离子性指数、极化效应指数与醇13C NMR δC的关系

通过对64个饱和醇类化合物中348个碳原子的¹³C NMR谱化学位移与其部分结构参数关系的研究，发现各个碳原子的¹³C NMR谱化学位移与离子性指数(INI)、极化效应指数(PEI)以及结构信息参数[Nⁱ_H(i=α、β、γ)和γ_OH]的关系可表示为： 
δ_C=[-2.3-0.8577(INI)+10.623 3(∑PEI)+0.563 0(INI/∑PEI) -0.420 8(∑PEI/INI)     

取代基性质与饱和碳及饱和碳上质子化学位移的关系

根据多元线性回归分析,得到一个表达去屏蔽参数△_α^H与基团电负性X_G的关系式:X_G=(2.6△_α^H-n)/5+2.6.¹³C NMR去屏蔽参数△_α^C与电负性之间的关系可表达为:X_G=(△_α^C+5n)/40+2.由上述二式计算出的基团电负性与文献中提供的数据相仿,说明氢谱和碳谱化学位移主要与取代基电负性及其变形性有线性关系.不过由化学位移或去屏蔽参数计算出的基团电负住不能反映芳环等具有各向异性效应基团的诱导效应.     

3（或）4—取代苯甲亚氨酸酯中取代基效应的^13C—NMR研究

本文测定了三个3(或4)-取代苯甲亚氨酸乙酯(1)和八个N-氰甲基-3(或4)-取代苯甲亚氨酸乙酯(2)的~(13)C-NMR谱。归属了1 和2和各碳化学位移。求得了的取代基化学位移(substituent Chemical Shift,SCS)。碳-13化学位移与单取代苯的取代基化学位移(SCS)的相关分析表明:4-取代苯甲亚氨酸酯1 b～g和2b～e中,除C_(2,6)外,其他各芳碳的化学位移值与加和规则基本相符;3-取代苯甲亚氨酸酯1h～j和2f～h中,除C_1外,其他各芳碳的化学位移值与加和规则基本相符。另外,本文还进行了碳-13化学位移与σ_(I)/σ_(R)~O和F/M的双参数相关分析。     

等离子体屏蔽效应对Ar~(16+)基态和激发态能级的影响

基于Rayleigh-Ritz变分原理,发展了一套处理弱耦合等离子体环境中多电子原子(离子)非相对论能量及其相对论修正的解析方法.通过考虑电子间交换相互作用以及内外壳层电子的屏蔽效应,计算了Ar~(16+)基态1s~2~1S、单激发态1sns~(1,3)S (n=2—5), 1snp~(1,3)P (n=2—5)和双激发态2snp~1P (n=2—5)非相对论能量及其相对论修正值(包括质量修正、单体和双体达尔文修正以及自旋-自旋接触相互作用项),讨论了等离子体屏蔽效应对能级的影响.结果表明:相对论质量修正和第一类达尔文修正占主导,比其他相对论修正项高出三个数量级.此外,等离子体屏蔽效应具有明显的态选择性,屏蔽效应对外壳层电子的影响大于内壳层电子,随着等离子体屏蔽参数的增加,外壳层电子轨道向外延展,激发态越高,延展程度越大.     

两种固体席夫碱15N化学屏蔽研究中的分子内氢键作用

应用量子化学基本原理,对两种固体化合物席夫碱类的¹⁵N化学位移的分子内氢键效应进行了研究.为简化计算,本文在计算过程中采用一种简化模型.其分子几何结构参数采用优化值.本文结果表明:理论值成功地再现了两种固体化合物的¹⁵N化学屏蔽值,证实了¹⁵N在分子内氢键形成过程中的屏蔽行为.本文证实当有分子内氢键形成时(大约为0.2nm),¹⁵N化学位移向高频区大约移动50ppm.本文结果对理论上定量估计氢键强度可能会有重要作用.     

