基于气相气谱-质谱的代谢组学方法研究四氯化碳致小鼠急性肝损伤

建立了一种基于气相色谱-质谱(GC-MS)技术的代谢组学分析方法。以CCl4致小鼠肝损伤模型为研究对象,检测了染毒小鼠肝组织和血浆中内源性代谢物随时间的变化情况,并运用主成分分析方法对这一变化过程进行模式识别。研究发现,随着染毒时间的推移,小鼠的整体代谢物谱存在着一定的变化规律。肝组织中苹果酸和部分游离脂肪酸含量升高;血浆中柠檬酸和部分氨基酸含量有所上升。这些代谢物的变化都与肝损程度密切相关,且变化趋势与肝组织病理检查结果一致。研究结果表明:GC-MS技术在代谢物谱的获取和代谢物鉴定方面具有优势,可作为核磁共振(NMR)技术的补充工具用于代谢组学研究。     

RING-OPENING POLYMERIZATION OF 1,4-DIOXAN-2-ONE INITIATED BY LANTHANUM TRIS( 2,6-DI- TERT-B UTYL-4-METHYLPHENOLATE)

The ring-opening polymerization of 1,4-dioxan-2-one (PDO) was carried out by lanthanum tris(2,6-di-tert-butyl-4-methylphenolate) (La(OAr)3) as novel single component initiator. The influences of polymerization reaction temperature and the molar ratio of monomer to initiator on the monomer conversion and molecular weight of poly(1,4-dioxan-2-one) (PPDO) were explored. PPDO with high viscosity average molecular weight of 1.95 × 105 can be prepared at 40℃ when [PDO]/ [La(OAr)3] molar ratio was 800. Mechanism investigation shows that the polymerization proceeds through a "coordinationinsertion" mechanism with selective rupture of acyl-oxygen bond of PDO.     

TiO2负载Cu-Mn复合氧化物催化燃烧正己醛

通过调控Cu负载量及Cu/Mn原子比,探究其对TiO₂负载Cu-Mn复合氧化物(Cu_xMn_y/TiO₂)催化材料中活性组分间相互作用的影响,结果表明,铜负载量为15% (w,质量分数)和Cu/Mn原子比为1 : 1时有利于类铜锰尖晶石相Cu_1.5Mn_1.5O₄的形成,随着Cu负载量的增加促使氧物种从晶格氧向表面吸附氧转移。复合催化材料中铜负载量的变化及Cu/Mn原子比对活性组分和催化活性间的相互作用影响显著。结果发现Cu₁₅Mn₁₅/TiO₂在225 ℃时使正己醛转化率达到90% (T₉₀),材料良好的性能归因于其具有较高的Cu²⁺与O_ads含量,并可与Mn²⁺实现双还原氧化过程。结果表明,Cu₁₅Mn₁₅/TiO₂复合材料中的类铜锰尖晶石活性组分可完成redox循环,以保持催化材料较高的稳定性。     

A nonlinear principal component analysis to study archeometric data

Statistical techniques, when applied to data obtained by chemical investigations on ancient artworks, are usually expected to recognize groups of objects to classify the archeological finds, to attribute the provenance of items compared with earlier investigated ones, or to determine whether an archaelogical attribution is possible or not. The statistical technique most frequently used in archeometry is the principal component analysis (PCA), because of its simplicity in theory and implementation. However, the application of PCA to archeometric data showed severe limitations because of its linear feature. Indeed, PCA is inadequate to classify data whose behavior describe a curve or a curved subspace of the original data space. As a consequence of it, an amount of information is lost because the multi‐dimensional data space is compressed into a lower‐dimensional subspace including principal components. The aim of this work is then to test a novel statistical technique for archeometry. We propose a nonlinear PCA method to extract maximum chemical information by plotting data on the smallest number of principal components and to answer archeological questions. The higher accuracy and effectiveness of nonlinear PCA approach with respect to standard PCA for the analysis of archeometric data are shown through the study of Apulian red figured pottery (fifth–fourth century BC) coming from some of the most relevant archeological sites of ancient Apulia (Monte Sannace (Gioia del Colle), Egnatia (Fasano), Canosa, Altamura, Conversano, and Arpi(Foggia)). Copyright © 2016 John Wiley & Sons, Ltd.     

Diagnostics of calibration methods: model adequacy of UV‐based determinations

Models such as ordinary least squares, independent component analysis, principle component analysis, partial least squares, and artificial neural networks can be found in the calibration literature. Linear or nonlinear methods can be used to explain the structure of the same phenomenon. Each type of model has its own advantages with respect to the other. These methods are usually grouped taxonomically, but different models can sometimes be applied to the same data set. Taxonomically, ordinary least square and artificial neural network use completely different analytical procedures but are occasionally applied to the same data set. The aim of the study of methodological superiority is to compare the residuals of models because the model with the minimum error is preferred in real analyses. Calibration models, in general, are based on deterministic and stochastic parts; in other words, the data are equal to the model + the error. Explaining a model solely using statistics such as the coefficient of determination or its related significance values is sometimes inadequate. The errors of a model, also called its residuals, must have minimum variance compared to its alternatives. Additionally, the residuals must be unpredictable, uncorrelated, and symmetric. Under these conditions, the model can be considered adequate. In this study, calibration methods were applied to the raw materials, hydrochlorothiazide and amiloride hydrochloride, of a drug, as well as a sample of the drug tablet. The applied chemical procedure was fast, simple, and reproducible. The various linear and nonlinear calibration methods mentioned above were applied, and the adequacy of the calibration methods was compared according to their residuals.     

