、拓扑、几何、电子和量子化学参数。并用启发式方法筛选出相对阳性电荷、氧原子数量、碳原子的最小亲核反应指数、双键相对数量、碳原子数量、碳氢键之间的最大交换能量、最大σ-σ键序和双键数量8个参数,在此基础上应该多元线性回归和支持向量机方法建立QSPR模型。两种方法均得到了较好的结果,HM和SVM的交互检验的相关系数分别为0.90和0.93;通过对模型的稳定性和预测能力比较,SVM建立的QSAR模型能够更好地预测醛类化合物对大鼠急性毒性LD50。