室温离子液体在过渡金属催化反应中的应用研究进展

室温离子液体(RTILs)是在室温或近于室温下呈液态的由离子构成的盐类．如图1所示，RTILs按阳离子类型可以分为4类：烷基季铵盐离子；烷基季鳞盐离子；N，N-二烷基咪唑离子和N-烷基吡啶离子．按阴离子可分为：氯化盐 AlX3(X=卤素)和含有RF1^-,PF6^-等阴离子的离子液体．     

新型室温离子液体六烷基胍盐的制备及性质

近年来 ,离子液体 (IL)作为“绿色”溶剂受到学术和工业界的关注 .英国 BP公司和法国的 IFP等研究机构从 2 0世纪 80年代起就开始探索离子液体作为溶剂与催化剂的可能性 ,至今在离子液体体系中已实现了许多催化反应 [1～ 5] .室温离子液体 (RTIL S)是指在常温下呈液态的熔盐体系 .通常由烷基吡啶或双烷基咪唑季铵阳离子与氯铝酸根、氟硼酸根及氟磷酸根等阴离子组成 .在季铵盐类离子液体中 ,咪唑盐的合成和应用研究尤为突出 .目前 ,对于既可作为溶剂又可作为催化剂的室温离子液体的合成和应用已成为研究热点 [6 ] ,如室温离子液体 [EMI…     

树枝形结构“液体分子筛”的设计合成及性质研究

<正>离子液体是由有机阳离子和无机或有机阴离子构成在室温或室温附近温度下呈液体状态的有机物质.而聚合离子液体是一类每个重复单元中带有离子液体基团的特殊的聚电解质.这种功能性的离子液体高聚物在导电材料、有机反应催化、气体吸附以及萃取     

微波法合成离子液体1-乙基-3-甲基咪唑四氟硼酸盐的研究

离子液体(ionic liquids)是在室温下液态的一种熔融盐,又称为室温离子液体,一般由有机阳离子和无机阴离子或者有机阴离子构成,可以通过调节阴阳离子的种类来改变离子液体的性能,因此敢称为一种"可以设计的溶剂".     

含氟离子液体的研究进展

近年来人们对离子液体的兴趣不断增长。室温离子液体是一类熔点在室温附近的熔融盐,以其显著的特性在电化学、有机合成、催化、分离等领域被广泛应用。离子液体与氟化学紧密相关,离子液体中含有多种氟阴离子的烷基铵盐、咪唑盐等的合成、性质以及应用已经得到研究。离子液体的阴阳离子中氟原子数量和位置的不同,使离子液体具有不同的性质,如耐水性、耐温性、粘度、密度、表面张力、液体范围、导电性等。含氟的离子液体是离子液体的主要品种,它们凭借良好的可设计性和绿色环保的特点在当今化工工程的绿色化进程中显示出巨大的潜力和广阔的应用前景。     

新型环状六烷基胍盐室温离子液体的合成及相转移催化性质研究

离子液体是由一个大的有机阳离子和一个较小的无机或有机阴离子组成的在室温或近于室温下呈液态的熔盐体系.它对大部发有机物和部分无机物具有很好的溶解性能、无毒没有蒸气压、处于液体范围广、可以调节阳离子和负离子的结构来调节离子液体的各项性质、可重复利用等性能.近几年来,由于其独特的性质得到了世界各国化学工作者的广泛关注[1].     

离子液体包裹纳米金修饰金电极用于鲁米诺电致化学发光的研究

室温离子液体是由有机阳离子和无机阴离子或有机阴离子组成的室温熔融盐,由于其优异的化学催化、生物催化和化学反应性能而在化学和工业方面受到广泛的关注和运用.离子液体也应用于合成纳米金属材料特别是纳米金~([1～3]),纳米金作为一种化学和生物催化性能良好的纳米金属材料也应用于鲁米诺的液相电致化学发光研究~([4]).本研究将巯基功能化离子液体应用于纳米金的合成,并将不同粒径的离子液体包裹的纳米金修饰金电极然后用于鲁米诺电极化学发光的研究.     

中性分子1,3-氮氧杂环-戊-2-酮与二(三氟甲基磺酸酰)亚胺锂形成的新型室温熔盐

在目前各种室温熔融盐(也称离子液体)体系的研究热点中,正离子多以咪唑离子、吡啶离子或其它有机季铵离子类为主,特别是烷基取代的咪唑阳离子是由咪唑环上3位N原子的孤对电子与H^ 或R^ 结合形成的,实际上是一种特殊的季铵离子,其性能较为稳定.本实验室先后制备了由具有酰胺基官能团的有机物与锂盐直接复合形成的室温熔盐．研究发现,该类物质中羰基氧呈强负电性,可     

室温离子液体的研究进展

对室温离子液体的制备及性能的研究进展进行了评述。室温离子液体的阳离子多为有机含氮杂环阳离子，阴离子通常为体积较大的无机阴离子。室温离子液体用作溶剂，具有液态温度范围宽、溶解能力强、蒸气压低、粘度高、电化学窗口宽等特点，在有机合成、电化学、无机物溶液化学方面具有广阔的应用前景。     

S-烷基噻吩类离子液体及其在染料敏化太阳能电池中的应用

离子液体(或室温熔盐)是含有有机阳离子和一般无机阴离子或有机阴离子的离子材料.它们不含中性分子而且通常具有低于373K的熔点.离子液体的熔点、热和电化学稳定性、粘度,极大地受到阴/阳离子类型的影响,可以通过适当选择阴/阳离子对来调控其亲水性或亲油性错误!未找到引用源.     

