顶空气相色谱法测定工作场所空气中的乙酸乙酯

采用顶空气相色谱法测定工作场所空气中的乙酸乙酯。气态乙酸乙酯用活性炭管吸附,二氯甲烷解吸,顶空进样,HP–FFAP毛细管柱分离,FID检测器测定,峰面积定量。乙酸乙酯的质量浓度在1.76~880.0μg/m L范围内与色谱峰面积呈良好的线性,相关系数r=0.999 4。不同浓度样品批内测定结果的相对标准偏差为1.34%~3.61%(n=7),批间测定结果的相对标准偏差为1.04%~4.78%(n=7),加标回收率为91.02%~100.29%,方法检出限为0.32μg/m L,解吸效率为91.28%~95.19%。对于100 mg活性炭,乙酸乙酯的穿透容大于2.2 mg,当其浓度在17.6~17 600 mg/m3时,采样效率为91.23%~97.40%,常温下可以保存10 d。该方法各项指标均达到《工作场所空气中有毒物质检测方法研制规范》的要求,适用于工作场所空气中乙酸乙酯的现场监测。     

Ag@AgCl embedded on cellulose film: a stable,highly efficient and easily recyclable photocatalyst

In this work, cellulose–Ag@AgCl composite films have been fabricated directly through a one-step coagulation of a cellulose/1-butyl-3-methylimidazolium chloride (BmimCl) solution with AgNO₃ and PVP. The AgCl was formed upon the addition of AgNO₃ to a cellulose/BmimCl solution, and underwent further reaction with excess Cl^?, leading to the complete dissolution of AgCl. The AgCl crystals were regenerated on the cellulose matrix during the coagulation process. The AgCl was partial decomposed to Ag⁰ and formed Ag@AgCl under visible light irradiation. The morphology of Ag@AgCl in the cellulose matrix was controlled by varying the concentration of PVP. The addition of PVP enabled the formation of stable cellulose films embedded with Ag@AgCl. The composite film demonstrated efficient photodegradation of methyl orange, which was retained upon recycling. This work thus provides a simple pathway for the preparation of Ag@AgCl embedded on a polymer support via one-step coagulation.     

萘磺酸型离子配合物的合成及其分子识别性能

常温反应条件下制备了4个基于乙二胺和1,5-萘二磺酸的配位化合物[M(en)(H_2O)_4]·1,5-nds·(H_2O)_2(M=Ni(1),Co(2),Cd(3),Cu(4),nds=1,5-萘二磺酸;en=乙二胺),并通过红外光谱、元素分析、X射线单晶衍射、X射线粉末衍射和热重分析等技术手段确定了其晶体结构。结构分析表明,该系列配合物属于同构体系,单斜晶系,C2/c空间群。以配合物1为例,其晶胞参数为a=1.69026(19)nm,b=1.01373(11)nm,c=1.3448(3)nm,α=90°,β=120.2650°,γ=90°,V=1.9901(5)nm~3,Z=4,Dc=1.713 g/cm~3,F(000)=1072,R_1=0.0326,wR_2=0.0867。该系列配合物的中心金属为六配位模式,与来自乙二胺的2个N原子和4个H_2O中的氧原子配位。游离水与磺酸氧和配位水之间存在着丰富的氢键作用,构筑成三维的网络结构。测定了以Cd为中心金属配合物3的荧光光谱,发现其在对于甲醇的小分子识别性能方面具有应用前景。     

Mixed-mode I/II fields around a crack with a cohesive zone ahead of the crack tip

Considering a cohesive zone ahead of the crack tip, the linear elastic crack problem under Mode I, Mode II or mixed-mode conditions is formulated in an elliptic coordinate system, so that the cohesive surfaces are conveniently represented by straight line segments. It is shown that the displacement and stress fields around the crack tip and the cohesive zone, expressed in terms of elliptic coordinates, have a simple mathematical form, which does not contain a stress singularity at the crack tip due to the existence of the cohesive zone.     