An Expedient Synthesis of Novel Derivatives of Pyrido[2,3‐d]pyrimidines Using Magnetically Supported ZrO2 Nanocatalyst

An efficient synthesis of pyrido[2,3‐d]pyrimidine derivatives via one‐pot multicomponent reactions of 6‐amino‐2‐(alkylthio)pyrimidin‐4(3H)‐one, 3‐cyanoacetylindole and arylaldehydes using [Fe₃O₄@ZrO₂] as magnetically recyclable nanocatalyst is reported. This protocol furnished the desired products in good to excellent yields (70–93 %) and lower reaction times. The catalyst could be easily and efficiently separated from the final product solution by an external magnet and be reused in 5 consecutive runs without any significant activity decrease.     

Fe3O4@SiO2–ZrCl2‐MNPs: A novel magnetic catalyst for the clean and efficient cascade synthesis of 1‐(benzothiazolylamino)methyl‐2‐naphthol derivatives in the absence of solvent

A green, simple and eco‐friendly three‐component condensation for the synthesis of 1‐(benzothiazolylamino)methyl‐2‐naphthols using new magnetic nanoparticles formulated as Fe₃O₄@SiO₂–ZrCl₂‐MNPs is described. Considering the economic and environmental aspects, the method provides some advantages such as clean procedure, solvent‐free conditions, simple operation and work‐up, relatively short reaction times and high yields of the products. Moreover the introduced catalyst can be readily recovered up to 4 consecutive runs with consistent activity using an external magnet.     

Polypyrrole/Fe3O4/CNT as a recyclable and highly efficient catalyst for one‐pot three‐component synthesis of pyran derivatives

Polypyrrole (PPY)/Fe₃O₄/CNT has been synthesized and characterized by FT‐IR, TEM and SEM techniques and its catalytic activity has been evaluated in the synthesis of several series of pyran derivatives. Tetrahydrobenzo[b]pyranes, 4H‐pyran‐3‐carboxylates, 4H,5H‐pyrano[3,2‐c]chromenes and dihydropyrano[2,3‐c]pyrazoles have been successfully prepared from one‐pot three‐component condensation of aldehyde, malononitrile and active methylene‐containing compounds (dimedone /ethyl acetoacetate/4‐hydroxycoumarin/3‐methyl‐2‐pyrazoline‐5‐one) using PPY/Fe₃O₄/CNT as a new and reusable heterogeneous catalyst. The present method offer several advantages such as; high yields of products, short reaction times, easy work‐up procedure and easy separation of the catalyst from the reaction mixture due to its magnetic character. Furthermore, chemoselective synthesis of bis‐benzo[b]pyran from terephthalaldehyde can be achieved by this method.     

Comparative Evaluation of Red Wine from Various European Regions Using Mass Spectrometry Tools

The goal of this work was to assess differences in the composition of red wine produced in Poland, Hungary, Moldova, and Bulgaria, related to their geographical origin. Inductively coupled plasma–mass spectrometry results obtained for 23 elements were submitted to principal component analysis, indicating the association of Li, Co, Se, Cu, Sr with Moldovan products; Hungarian and Moldovan wines were characterized by V, As, Al, Fe variables, whereas Be was distinctive for Hungarian products. Polish wines were grouped with Cd and Pb and Bulgarian with Tl, Ba, Rb, and Mo; U and Mn were found as characteristic variables for wines from Bulgaria and Moldova. According with current legislation, the investigated wines were not contaminated with heavy metals and might be even considered a good source of essential elements (Cu, Mn, Fe, Zn, Cr, and Co). Gas chromatography–high-resolution time-of-flight mass spectrometry was used as a complementary analytical tool, targeting nonvolatile organic compounds amenable for silylation. Statistical data analysis revealed that geographical factors strongly affected the metabolic profiles. Specifically, 15 compounds presenting higher abundances in Bulgarian as compared to Polish wines were found, including monosaccharides, polyols, organic acids, sugar acids, and the amino acid proline. The highest fold change was obtained for ribose (37.9), followed by proline (12.2) and inositol (5.68), suggesting that these compounds might be especially useful for discrimination purposes. The obtained results encourage for further studies aimed at the discrimination of wine produced over the entire Central-East European region based on metal/metalloid profiling and on the evaluation of specific metabolites.     

核磁共振技术在保健食品非目标成分分析中的应用

采用二维扩散排序谱(2D-DOSY)和脉冲宽度(PULCON)定量等多种核磁共振(NMR)技术,对具有减肥功效的保健食品中主要成分进行了定性、定量研究。采用布鲁克AvanceⅢ600 MHz超导核磁共振波谱仪,以氘代丙酮为溶剂,对待测物进行了核磁检测。2D-DOSY表明该保健食品中含有3种主要化学成分,结合多种NMR技术对3个化合物进行了结构解析,归属了其所有的NMR谱信号,确定样品的主要成分为邻苯二甲酸二乙酯、褪黑素和奥美拉唑。最后采用PULCON定量技术测得3种成分的绝对含量分别为16.65、5.38、46.35 mg/g。测定结果与HPLC定量结果的对比表明,核磁共振方法能够在无对照品作参比,无需分离的条件下,直接、快速、准确分析保健食品中非目标成分的物质组成和绝对含量。