Selective Oxidation of Methane into Methanol Under Mild Conditions

Selective oxidation of methane to methanol under mild conditions has been considered as a dream reaction but suffers from poor efficiency due to the strong C-H bond of methane and easy overoxidation of the methanol product. For overcoming these problems, a series of strategies has been developed for improving methanol productivity with oxidants of hydrogen peroxide and even a mixture of oxygen and hydrogen at mild temperatures. Significant achievements in these strategies using effective catalysts, such as supported metal nanoparticles, colloidal metal nanoparticles, and metal@zeolites are briefly concluded. Moreover, the current challenges, future perspectives for preparing active, selective, and stable catalysts, have been discussed. The zeolite fixed metal nanoparticle structure has been found to boost the reaction by benefiting the formation and enrichment of peroxide intermediates, which might guide the development of more efficient catalysts.     

Recent Progress in Mass Spectrometry-based Metabolomics for Colorectal Cancer

Metabolomics, one of the latest omics technologies, is employed to reveal overall metabolic trajectories, identify disease causative mechanisms and provide information for preventive diagnosis and drug targeting. Cancer is a disease known to alter cellular metabolism and so metabolomics can play an important role in the early diagnosis of cancer and in the evaluation of medical interventions and treatments for cancer. Many metabolomics studies rely on high-sensitive and high-throughput mass spectrometry platforms. In recent years, various mass spectrometry(MS) methodologies have been developed and enriched the scope of metabolite detection, contributing to disease studies, such as diabetes, cancer, and depression. Colorectal cancer is the third most diagnosed cancer worldwide and its incidence ranked third in China. This review focuses on the mass spectrometry technologies in metabolomics and summarizes the progress of metabolomics research in colorectal cancer.     

雨课堂与腾讯课堂联用的“有机化学”线上教学设计与实践*

基于智慧教学工具“雨课堂”为主和“腾讯课堂”为辅的双平台联用组合,将“雨课堂”优秀的教学互动和全周期记录学习活动表现的功能与“腾讯课堂”网络直播高峰期画面卡顿少、师生可以语音互动的优点结合起来,充分发挥“以学生为中心”的教学理念,探讨了有机化学课程的线上教学设计,并在教学班级中进行了广泛实践。实践证明,“雨课堂”直播为主和“腾讯课堂”为辅的双平台联用教学模式能保证教学质量、激发学生的学习兴趣和提高学生的学习效果。     

医学留学生化学实验全英文教学资源建设与实践*

针对目前化学实验全英文在线教学资源匹配度较低、相对匮乏等问题,以医学留学生为中心,建设了有声课件、模块化实景实验操作视频以及测试题库3种不同类型的化学实验全英文教学资源,通过资源的线下使用和基于雨课堂的在线预习,实现从“集中、定时、定点”的传统教学模式向“模块化、碎片化、信息化”的混合教学模式转变,可以丰富教学资源和教学手段,改进教学秩序,提高医学留学生化学知识和技能学习的积极性和主动性,使“教”“学”良性循环,可切实提高化学实验国际化教学质量。     

煤矿顶板离层回归分析与稳定性评价

以光纤Bragg光栅位移传感器对淮北朱仙庄煤矿顶板离层监测为实际数据依据,选择最佳的典型函数模型对顶板离层进行非线性回归分析,得出能够反映位移发展趋势的回归曲线。监测结果与回归拟合数据表明:非线性回归分析预测方法不仅可以反映煤矿顶板离层实时变化过程,还能根据其变化趋势进行巷道稳定性判断。     

气相色谱法测定高碳酸盐土壤样品中酸解烃

采用气相色谱法测定大批量高碳酸盐土壤样品中酸解烃。称取样品10g,加酸反应35min后进行脱气,收集的酸解烃气体用HP-PLOT毛细管色谱柱分离,氢火焰离子化检测器检测。方法检出限(3σ)为0.007~0.715μL·kg-1,测定值的相对标准偏差均小于10%。对由标准气体混合组成的标准样品进行检测,各组分的测定值与认定值之间的相对误差均小于5%。     

气相色谱法测定不同水质中的二氯乙酸和三氯乙酸

采用气相色谱法测定水中二氯乙酸和三氯乙酸的含量。并且检测了地表水、海水、污水处理厂进口和化工废水等不同水质实际样品。水样中加入氯化钠,经硫酸酸化,甲基叔丁基醚萃取后,以硫酸-甲醇(20+80)溶液作为衍生试剂,衍生温度为50℃时,气相色谱-电子捕获检测器测定。在优化分离条件下,分流比为5比1,二氯乙酸和三氯乙酸具有良好的分离效果。二氯乙酸、三氯乙酸的检出限分别为0.21,0.14μg·L-1,加标回收率在97.4%~105%之间,测定值的相对标准偏差(n=6)小于6%。     

以3-硝基邻苯二甲酸根构建的环状双核Zn(Ⅱ),Cd(Ⅱ)配合物的合成及晶体结构(英文)

以3-硝基邻苯二甲酸和咪唑及2,2′-联吡啶为配体构筑了2种配合物[Zn2(npa)2(Im)4](1)和[Cd2(npa)2(2,2′-bipy)2(H2O)2]·2H2O(2)(npa2-=3-硝基邻苯二甲酸根,Im=咪唑,2,2′-bipy=2,2′-联吡啶)。用元素分析、红外光谱对其进行了表征,并用单晶X-射线衍射测定了配合物的晶体结构;测定了配合物1和2的热稳定性。2个配合物均为双核分子,具有M2C8O4十四元大环结构。配合物1的双核单元通过分子间氢键形成3D网络结构,配合物2的双核单元通过分子间氢键和π-π堆积形成2D层状结构。     

3-氨基丙醇调控合成超顺磁四氧化三铁微球

采用乙二醇为溶剂,无水FeCl3为铁源,聚丙烯酸为稳定剂,通过改变3-氨基丙醇的用量,合成了一系列不同微球直径和晶粒大小的超顺磁Fe3O4微球。高分辨率透射电镜和X-射线衍射分析证实所得产物为Fe3O4,红外光谱和热重分析表明,微球表面成功包覆聚丙烯酸。微球的大小和组成微球的颗粒粒径分别用透射电镜和X-射线衍射分析,结果表明,所得微球的直径随着3-氨基丙醇的用量增加而减小,组成微球的颗粒粒径随着3-氨基丙醇的用量增加而增大。磁性测试表明所制备微球室温下具有良好的超顺磁性。该制备方法步骤简单,可望用于其他无机氧化物纳米微球或颗粒的制备。     

一种萘并吡喃化合物的合成及其工艺研究

本文以4,4'-二甲氧基二苯甲酮、苯乙酮和呋喃甲醛为原料,采用新的路线,6步反应合成了一种新型萘并吡喃类化合物,借助核磁共振、质谱等检测手段对最终产物的结构进行了结构表征,并对其反应条件进行优化,提高了反应收率,最后应用紫外-可见吸收光谱对目标产物在不同溶剂中的光致变色性质进行了初步探索研究。