吲哚环衍生物在直链淀粉柱上的拆分

选用不同的醇改性剂,在自制的直链淀粉-三(3,5-二甲基苯基氨基甲酸酯)(ADMPC)手性固定相上,对2种吲哚环衍生物对映体进行了手性拆分研究,并考察了样品的保留时间和立体选择性.     

Ca2Y7.9（SiO4）6O2-0.5xFx:Eu0.1（3+,2+）荧光粉的合成和发光特性

采用高温固相反应法在弱还原气氛下制备了Ca2Y7.9(SiO4)6O2-0.5xFx:Eu(2+,3+)0.1(x=0～4)系列荧光粉。晶胞参数a,c和晶胞体积V均随着F-置换量的增加呈线性减小,晶胞参数a和c的变化率相近。荧光体中Eu2+和Eu3+共存,Eu2+3d5/2与Eu3+3d5/2电子结合能分别为1128.4和1136.3 eV,Eu2+的3d5/2与3d3/2的电子结合能差为28.4 eV。Eu2+和Eu3+的3d5/2态XPS峰面积比为6.9∶1。激发光谱由Eu3+的两个电荷迁移(CTS)带和f-f跃迁激发线组成,x=0,1的试样中出现了Eu2+的f-d跃迁强激发谱带。激发到Eu3+的电荷迁移态或激发Eu2+,除了来自Eu3+的5D0能级的发射之外,还观察到了5D1能级的强发射和5D2能级的弱发射,并且激发Eu2+时5D1→7F4发射强度超过5D0→7F2,没有出现Eu2+的明显发射,Eu2+对Eu3+发光起到很好的敏化作用。5DJ(J>0)高能级发射来自4f格位的Eu3+发光中心,Eu2+的敏化起关键作用。Eu3+在4f和6h两种格位的分布比为4∶6。     

Electrochemical DNA Biosensor Based on Partially Reduced Graphene Oxide Modified Carbon Ionic Liquid Electrode for the Detection of Transgenic Soybean A2704‐12 Gene Sequence

In this work a partially reduced graphene oxide (p‐RGO) modified carbon ionic liquid electrode (CILE) was prepared as the platform to fabricate an electrochemical DNA sensor, which was used for the sensitive detection of target ssDNA sequence related to transgenic soybean A2704‐12 sequence. The CILE was fabricated by using 1‐butylpyridinium hexafluorophosphate as the binder and then p‐RGO was deposited on the surface of CILE by controlling the electroreduction conditions. NH₂ modified ssDNA probe sequences were immobilized on the electrode surface via covalent bonds between the unreduced oxygen groups on the p‐RGO surface and the amine group at the 5′‐end of ssDNA, which was denoted as ssDNA/p‐RGO/CILE and further used to hybridize with the target ssDNA sequence. Methylene blue (MB) was used as electrochemical indicator to monitor the DNA hybridization. The reduction peak current of MB after hybridization was proportional to the concentration of target A2704‐12 ssDNA sequences in the range from 1.0×10^?12 to 1.0×10^?6 mol/L with a detection limit of 2.9×10^?13 mol/L (3σ). The electrochemical DNA biosensor was further used for the detection of PCR products of transgenic soybean with satisfactory results.     

联1,2-二氢咪唑并苯并咪唑的水相绿色合成

1,2-二氢咪唑并苯并咪唑衍生物具有杀菌等生物活性。为了进一步研究其抗真菌活性,于室温下以2-氨甲基苯并咪唑与乙二醛在水中反应,高产率水相绿色合成了联1,2-二氢咪唑并苯并咪唑,产率达88.6%,进一步讨论了反应的机理。     

用经验模型评估环境样品测量不确定度

利用水样、土壤和沉积物标准样品定值数据,建立了评估环境样品测量结果不确定度的经验模型。讨论了判断模型质量的指标。用建立的经验模型估算了实际标样和能力验证数据不确定度,并与实测结果进行了比较。探讨了利用本模型计算的相对标准偏差允许限用于实验室内部质量管理与控制的可行性。经验模型能帮助客户判断送检样品检测结果在临界值时能否满足相关要求。     

5,10,15,20-四{对[3,5-二-(烷氧基)苯甲酰胺基]苯基}卟啉及其锌配合物的合成表征

设计合成了5种未见文献报道的5,10,15,20-四{对[3,5-二-(烷氧基)苯甲酰胺基]苯基}卟啉及其锌金属配合物,并用IR,UV-Vis,1H NMR,元素分析以及XPS对其组成和结构进行了表征,研究了这10种酰胺基系列卟啉化合物的拉曼光谱和荧光光谱的变化.结果显示链长对荧光和拉曼光谱没有明显影响,其取代基效应基本相同,配体的荧光强度强于锌配合物的荧光强度.在拉曼光谱中,由于卟啉分子平面的对称性由D2h变为D4h群及其锌离子d轨道的电子效应,卟啉配体和锌配合物之间的拉曼光谱有很大差别.     

