计算机自动识别拓扑等价性方法研究

本文介绍了一个计算机自动识别有机化合物结构图中原子的拓扑等价性的新方法, 该方法引入了路径指数和环指数等新的图的不变量以表征节点的拓扑环境, 由此正确地且高效地进行原子的等价类划分。     

原油饱和烃指纹的内标法分析

采用内标法建立了原油中正构烷烃、生物标志物(甾、萜烷类)的分析方法。确定了样品前处理方法和组分定性定量方法。讨论了柱层析分离能力。结果表明,所有饱和烃组分均流入第一部分流出液F1中,分离能力较为满意。对48种甾、萜烷类生物标志物组分以及姥鲛烷、植烷和正构烷烃等进行了定性确认,定性化合物数量多,信息量大,易于据此进行可靠的油指纹分析鉴别。32个正构烷烃组分相对标准差为1.2%～7.4%;45个生物标志物组分相对标准偏差为2.5%～9.2%。分析精密度较好,满足油指纹鉴别需要。正构烷烃回收率为73%～116%;生物标志物为84%～106%;回收率结果较为满意。正构烷烃方法检出限为7.0μg/g;生物标志物为0.65μg/g,满足原油样品分析要求。通过本方法对自不同和相同平台的原油样品进行饱和烃浓度分析,并采用浓度数据进行鉴别,结果与实际情况相符。     

一种新的拓扑指数用于饱和链烃类化合物的结构/性质相关性研究

本文从距离矩阵出发, 结合分子中各原子的支化度, 产生一种新的拓扑指数Y~x, 并将它用于研究饱和链烃类化合物的理论性质, 获得了比较满意的结果。与其它已有的拓扑指数比较, 该指数具有良好的结构选择性和相关性。     

基于数据挖掘方法的开放骨架磷酸铝定向合成参数分析

开放骨架磷酸铝化合物是多孔晶体材料的一个重要家族。然而,这类材料的合成受到反应原料、凝胶组成、溶剂、模板剂、结晶温度和结晶时间等多个因素的影响。本文以吉林大学"无机制备与合成化学国家重点实验室"建立的开放骨架磷酸铝合成反应数据库为研究对象,采用最大权重最小冗余特征选择算法(Maximum weight and minimum redundancy,MWMR),在充分考虑合成参数自身的重要程度和合成参数之间的相关关系的前提下,分析了溶剂、模板剂等合成参数对于合成含有(8,6)元环结构开放骨架磷酸铝的影响。通过大量实验验证了该方法在开放骨架磷酸铝合成参数分析中的有效性,分析了合成参数对产物生成的影响。实验结果表明模板剂的几何参数、模板剂中C原子和N原子的个数比,溶剂的偶极距等参数可能对于该类结构的合成具有较为重要的影响。     

基于数据挖掘方法的开放骨架磷酸铝定向合成参数分析

开放骨架磷酸铝化合物是多孔晶体材料的一个重要家族。然而,这类材料的合成受到反应原料、凝胶组成、溶剂、模板剂、结晶温度和结晶时间等多个因素的影响。本文以吉林大学“无机制备与合成化学国家重点实验室”建立的开放骨架磷酸铝合成反应数据库为研究对象,采用最大权重最小冗余特征选择算法(Maximum weight and minimum redundancy,MWMR),在充分考虑合成参数自身的重要程度和合成参数之间的相关关系的前提下,分析了溶剂、模板剂等合成参数对于合成含有(8,6)元环结构开放骨架磷酸铝的影响。通过大量实验验证了该方法在开放骨架磷酸铝合成参数分析中的有效性,分析了合成参数对产物生成的影响。实验结果表明模板剂的几何参数、模板剂中C原子和N原子的个数比,溶剂的偶极距等参数可能对于该类结构的合成具有较为重要的影响。     