Analysis of the human urine endogenous peptides by nanoparticle extraction and mass spectrometry identification

Peptides in urine are excreted by kidney from the blood and tissues, which are composed of a large amount of hormones, cytokines, regulatory factors and the metabolized fragments of proteins. The peptide distribution in urine will reflect the physiological and pathophysiological processes in body. In past, limited information was reported about the composition of the peptides in urine. One possible reason is that the peptides in urine are fairly low abundant and there are high concentrations of salts and organic metabolites in the urine. In this report, we extracted the peptides from human urine by highly ordered mesoporous silica particles with the pore size of 2 nm, which will exclude the high molecular weight proteins over 12 kDa. The extracted peptides were then separated into fractions according to their molecular weight by size exclusion chromatography. Each of the fractions was further analyzed by MALDI-TOF MS and μRPLC–MS/MS. Totally, 193 peptides were identified by two-dimensional SEC/μRPLC–MS/MS analysis. By analyzing the progenitor protein of the peptides; we found that two-thirds of the proteins differed from the reported urine proteome database, and the high abundant proteins in urine proteome were less detected in the urine peptidome. The developed extraction and separation methods were efficient for the profiling of the endogenous peptides in human urine. The peptidome in human urine was complementary to the human urinary proteome and may provide an emerging field for biomarker discovery.     

Knowledge-based scoring functions in drug design: 2. Can the knowledge base be enriched?

Fast and accurate predicting of the binding affinities of large sets of diverse protein?ligand complexes is an important, yet extremely challenging, task in drug discovery. The development of knowledge-based scoring functions exploiting structural information of known protein?ligand complexes represents a valuable contribution to such a computational prediction. In this study, we report a scoring function named IPMF that integrates additional experimental binding affinity information into the extracted potentials, on the assumption that a scoring function with the "enriched" knowledge base may achieve increased accuracy in binding affinity prediction. In our approach, the functions and atom types of PMF04 were inherited to implicitly capture binding effects that are hard to model explicitly, and a novel iteration device was designed to gradually tailor the initial potentials. We evaluated the performance of the resultant IPMF with a diverse set of 219 protein-ligand complexes and compared it with seven scoring functions commonly used in computer-aided drug design, including GLIDE, AutoDock4, VINA, PLP, LUDI, PMF, and PMF04. While the IPMF is only moderately successful in ranking native or near native conformations, it yields the lowest mean error of 1.41 log K(i)/K(d) units from measured inhibition affinities and the highest Pearson's correlation coefficient of R(p)2 0.40 for the test set. These results corroborate our initial supposition about the role of "enriched" knowledge base. With the rapid growing volume of high-quality structural and interaction data in the public domain, this work marks a positive step toward improving the accuracy of knowledge-based scoring functions in binding affinity prediction.     

Knowledge-based scoring functions in drug design: 3. A two-dimensional knowledge-based hydrogen-bonding potential for the prediction of protein-ligand interactions

Hydrogen bonding is a key contributor to the molecular recognition between ligands and their host molecules in biological systems. Here we develop a novel orientation-dependent hydrogen bonding potential based on the geometric characteristics of hydrogen bonds observed in 44,585 protein-ligand complexes. We find a close correspondence between the empirical knowledge and the energy landscape inferred from the distribution of HBs. A scoring function based on the resultant hydrogen-bonding potentials discriminates native protein-ligand structures from incorrectly docked decoys with remarkable predictive power.     

Ru-catalyzed asymmetric hydrogenation of γ-heteroatom substituted β-keto esters

A series of enantiomerically pure γ-heteroatom substituted β-hydroxy esters were synthesized with high enantioselectivities (up to 99.1% ee) by hydrogenation of γ-heteroatom substituted β-keto esters in the presence of Ru-(S)-SunPhos catalyst. These asymmetric hydrogenations provide key building blocks for a variety of naturally occurring and biologically active compounds.     

Synthesis of (S)-7-amino-5-azaspiro[2.4]heptane via highly enantioselective hydrogenation of protected ethyl 1-(2-aminoaceto)cyclopropanecarboxylates

Highly effective asymmetric hydrogenation of protected ethyl 1-(2-aminoaceto)cyclopropane carboxylates in the presence of [RuCl(benzene)(S)-SunPhos]Cl was realized, and high enantioselectivities (up to 98.7% ee) were obtained. This asymmetric hydrogenation provides a key intermediate for the enantioselective synthesis of (S)-7-amino-5-azaspiro[2.4]heptane moiety of quinolone antibacterial agents.