熊果酸-3’-取代丙醇酯衍生物的合成及抗肿瘤活性研究

熊果酸与1,3-二溴丙烷反应制得中间体熊果酸-3’-溴代丙醇酯(1),含溴醇酯1与含氮化合物反应,合成了系列熊果酸含氮衍生物2a～2j,均未见文献报道,其结构经1H NMR,13C NMR,IR,MS确认.初步的抗肿瘤生物活性研究表明,部分化合物的抗肿瘤活性与熊果酸相比均有提高,其中化合物2e具有更强的抑制活性.     

多环麝香(PCMs)的环境行为及毒性效应

多环麝香(PCMs)作为重要的人工合成麝香广泛应用于日用品中,目前在各种环境介质中都能检测到PCMs的存在。由于其持续不断地进入环境并能够在生物体内积累,其效应类似于持久性污染物。作为一类新型污染物,PCMs所引起的环境问题受到了广泛重视。本文介绍了PCMs的物理化学性质、来源以及在不同环境介质中的分析方法和污染现状,概述了其在环境中的降解转化、生物富集行为,并总结了其能产生的急性毒性效应、亚慢性毒性效应、内分泌干扰效应和其他潜在的毒性效应,最后讨论了目前研究中存在的问题,并对未来研究进行了展望。今后,应该建立有效的、可比对的标准分析方法,更加系统地进行环境污染现状、迁移转化规律和生物降解代谢途径的研究;重视暴露途径和生物有效性的研究,并与风险评价结合;结合环境中PCMs的污染现状,探讨低剂量长期暴露和复合暴露对生物的影响。     

Assessing the dynamics of chromophoric dissolved organic matter (CDOM) in the Yellow Sea and the East China Sea in autumn by EEMs-PARAFAC

In this study we have successfully characterized the fluorescent components of chromophoric dissolved organic matter(CDOM) in the Yellow Sea and the East China Sea in autumn using excitation-emission matrix fluorescence spectroscopy(EEMs) combined with parallel factor analysis(PARAFAC).PARAFAC aids the characterization of fluorescence CDOM by decomposing the fluorescence matrices into individual components.Four humic-like components(C1,C2,C3,and C4),one marine biological production component(C6),and two protein-like components(C5 and C7) were identified by PARAFAC.We researched the distributional patterns of fluorescence intensity,regression analyses between salinity,chlorophyll a concentration and fluorescence intensities of individual fluorophore,and regression analysis between salinity and fluorescence intensities percent of individual fluorophore.The results revealed that C2 and C4 showed conservative mixing behavior,while C1 and C3 possessed conservative mixing behavior in high salinity region and additional behavior in low and middle salinity region,which were considered to be derived from riverine and degradation of organic matter from resuspended and/or sinking particles and show non-conservative mixing behavior.In addition to riverine sources,the tryptophan-like C5 may receive widespread addition(likely from photo-degradation or biodegradation),while the most likely sources for the one marine humic-like C6 and tyrosine-like C7 were biological activity and microbial processing of plankton-derived CDOM,which were suggested to be of autochthonous origin and biologically labile.The application of EEM-PARAFAC modeling presents a unique opportunity to observe compositional changes,different mixing behavior and temporal variability in CDOM in the Yellow Sea and the East China Sea.     

Morphine-induced conditioned place preference in mice: Metabolomic profiling of brain tissue to find “molecular switch” of drug abuse by gas chromatography/mass spectrometry

Conditioned place preference (CPP) is a widely used model to explore the mechanism of context-dependent learning. In this work, we developed a GC–MS method to investigate the metabolites in mice brain which was used to study the mechanism of context-dependent learning associated with rewarding effect of morphine. Metabolites were extracted from brain tissues and derivatized followed by analysis by gas chromatography/mass spectrometry (GC–MS). In total, 69 peaks were identified as known compounds. By a Wilcoxon ran sum test with p value ≤0.05, 21 metabolites were selected and considered as the potential biomarkers of morphine in mice brain. Using principal component analysis (PCA) and receiver-operator characteristic (ROC) curves, a model was constructed with a combination of these 21 metabolic markers. Multivariate statistics of the model yielded separation between the two groups with an area under the curve value of 0.947. Some metabolites were further discussed in detail about their pathway. Results showed that our technique can be successfully applied to profile for biomarkers and in understanding molecular mechanisms of drug abuse.