19F NMR化学位移经验公式的影响因素

化学位移是核磁共振技术的重要参数,目前对¹H NMR、¹³C NMR已提出一系列估算化学位移的经验公式,但¹⁹F NMR化学位移规律研究报道则较少,以δ=B+∑△i+C化学位移通式为基础,分析屏蔽常数对化学位移的作用,并针对¹⁹F原子,分析了氟的电子云密度、立体效应、溶剂效应、氢键、标准、浓度和温度等影响因素,对¹⁹F NMR化学位移经验公式的提出提供理论依据。     

取代基效应对脂肪醇13C NMR化学位移的影响

用原子电负性、静电作用、极化度作为基本参数,并结合表征原子空间连接方式的立体效应参数,对醇分子中不同环境碳原子的化学位移进行关联, 将120个模型化合物(91个脂肪一元醇, 29个二元醇)中747个碳原子相关参数值和化学位移值带入模型中得到如下估算方程:  δ_C=42.947 9 + 63.064 0Q_i-3.628 6F+5.121 3Σα_x-6.584 8Q_iΣα_x -4.842 7N^α_H-0.585 5N^γ_H-4.104 6N^γ_OH (R=0.998 1 R²=0.996 1 S=1.14 F=27 125.2 n=747)  方程中各参数物理意义比较明确. 通过用“留一法”(LOO)检验(R_cv=0.998 0,R²_cv = 0.996 0,S_cv=1.16)及对样本外5个化合物69个碳原子化学位移的预测值和实验值比较, 结果表明模型方程具有很好的稳定性和预测精度, 该模型的提出为以后计算更加复杂化合物的¹³C NMR化学位移奠定了良好的基础.     

金属核的共振研究Ⅰ金属络合物的111Cd、113Cd、117Sn、119Sn、199Hg NMR谱

以FT-NMR法直接测定了金属络合物MPy₂Cl₂、M(bi-py)Cl₂、M(o-phen)Cl₂(M为Cd、Sn、Hg)的¹¹¹Cd、¹¹³Cd、¹¹⁷Sn、¹¹⁹Sn、¹⁹⁹Hg NMR谱,考察了溶剂、浓度、温度对金属核化学位移的影响,讨论了谱图参数变化规律及一级同位素屏蔽效应。     

一种考虑几何屏蔽效应的计算“电子-分子”散射总截面的可加性规则修正方法

在考虑分子内原子间的几何屏蔽效应随电子入射能量变化的基础上, 提出了一种能够在中、高能区准确计算“电子-分子”散射总截面的可加性规则修正方法. 利用这一修正后的可加性规则并使用“电子-C, H, O, N原子”散射总截面的实验数据, 在50—5000 eV内计算了电子被NO, N₂O, NO₂和C₂H₆分子散射的总截面, 且将计算结果与实验结果及其他理论结果进行了比较. 结果表明, 利用这一方法修正过的可加性规则进行计 关键词： 电子散射 可加性规则 总截面 几何屏蔽效应     

等离子体屏蔽效应对类氢离子束缚态的影响

在Debye屏蔽近似下,通过求解Schrödinger方程,计算了处于等离子体中的类氢离子的束缚态能量本征值与本征函数. 研究了氢原子和类氢Fe25+离子的n l ( n =1-4, l = 0-3)态能级随Debye 屏蔽长度λ的变化规律. 进一步,分析了等离子体屏蔽效应随主量子数n及角量子数l的变化规律, 发现对于给定的l, 等离子体屏蔽效应随主量子数n的增加而增大;对于给定的n,等离子体屏蔽效应随角量子数l 的增大而减小. 最后,我们分析了等离子体环境中类氢等电子序列离子的能级和波函数随屏蔽参数λ的变化规律,发现随着原子序数增大,等离子体屏蔽效应的影响逐渐变小.     

Substituent effect investigation of 3‐(2, 4‐dichlorophenyl)‐1‐(4′‐X‐phenyl)‐2‐propen‐1‐one. Part 1. Correlation analysis of 13C NMR chemical shifts