一种基于数值分析的矩形离子阱仿真优化方法

提出了一种对矩形离子阱进行仿真设计和优化的方法。该方法以数值分析为基础,对离子在矩形离子阱中的运动进行分析,得到相应的离子运动二阶微分方程。然后使用数值分析的Runge-Kutta法,对此二阶微分方程进行求解,可以得到理想状态下离子在离子阱中稳定的条件,从而完成对矩形离子阱的设计和优化。采用本方法,设计并优化了一种矩形离子阱,质量范围最大为260 amu/e,使用乙醇作为目标样品,紫外灯源作为离子源,法拉第筒作为检测器,对该矩形离子阱进行了质谱实验,成功得到了质谱结果,验证了所提出的数值分析仿真优化方法的实用性和正确性。本方法简单易行,便于修改,针对性强,可对多个参数使用循环遍历的方式来寻找最优值,特别适用于对未知结构或参数的探索研究。以此方法为基础可开发离子运动仿真软件,有很好的应用前景。     

一种EGA—MS系统的标定方法

ＣａＣ２Ｏ４真空热分解中，第一阶段生成的ＣＯ中４７％歧化成ＣＯ２和Ｃ；第二阶段生成的ＣＯ与第一阶段生成的Ｃ发生气化反应，发生反应的比例随样品量增加而增大。用ＣａＣＯ３标定ＣＯ后再用ＣａＣ２Ｏ４标定ＣＯ可以排除这些干扰。本文提出了一个对任意气体标定的方法。     

一种基于偶氮水杨醛酰腙的CN-探针

设计合成了一种基于偶氮苯基团的简单而高效的比色探针L1,并利用紫外-可见吸收光谱考察其对阴离子(F-,Cl-,Br-,I-,AcO-,H2PO4-,HSO4-,ClO4-和CN-)的识别性能。结果表明:探针L1在DMSO/H2O(5∶5,V/V)的含水体系中,可以实现对CN-单一选择性识别;且加入CN-时,溶液颜色立刻由无色变为红色,而加入其它阴离子则无变化,说明该探针能够实现对CN-的裸眼识别。另外,该探针对CN-的检测灵敏度较高,最低检测限达到了1.3μmol·L-1。此外,我们制作了负载有探针分子L1的试纸条,能够更加方便快捷的检测CN-。     

一种利用质谱信息进行结构特征鉴定的模式识别方法

本文提出了分段式离子系列谱编码方法,实验证明具有很好的结构表征能力。本程序主要是以模式识别技术为基础,实现了对未知物谱图的KNN分类,进而得到未知物的主要结构特征。这个程序应用于有机化合物的分类,取得了满意的结果。     

Supplemental Feeding of Laying Hens with Wood Vinegar to Decrease the Ratio of n-6 to n-3 Fatty Acids in Eggs

A balanced ratio of fatty acids n-6 to n-3 in chicken eggs is important for health and to help prevent and manage obesity and other diseases. Traditionally, fish oil or flax seed has been utilized as feed additives to decrease the ratio of n-6 to n-3(n-6:n-3) fatty acids in eggs. The hull of spina date seed(HSDS) is a common agricultural waste product in China, from which wood vinegar(HSDSWV) may be derived. This study evaluated HSDSWV as a supplement in hen feeds to improve the quality of eggs and decrease the ratio of fatty acids n-6:n-3. HSDSWV was obtained via carbonization, and refined. Six concentrations(nil to 0.5%) of HSDSWV were prepared and fed to 6 hen groups, respectively, for 50 d. The fatty acids of the hen's egg yolks were analyzed by gas chromatography/electron ionization-mass spectrometry(GC/EI-MS) in the selected ion monitoring(SIM) mode. The 0.2% HSDSWV resulted in the best egg yolk quality, with a lower percentage of linoleic acid(C18:2n6) and higher percentages of cis-5,8,11,14,17-eicosapentaenoic acid(C20:5n3) and cis-4,7,10,13,16,19-docosahexaenoic acid(C22:6n3), and thus a lower n-6:n-3 ratio compared with the other HSDSWV concentrations. In addition, the eggs contained higher levels of yolk fat and egg yolk than the controls did. In conclusion, to modify the fatty acid composition of hens' eggs and obtain a balanced ratio of n-6:n-3, 0.2% HSDSWV may be considered suitable as a dietary supplement in hens' feed.     

