Visible-light-induced dearomative spirocyclization of N-benzylacrylamides toward perfluorinated azaspirocyclic cyclohexadienones

A feasible approach to 2-azaspirocyclic cyclohexadienones via visible-light-induced perfluoroalkylation cyclization of N-benzylacrylamides was reported. Using R_f-X (X = I or Br) as the R_f radical source, the reaction underwent a cascade radical addition/dearomative cyclization process by Ir photocatalyst, leading to various 2-azaspiro[4.5]deca-6,9-diene-3,8-diones bearing perfluorinated groups including CF₃, n-C₃F₇, n-C₄F₉, n-C₆F₁₃, n-C₈F₁₇, n-C₁₀F₂₁, CH₂CF₂ and CF₂CO₂Et.     

处理含铅废水的现状及研究进展

废水中的铅严重危害环境及人体的健康,如何处理含铅废水引起了很多科研人员的重视。本文综述了近年来处理含铅废水的研究进展,详细介绍了吸附法、膜分离法、离子液体萃取法、化学沉淀法、电解法、电絮凝法、微生物絮凝法和植物修复法等处理含铅废水的现状,分析了各种处理方法的优缺点,并展望了未来深度处理含铅废水的发展趋势。     

咖啡因印迹复合膜的制备及性能研究

以孔径0.45 μm的尼龙微孔滤膜为支撑膜, 咖啡因为模板分子, 丙烯酰胺为功能单体, 乙二醇二甲基丙烯酸酯为交联剂, 采用表面热聚合技术制备对咖啡因具有优良选择透过性的分子印迹复合膜. 采用高效液相色谱技术探讨了不同功能单体印迹聚合膜选择渗透性能的影响, 采用红外光谱分析、X射线衍射分析、热重分析和液相色谱分析等技术对分子印迹膜的化学结构、晶体结构、孔隙率、溶胀性、热稳定性以及选择性等性能进行详细的研究. 结果表明以丙烯酰胺为功能单体的印迹复合膜对咖啡因具有优异的选择透过性, 其分离选择性因子为2.3. 该印迹膜呈现出较好的结合能力, 对印迹分子存在两个结合位点, 最大表观结合量分别为0.146和0.330 μmol/g, 能够较好地应用于山茶叶粗提液中咖啡因的分离和富集, 富集因子为10.52.     

三聚氰胺磁性印迹固相萃取材料的制备及其应用

采用磁性氧化石墨烯(GO)为载体,三聚氰胺(MEL)为模板分子,甲基丙烯酸(MAA)为功能单体,乙二醇二甲基丙烯酸酯(EGDMA)为交联剂,制备了新型三聚氰胺磁性印迹聚合物。 采用扫描电子显微镜(SEM)、透射电子显微（TEM）、差热分析(TG)和样品振动磁强计(VSM)对该磁性印迹聚合物进行表征和分析,结果表明,在氧化石墨烯表面成功制备磁性印迹聚合物。 结合高效液相色谱分析技术对该印迹聚合物的吸附性能进行检测,结果表明,该磁性印迹聚合物对三聚氰胺表现出特异性吸附性能,最大吸附容量为33.11 mg/g;相对于环丙氨嗪和三聚氰酸,三聚氰胺的选择因子(β)分别是2.43和2.84。 结合磁固相萃取与液相色谱检测技术,实现了牛奶样品溶液中三聚氰胺的分离、富集和检测。     

Determination of Pb In Mn3O4 by GFFS with Direct Suspension Injection Technology

Due to the matrix modify technology and direct suspension injection was adapted in determination of trace Pb in products Mn₃O₄, Troublesome chemical process of samples was abolished, the results show that it possesses convenience, rapidity and accuracy.     

大黄酸磁性印迹聚合物的制备及其应用研究

以SiO2包覆的磁性粒子为载体,大黄酸为模板分子,苯基和氨基硅烷偶联剂为二元功能单体,正硅酸乙酯为交联剂制备大黄酸磁性印迹聚合物。采用红外光谱和扫描电镜对该印迹聚合物进行表征。结果表明,该印迹聚合物颗粒分散均匀,呈立方体结构,印迹壳层厚度约75～100nm。结合磁固相萃取技术和高效液相色谱技术对大黄蒽醌类组分进行富集分离,实现猕猴桃根提取液中大黄酸、大黄素、大黄酚和大黄素甲醚等组分的同时分离、富集和检测。     

乙酸丁酯-聚乙二醇-罗丹明B萃取光度法测定粉煤灰中微量镓（Ⅲ）

在聚乙二醇存在下,用乙酸丁酯萃取镓（Ⅲ）与罗丹明B的红色化合物,静置分层后用吸光光度法直接测定上层萃取液中有色化合物。其最大吸收波长为555nm,表观摩尔吸光率为7.8×10^4L·mol^-1·cm^-1。镓（Ⅲ）质量浓度在0.086—1.5mg·L^-1范围内符合比耳定律,检出限为0.086mg·L^-1。回收率与相对误差分别为98.7%—102%和-1.0%—4.9%。     

一类新的带参数的Hilbert 型积分不等式

In this paper it is shown that a new Hilbert-type integral inequality can be established by introducing two parameters m（m ∈ N） and λ（λ 0）.And the constant factor expressed by the Bernoulli number and π is proved to be the best possible.And then some important and especial results are enumerated.As applications,some equivalent forms are given.     

胃蛋白酶对CdTe纳米粒子的表面修饰及分析应用

以巯基乙酸为稳定剂和表面修饰剂, 在有机相中合成了平均粒径为3 nm左右的CdTe纳米粒子, 用胃蛋白酶改变纳米粒子的表面修饰状态并研究其系列特性. CdTe纳米粒子在320 nm处有强的紫外吸收, 在524.8 nm处有荧光发射. 经胃蛋白酶对其表面修饰后, 紫外吸收峰位不变, 但吸光强度升高, 荧光峰位蓝移至467.2 nm, 荧光强度降低. 温度、pH值及离子强度均对表面修饰产生影响. 在最佳实验条件下, 胃蛋白酶质量浓度在4—40 mg/L范围内与荧光降低值之间呈线性关系, 检测限(3σ)为0.28 mg/L(n=10), 该方法已被用于人体胃液胃蛋白酶的测定.     

Harris Hawks optimization with information exchange

The basic Harris Hawks optimization algorithm cannot take full advantage of the information sharing capability of the Harris Hawks while cooperatively searching for prey, and it is difficult to balance the exploration and development capacities of this algorithm. These factors limit the Harris Hawks optimization algorithm, such as in terms of premature convergence and ease of falling into a local optimum. To this end, an improved Harris Hawks optimization algorithm based on information exchange is proposed to optimize the continuous function and its application to engineering problems. First, an individual Harris Hawk obtains information from the shared area of cooperative foraging and the location area of collaborators, thereby realizing information exchange and sharing. Second, a nonlinear escaping energy factor with chaos disturbance is designed to better balance the local searching and the global searching of the algorithm. Finally, a numerical experiment is conducted with four benchmark test functions and five CEC-2017 real-parameter numerical optimization problems as well as seven practical engineering problems. The results show that the proposed algorithm outperforms the basic Harris Hawks optimization algorithm and other intelligence optimization algorithms in terms of the convergence rate, solution accuracy, and robustness.