A series of substituted chlorinated chalcones namely, 3‐(2,4‐dichlorophenyl)‐1‐(4′‐X‐phenyl)‐2‐propen‐1‐one, have been synthesized, X being H, NH₂, OMe, Me, F, Cl, CO₂Et, CN, and NO₂. Dual substituent parameter (DSP) models of ¹³C NMR chemical shift (CS) have revealed that π‐polarization concept could be utilized to explain the reverse field effect at CO, the enhanced substituent field effect at CO, C‐2, and C‐5, and the decreased sensitivity of substituent field effect at C‐6. Chlorine atoms dipole direction at the benzylidene ring either enhances or reduces substituent effect depending on how they couple with the substituent dipole at the probe site. The correlation of ¹³C NMR CS of C‐2, C‐5, and C‐6 with σ and σ indicates that chlorine atoms in the benzylidine ring deplete the ring from charges. Both MSP of Hammett and DSP of Taft ¹³C NMR CS models give similar trends of substituent effects at C‐2, C‐5, and C‐6. However, the former fail to give a significant correlation for CO and C‐6 ¹³C NMR CS. MSP of σ_q and DSP of Taft and Reynolds models significantly correlated ¹³C NMR CS of C_β. MSP of σ_q fails to correlate C‐1′ ¹³C NMR CS. Investigation of ¹³C NMR CS of non‐chlorinated chalcones series: 3‐phenyl‐1‐(4′‐X‐phenyl)‐2‐propen‐1‐one has revealed similar trends of substituent effects as in the chlorinated chalcones series for C‐1′, CO, C_α, and C_β. In contrast, the substituent effect of the non‐chlorinated chalcone series at C‐2, C‐5, and C‐6 did not correlate with any substituent constant. Copyright © 2010 John Wiley & Sons, Ltd.     

平衡电负性与烷烃核磁共振碳谱位移

定义了烷烃分子中碳原子的平衡电负性(AEE),用平衡电负性和Nⁱ_H(em=0, α, β, γ)和N^j_C(j=α, β, γ)结构信息参数研究了烷烃的¹³C NMR化学位移模型.结果表明,烷烃¹³C NMR化学位移(CS)可用下式来定量描述：
CS=-1736.776+755.118AEE+5.2539N⁰_H+1.8837N^β_H-0.2066N^γH
用上式估算了99个碳原子的化学位移,标准差为0.9861ppm,平均绝对误差0.78ppm,预测值与实验值十分吻合.     

取代基效应对脂肪族链醚~(13)C NMR化学位移的影响

用原子电负性、极化度并结合表征原子空间连接方式的立体效应参数对醚分子中不同环境碳原子的化学位移进行关联,将23个脂肪醚中153个碳原子相关参数值和化学位移值带入模型中得到如下估算方程:δC=121.1348+94.3651Qi-2.0823QiΣαx-7.6347SH-47.6149SO(R=0.9990R2=0.9980S=0.85F=18478.97n=153)上式中Qi表示观测原子的部分净电荷,Σαx表示近邻原子极化度,SH,SO为立体效应参数.方程中各参数计算简单,物理意义比较明确,通过用"留一法"(LOO)检验(Rcv=0.9980,R2cv=0.9977,Scv=0.89)及对模型外4个化合物43个碳原子化学位移的预测值和实验值比较,结果表明模型具有较好的稳定性和预测精度.     

Investigation of the substituent specific cross‐interaction effects on 13C NMR of the CN bridging group in substituted benzylidene anilines

The substituent effect on ¹³C NMR of the C?N in benzylidene anilines XPhCH?NPhY was investigated, in which the substituents X and Y are in p‐position or in m‐position of the two aromatic rings. The substituent effects including the inductive effects of X and Y, the conjugative effects of X and Y, and the substituent specific cross‐interaction effect were put into one model to quantify the ¹³C NMR chemical shift δ_C(C?N) of the C?N in XPhCH?NPhY. A penta‐parameter correlation equation with correlation coefficient 0.9975 and standard error 0.17 ppm was obtained for 80 samples of compounds. The result shows that the substituents X and Y have an opposite effect on the δ_C(C?N). The electron‐withdrawing effects of X decrease the δ_C(C?N); while the electron‐donating effects of X increase the δ_C(C?N). In contrast, the electron‐withdrawing effects of Y increase the δ_C(C?N); while the electron‐donating effects of Y decrease the δ_C(C?N). A new substituent specific cross‐interaction effect parameter Δσ² was proposed, which indicates that the most substituent specific cross‐interaction effect exists in the pair of max electron‐withdrawing group (EWG) and max electron‐donating group (EDG) or the pair of max EDG and max EWG. Further to verify the obtained correlation equation, 15 samples of model compounds were prepared and their δ_C(C?N) was measured in this work. The predicted δ_C(C?N) values with the obtained equation are in good agreement with the measured ones for these prepared compounds, which confirmed the reliability of the obtained equation. Copyright © 2010 John Wiley & Sons, Ltd.     