离子液体的分子模拟与量化计算

分子模拟方法是研究离子液体结构与性质关系非常有效的方法,可以从分子间相互作用出发研究离子液体的微观结构、热力学和动力学性质;量子化学计算则在分子、电子水平上对离子液体的结构、性能及催化机理进行理论研究。本文综述了分子模拟方法应用于离子液体体系的研究进展,重点介绍了利用分子动力学模拟和量子化学计算方法对不同离子液体进行研究,获得离子液体的结构性质、光谱性质(红外光谱、拉曼光谱)及离子液体催化反应机理等,为探讨离子液体结构-性质的关系、离子对的作用方式、催化反应活性中心、反应途径、反应活化能、振动模式和频率以及设计功能性离子液体提供理论导向。     

QM:QM electronic embedding using Mulliken atomic charges: energies and analytic gradients in an ONIOM framework

An accurate first-principles treatment of chemical reactions for large systems remains a significant challenge facing electronic structure theory. Hybrid models, such as quantum mechanics:molecular mechanics (QM:MM) and quantum mechanics:quantum mechanics (QM:QM) schemes, provide a promising avenue for such studies. For many chemistries, including important reactions in materials science, molecular mechanics or semiempirical methods may not be appropriate, or parameters may not be available (e.g., surface chemistry of compound semiconductors such as indium phosphide or catalytic chemistry of transition metal oxides). In such cases, QM:QM schemes are of particular interest. In this work, a QM:QM electronic embedding model within the ONIOM (our own N-layer integrated molecular orbital molecular mechanics) extrapolation framework is presented. To define the embedding potential, we choose the real-system low-level Mulliken atomic charges. This results in a set of well-defined and unique embedding charges. However, the parametric dependence of the charges on molecular geometry complicates the energy gradient that is necessary for the efficient exploration of potential energy surfaces. We derive an efficient form for the forces where a single set of self-consistent field response equations is solved. Initial tests of the method and key algorithmic issues are discussed.     

An extensible interface for QM/MM molecular dynamics simulations with AMBER

We present an extensible interface between the AMBER molecular dynamics (MD) software package and electronic structure software packages for quantum mechanical (QM) and mixed QM and classical molecular mechanical (MM) MD simulations within both mechanical and electronic embedding schemes. With this interface, ab initio wave function theory and density functional theory methods, as available in the supported electronic structure software packages, become available for QM/MM MD simulations with AMBER. The interface has been written in a modular fashion that allows straight forward extensions to support additional QM software packages and can easily be ported to other MD software. Data exchange between the MD and QM software is implemented by means of files and system calls or the message passing interface standard. Based on extensive tests, default settings for the supported QM packages are provided such that energy is conserved for typical QM/MM MD simulations in the microcanonical ensemble. Results for the free energy of binding of calcium ions to aspartate in aqueous solution comparing semiempirical and density functional Hamiltonians are shown to demonstrate features of this interface. © 2013 Wiley Periodicals, Inc.     

Computing the NMR spectrum of a bulk ionic liquid phase by QM/MM methods

The dependence of (1)H and (13)C NMR chemical shifts of 1-butyl-3-methylimidazolium ([bmim])-based room-temperature ionic liquids on the counteranion ([BF(4)], [MeSO(4)]) is investigated experimentally and computationally. The local structure of the ionic liquids is investigated by means of DFT calculations of the structure of ion pairs and molecular dynamics simulations. Clusters extracted from the simulation runs are used to calculate (1)H and (13)C chemical shifts by means of QM/MM methods with various partition schemes. Proton H2 of the imidazolium ring is the most sensitive to the counteranion; its chemical shift is strongly dependent on subtle details of the arrangement of the two closest anions. It is shown that a correct spacing of signals can be attained by including the two anions closest to C2 and H2 in the QM layer.     