Finding the Most Significant Elements for the Classification of Organic Orange Leaves: A Data Mining Approach

Brazil is the world’s largest producer of oranges. The Brazilian conventional citrus crop requires repeated application of agrochemicals to achieve satisfactory levels of productivity. The organic citriculture is an alternative production system, which is environmentally friendly and offers a safe food to consumers. However, it is difficult to determine if a food or plant was cultivated in organic or conventional system by just common observation, which makes the customers of organic food market vulnerable against fraudulent entrepreneurs. In this study, we present a data mining approach for the study of Brazilian organic citrus leaves which can aid in the certification of authenticity of the citrus leaves. The elemental composition is determined by inductively coupled plasma-mass spectrometry (ICP-MS). We developed classification models based on support vector machines and artificial neural networks capable of predicting whether a citrus leaf is organic or conventional through analysis of the concentration levels of the 14 chemical elements (Al, Ba, Co, Cr, Cs, Cu, Fe, Mg, Mn, Ni, Rb, Si, Sr, and V) found in both types of leaves. Feature selection filter methods are used to determine the most relevant elements for the classification process. Our best model obtained was a support vector machine with approximately 88% prediction accuracy. The elements Mn, Mg, and Rb were evaluated as the most significant for the classification decision. This is the first paper which addresses the problem of classification of organic orange leaves based on chemical composition. The presented methodology is useful for attesting authenticity of organic citrus leaves and can be adapted for other organic food or substances.     

交互移动窗口因子分析法(AMWFA)用于二维数据重叠色谱峰的比较分析

采用交互移动窗口因子分析法(AMWFA), 通过挖掘两个体系中的选择性信息, 获得了不同样本间的共有组分数, 还同时得到了各物质对应的光谱或质谱信息. 详细阐述了本法的原理和计算方法, 并用一个模拟的GC-MS 数据对方法进行了验证.     

Profiling the constituents of Dachuanxiong decoction by liquid chromatography with high‐resolution tandem mass spectrometry using target and nontarget data mining

Comprehensive characterization of the large number of compounds existing in traditional Chinese medicines is still a great challenge. In this study, a strategy of precursor ion selected acquisition coupled with target and nontarget data mining was established to systematically characterize the chemical constituents of traditional Chinese medicines. This strategy consisted of four steps: (1) precursor ion selected acquisition was developed to trigger additional tandem mass spectrometry fragmentation reactions, especially for trace constituents; (2) in‐house database of compounds was established and diagnostic characteristics were summarized; (3) compounds were identified by target and nontarget data mining; and (4) compound structures were elucidated based on accurate mass matching and comparison of fragment ions, and isomers were discriminated by the intensity of fragment ions, fragmentation pattern analysis, and calculated log P values. This strategy was successfully applied to comprehensively identify the constituents in Dachuanxiong decoction. Finally, a total of 218 compounds assigned to six categories were characterized, and 107 compounds were characterized by nontarget analysis for the first time. In addition, three new diagnostic characteristics of esters of citric acids were elucidated. This research enriched the material basis of Dachuanxiong decoction and provided a new strategy for identifying the chemical constituents of other traditional Chinese medicines.     

Molybdenum(VI) Oxide-Modified Silica Gel as a Novel Sorbent for the Simultaneous Solid-Phase Extraction of Eight Metals with Determination by Flame Atomic Absorption Spectrometry