Comparison of the 13C (C = N) chemical shifts of substituted N‐(phenyl‐ethylene)‐anilines and substituted N‐(benzylidene)‐anilines

Comparison of ¹³C NMR of C = N bond chemical shifts δ_C(C = N) in substituted N‐(phenyl‐ethylene)‐anilines XArC(Me) = NArY (XPEAYs) with that in substituted N‐(benzylidene)‐anilines XArCH = NArY (XBAYs) was carried out. The δ_C(C = N) of 61 samples of XPEAYs were measured, and the substituent effect on their δ_C(C = N) were investigated. The results show the factors affecting the δ_C(C = N) of XPEAYs are quite different from that of XBAYs. A penta‐parameter correlation equation was obtained for the 61 compounds, which has correlation coefficient 0.9922 and standard error 0.12 ppm. The result indicates that, in XPEAYs, the inductive effects of substituents X and Y are major factors affecting the δ_C(C = N), while the conjugative effect of them have very little effect on the δ_C(C = N) and can be ignored. The substituent‐specific cross‐interaction effects between X and Y and between Me of C = N bond and substituent Y are important factors affecting the δ_C(C = N). Also, the excited‐state substituent parameter of substitute Y has certain contribution to the δ_C(C = N). Copyright © 2015 John Wiley & Sons, Ltd.     

7-氧代-3-苯基香豆素的NMR谱研究

详细归属了三个7-氧代-3-苯基香豆素类衍生物的核磁共振谱(¹1H、¹³C NMR).除7-甲氧基-3-苯基香豆素的¹³C NMR谱外,上述化合物的核磁共振谱均未见报道.     

基于核磁共振技术探讨有机硅电解质物化特性

有机硅化合物是电解质材料研究的热点之一,其物理化学特性是衡量电池性能的重要参数.本文采用多种核磁共振（NMR）技术（包括¹H NMR、¹³C NMR、DOSY、⁷Li NMR、¹⁹F NMR）对有机硅化合物CN（CH₂）₂SiCH₃（OCH₂CH₂OCH₃）₂（BNS）的结构,电解液（LiPF₆/BNS）的溶剂化效应、扩散系数和热稳定性四个方面进行了分析评价,发现BNS和LiPF₆之间具有溶剂化效应;BNS的氰基（CN）和醚键（-O-）基团可与Li⁺形成络合物,且氰基配位能力优于醚键,络合键的形成促进了LiPF₆的离解和扩散,同时也提高了LiPF₆/BNS的热稳定性,证明高温下LiPF₆的分解是电解液失败的主要原因.该研究为开发新型电解质化合物及促进其性能提升提供了理论依据.     

2-环烷基苯腈的13C NMR研究

报道了7种新的2-环烷基苯腈的¹³C NMR谱.应用¹³C NMR等谱确定了这7种新化合物的分子结构,并对全部谱峰进行了归属,初步探讨了分子结构对¹³C NMR化学位移的影响.     

Long‐range transmission of substituent effects on 13C NMR chemical shifts of imine carbon in benzylidene anilines

The ¹³C NMR chemical shifts of six kinds of substituted benzylidene anilines, with different backbone conjugation length, have been used as a probe to investigate the long‐range transmission of substituent effects. In this context, it was found that for substituents Y at the aniline unit, the transmission of the inductive and conjugative effects depend on the chemical bond numbers n_(Y) between Y and the imine carbon, and the parameters n_(Y)^?2σ_F(Y) and n_(Y)^?2σ_R(Y) are suitable to scale the corrected inductive and conjugative effects, respectively. However, for substituents X, the chemical bond numbers n_(X) between X and the imine carbon influences only the transmission of inductive effects of X, and the n_(X)^?2σ_F(X) item is appropriate to evaluate the modified inductive effects of X. Similarly, Δσ_(cor)² was proposed to describe the transmitted effect of the cross‐interaction effect. With the parameters n_(X)^?2σ_F(X), σ_R(X), n_(Y)^?2σ_F(Y), n_(Y)^?2σ_R(Y), Δσ_(cor)², and δ_C(parent), the δ_C(C = N) values of 181 samples can be well correlated. The correlation coefficient is 0.9957, and the standard derivation is only 0.23 ppm. Moreover, the multi‐parameter correlation equation is predicted well the δ_C(C = N) of other 25 samples of designed conjugated benzylidene anilines. Copyright © 2012 John Wiley & Sons, Ltd.