A versatile AMBER-Gaussian QM/MM interface through PUPIL

The PUPIL package (Program for User Package Interfacing and Linking) originally was developed to interface different programs for multiscale calculations in materials sciences (Torras et al., J Comput Aided Mater Des 2006, 13, 201; Torras et al., Comput Phys Commun 2007, 177, 265). Here we present an extension of PUPIL to computational chemistry by interfacing two widely used computational chemistry programs: AMBER (molecular dynamics) and Gaussian (quantum chemistry). The benefit is to allow the application of the advanced MD techniques available in AMBER to a hybrid QM/MM system in which the forces and energy on the QM part can be computed by any of the methods available in Gaussian. To illustrate, we present two example applications: A MD calculation of alanine dipeptide in explicit water, and a use of the steered MD capabilities in AMBER to calculate the free energy of reaction for the dissociation of Angeli's salt.     

Dynamic structures of phosphodiesterase-5 active site by combined molecular dynamics simulations and hybrid quantum mechanical/molecular mechanical calculations

Various quantum mechanical/molecular mechanical (QM/MM) geometry optimizations starting from an x-ray crystal structure and from the snapshot structures of constrained molecular dynamics (MD) simulations have been performed to characterize two dynamically stable active site structures of phosphodiesterase-5 (PDE5) in solution. The only difference between the two PDE5 structures exists in the catalytic, second bridging ligand (BL2) which is HO- or H2O. It has been shown that, whereas BL2 (i.e. HO-) in the PDE5(BL2 = HO-) structure can really bridge the two positively charged metal ions (Zn2+ and Mg2+), BL2 (i.e. H2O) in the PDE5(BL2 = H2O) structure can only coordinate Mg2+. It has been demonstrated that the results of the QM/MM geometry optimizations are remarkably affected by the solvent water molecules, the dynamics of the protein environment, and the electronic embedding charges of the MM region in the QM part of the QMM/MM calculation. The PDE5(BL2 = H2O) geometries optimized by using the QM/MM method in different ways show strong couplings between these important factors. It is interesting to note that the PDE5(BL2 = HO-) and PDE5(BL2 = H2O) geometries determined by the QM/MM calculations neglecting these three factors are all consistent with the corresponding geometries determined by the QM/MM calculations that account for all of these three factors. These results suggest the overall effects of these three important factors on the optimized geometries can roughly cancel out. However, the QM/MM calculations that only account for some of these factors could lead to considerably different geometries. These results might be useful also in guiding future QM/MM geometry optimizations on other enzymes.     

Exploring the influence of conserved lysine69 on the catalytic activity of the helicobacter pylori shikimate dehydrogenase: A combined QM/MM and MD simulations

Shikimate dehydrogenase (SDH) catalyzes the reversible, NADPH-dependent reduction of 3-dehydroshikimate to shikimate, involved in the shikimate pathway. This pathway has emerged as an important target for the development of antimicrobial agent. Structural and functional analyses suggest that the conserved Lys69 plays an important role in the catalytic activity of Helicobacter pylori (H. pylori) SDH. However, the detailed mechanism how mutation of Lys69 affects the catalytic activity of H. pylori SDH remains unclear. Here, two-layered ONIOM-based quantum mechanics/molecular mechanics (QM/MM) calculation and molecular dynamics (MD) simulations were performed to explore the role of Lys69 in the H. pylori SDH. Our results showed that in addition to act as a catalytic base, the conserved Lys69 plays an additional, important role in the maintenance of the substrate shikimate in the active site, facilitating the catalytic reaction between the cofactor NADP⁺ and shikimate. Mutation of Lys69 triggers the movement of shikimate away from the active site of SDH, thereby disrupting the catalytic activity. This result can advance our understanding the catalytic mechanism of SDH family, which may benefit of the rational design of SDH inhibitors.     

Using molecular dynamics and quantum mechanics calculations to model fluorescence observables

We provide a critical examination of two different methods for generating a donor-acceptor electronic coupling trajectory from a molecular dynamics (MD) trajectory and three methods for sampling that coupling trajectory, allowing the modeling of experimental observables directly from the MD simulation. In the first coupling method we perform a single quantum-mechanical (QM) calculation to characterize the excited state behavior, specifically the transition dipole moment, of the fluorescent probe, which is then mapped onto the configuration space sampled by MD. We then utilize these transition dipoles within the ideal dipole approximation (IDA) to determine the electronic coupling between the probes that mediates the transfer of energy. In the second method we perform a QM calculation on each snapshot and use the complete transition densities to calculate the electronic coupling without need for the IDA. The resulting coupling trajectories are then sampled using three methods ranging from an independent sampling of each trajectory point (the independent snapshot method) to a Markov chain treatment that accounts for the dynamics of the coupling in determining effective rates. The results show that the IDA significantly overestimates the energy transfer rate (by a factor of 2.6) during the portions of the trajectory in which the probes are close to each other. Comparison of the sampling methods shows that the Markov chain approach yields more realistic observables at both high and low FRET efficiencies. Differences between the three sampling methods are discussed in terms of the different mechanisms for averaging over structural dynamics in the system. Convergence of the Markov chain method is carefully examined. Together, the methods for estimating coupling and for sampling the coupling provide a mechanism for directly connecting the structural dynamics modeled by MD with fluorescence observables determined through FRET experiments.