A silica-based inorganic sorbent was synthesized by the thermal decomposition of ammonium heptamolybdate on silica and applied for the preconcentration and simultaneous determination of Cd, Co, Cr, Cu, Fe, Mn, Ni, and Pb in river water samples using a column system with flame atomic absorption spectrometry. Attenuated total reflection-Fourier transformation infrared spectroscopy, scanning electron microscopy, and electron dispersive spectroscopy were used for sorbent characterization. The effects of pH, sample volume, eluent type, eluent concentration, eluent volume, sample flow rate, and matrix ions (Al, Bi, Ca, Mg, and Zn) on the recovery of the metals in model solutions were investigated. The adsorption capacities (µmol g^?1) of SiO₂-MoO₃ were 88.96 (Cd), 169.69 (Co), 153.85 (Cr), 188.88 (Cu), 179.05 (Fe), 163.81 (Mn), 136.31 (Ni), and 38.61 (Pb). The detection limits of the method were 9.09, 10.82, 10.77, 49.57, 31.64, 6.40, 8.86, 19.15?µg L^?1 for Cd, Co, Cr, Cu, Fe, Mn, Ni, and Pb, respectively, with a preconcentration factor of 25. The developed method was used for the determination of the target metals in real samples and the recoveries for spiked samples were found to be from 91.2% to 102.9%.     

重组含糖识别结构域的人源半乳糖凝集素-3在糖蛋白/糖肽富集中的应用

植物凝集素是广泛使用的糖蛋白富集和识别材料,动物凝集素则较少被尝试用于糖蛋白富集。基于人源半乳糖凝集素-3的糖识别结构域（CRD）,设计了两种重组凝集素：Gal3C （一个CRD）和Tetra-Gal3C （四重串联CRD）。通过将两种凝集素固定于链霉亲和素琼脂糖小球上,构造了富集糖蛋白的重组凝集素亲和柱。使用凝胶电泳、免疫印迹以及生物质谱技术对重组凝集素的生物特征及其糖蛋白富集能力进行了表征与评价,发现两种类型的重组凝集素对糖蛋白/糖肽都有良好的富集效果,并具有较高的特异性和灵敏度。相对于Gal3C而言,Tetra-Gal3C由于具有四重串联的CRD结构域,表现出更高的糖蛋白/糖肽富集能力。该凝集素亲和柱成功用于人肝癌细胞系HepG2的糖蛋白富集,表明重组凝集素具有从复杂生物样本中选择性识别和富集糖蛋白/糖肽的能力。     

SPME/GC-MS鉴别地沟油新方法

采用固相微萃取(SPME)气相色谱-质谱联用(GC-MS)技术,研究了油脂内源及外源物质的微量化学成分。结果发现:纯正花生油和大豆油不含反式脂肪酸,地沟油含有反式脂肪酸trans-C18∶1、trans-C18∶2;纯正花生油和大豆油中含有正己醛、正壬醛和正癸醛等杂质,而地沟油中除了这几种醛类外还含有乙酸、3-丁烯腈、2,5-二甲基吡嗪等特征杂质成分。通过测定内源性物质和外源性物质的存在,两种检测结果互相印证,综合判断,最终可确定是否为地沟油,据此首次建立了SPME/GC-MS鉴别地沟油的新方法。该方法不但可用于地沟油的鉴别,还可用于掺假食用油的检测。     

Discovery of a Mosaic‐Like Biosynthetic Assembly Line with a Decarboxylative Off‐Loading Mechanism through a Combination of Genome Mining and Imaging

The biosynthetic gene cluster for the antiplasmodial natural product siphonazole was identified by using a combination of genome mining, imaging, and expression studies in the natural producer Herpetosiphon sp. B060. The siphonazole backbone is assembled from an unusual starter unit from the shikimate pathway that is extended by the action of polyketide synthases and non‐ribosomal peptide synthetases with unusual domain structures, including several split modules and a large number of duplicated domains and domains predicted to be inactive. Product release proceeds through decarboxylation and dehydration independent of the thioesterase SphJ and yields the diene terminus of siphonazole. High variation in terms of codon‐usage within the gene cluster, together with the dislocated domain organization, suggest a recent emergence in evolutionary terms.     

熔体结晶聚乙烯晶体的高分辨电子显微学研究

聚乙烯在一定的不良溶剂中或在熔融结晶的条件下可以得到具有弧形生长边缘的单晶,对于具有弧形边的（200）晶面的形成机理,已有一些研究报道,但由于高分子链具有成千上万个结构单元,使其结晶过程很复杂,可能会导致弧形边的成因有所不同,因此对于弧形边的形成机理有不同的解释。