A Highly Stable (4, 8)-Connected Tb-MOF Exhibiting Efficiently Luminescent Sensing towards Nitroimidazole Antibiotics

A robust 4,8-connected Tb-based metal-organic framework (Tb-MOF) with paddle wheel-shaped {Tb₂(COO)₄} subunits extended by C₃-symmetric 3,3',3''-[1,3,5-benzenetriyltris(carbonylimino)]tris-benzoate connector was hydrothermally synthesized, showing highly environmental stability, good dispersion and intense green emission in water system. Resulting critically from the well suppressed absorption towards the excitation energy, the Tb-MOF exhibits rapid and efficient fluorescent response towards nitroimidazole antibiotics with strong quenching constants and low detection limits of 1.59 × 10⁴ m ^–1 and 2.4 μM for metronidazole as well as 1.62 × 10⁴ m ^–1 and 2.9 μM for dimetridazole. Moreover, the sensitive and selective identification of the Tb-MOF has strong anti-interference and excellent regeneration ability, which endows the promising applications of the Tb-MOF as fluorescent sensing materials.     

New Supercage Metal–Organic Framework Based on Allopurinol Ligands Showing Acetylene Storage and Separation

To develop efficient adsorbent materials for storage and separation of C₂H₂, an unprecedented supercage MOF, [Me₂NH₂]⋅[Zn₃(ALP)(TDC)_2.5]⋅3.5DMF⋅2 H₂O ( 1 ) was constructed through medicinal molecule allopurinol (ALP) and S-containing 2,5-thiophenedicarboxylic acid (H₂TDC). 1 contains a novel linear trinuclear cluster that is composed by ALP and carboxylates and forms a final uncommon 5-connected yfy topological framework. The framework possesses three types of interlinked cages decorated by rich functional sites, and reveals not only high adsorption capacity for C₂H₂ but also excellent selective separation for C₂H₂/CO₂ and C₂H₂/CH₄ at 298 K. Dynamic breakthrough experiments on C₂H₂/CO₂ (1:1) mixture and C₂H₂/CH₄ (1:1) mixture also demonstrated the potential of the material to separate C₂H₂ from CO₂ or CH₄ mixtures. Molecular simulations were also studied to identify the different CO₂- and C₂H₂- binding sites in 1 , such as carboxylate groups, S atoms and carbonyl groups.     

13C chemical shift tensors in MOF α-Mg3(HCOO)6: Which component is more sensitive to host-guest interaction?

Metal–organic frameworks (MOFs) are a class of important porous materials with many current and potential applications. Their applications almost always involve the interaction between host framework and guest species. Therefore, understanding of host–guest interaction in MOF systems is fundamentally important. Solid-state NMR spectroscopy is an excellent technique for investigating host–guest interaction as it provides information complementary to that obtained from X-ray diffraction. In this work, using MOF α-Mg₃(HCOO)₆ as an example, we demonstrated that ¹³C chemical shift tensor of organic linker can be utilized to probe the host–guest interaction in MOFs. Obtaining ¹³C chemical shift tensor components (δ₁₁, δ₂₂, and δ₃₃, where δ₁₁ ≥ δ₂₂ ≥ δ₃₃) in this MOF is particularly challenging as there are six coordinatively equivalent but crystallographically non-equivalent carbons in the unit cell with very similar local coordination environment. Two-dimensional magic-angle-turning experiments were employed to measure the ¹³C chemical shift tensors of each individual crystallographically non-equivalent carbon in three microporous α-Mg₃(HCOO)₆ samples with different guest species. The results indicate that the δ₂₂ component (with its direction approximately being co-planar with the formate anion and perpendicular to the C−H bond) is more sensitive to the adsorbate molecules inside the MOF channel due to the weak C−H···O hydrogen bonding or the ring current effect of benzene. The ¹³C isotropic chemical shift, on the other hand, seems much less sensitive to the subtle changes in the local environment around formate linker induced by adsorption. The approach described in this study may be used in future studies on host–guest interaction within MOFs.     

面向原子制造的框架核酸研究进展

框架核酸是核酸分子通过自组装形成的一维到三维的框架结构,不仅能精准定位功能基元,还可实现在纳米甚至原子级尺度上进行力学、光学和电学等物理性质,以及单分子水平化学与生化反应的精准调控.利用框架核酸对物质进行原子级的人工自组装,可实现基本构筑单元的精准物理排布与功能化集成,进而实现器件制造,有望推动从原子到宏观的精确功能化...     

半实物仿真中试验总控软件的设计与实现

试验总控软件是应用于半实物仿真中对参试系统进行管理和控制的一种软件,它可以对半实物仿真中的参试系统进行配置,实现对整个试验仿真的管理和监控。解析各参试系统的数据交互协议是试验总控软件对参试系统进行监控和管理的关键功能。通常试验总控软件解析功能代码完全按照各参试系统数据交互协议开发,这样一旦数据交互协议发生更改,解析功能代码需要根据新协议重新开发导致软件重复开发,影响软件开发效率和通用性。为了解决这个问题,文中提出一种试验总控软件设计框架并采用动态解析数据帧技术将解析代码与数据交互协议隔离,不仅提高软件通用性,同时缩短半实物仿真开发周期,减少人力财力开支。     

三维金属有机骨架/石墨烯水凝胶均相降解纤维素为小分子酸的研究

通过在三维还原氧化石墨烯孔径中原位生长ZIF-8纳米粒子,制备了三维金属有机骨架/石墨烯催化剂.这种ZIF-8/rGO纳米复合材料同时具有介孔和微孔,并且拥有高比表面积和大量催化位点,是生物质转化的理想催化剂.将纤维素溶解于氢氧化钠水溶液中,在水热条件下,使用这种催化剂,纤维素可以被充分降解转化.纤维素转化率可以达到100%,其主要产物是甲酸,产率最高可达93.66%.催化剂还可以被回收,重复使用依然具有很好的催化效果.     

基于Android平台的移动个人助手设计与实现

为了满足人们随时随地通过互联网进行日常交流和信息共享的目的,采用移动终端设备Android操作平台的系统功能,开发出MVC模式的移动个人助手系统。服务器端由SSH框架搭建而成,负责系统的后台管理及数据的存储;在实验中数据库通过hibernate实现了对象的持久化操作;Spring的控制反转机制控制对象之间的依赖关系,避免硬编码所造成的过度程序耦合。客户端界面友好,操作简洁,便于携带。该系统具有各个层面相互独立,便于后续开发及维护等特点。     

两种RUP的裁剪方法

介绍了两种RUP的裁剪方法。第一种是通过引入职责矩阵和工件流对RUP进行裁剪,其中职责矩阵反映了对RUP中核心组成部分即工件与角色的裁剪结果,工件流则描述了工件之间的依赖关系。第二种方法是基于企业架构框架辅助RuP的裁剪,其中基于Zachman框架的RuP工件矩阵反映了对RuP工件与角色的初步裁剪,工件矩阵的填充规则反映了工件之间的依赖关系。因此两种方法都是以裁剪RUP的工件与角色为核心,同时定义工件间的依赖关系,从而给出对裁剪后的RUP开发案例的简洁概述。企业可根据自己的情况进行选择,或者结合应用。     

基于图像先验和结构特征的盲图像复原算法

提出了一种基于图像先验和图像结构特征的盲图像复原算法,在模糊核未知的情况下,采用一系列离散化的模糊核参数对模糊图像进行非盲去卷积,得到一系列对应的复原图像。同时提出一种复原图像判决准则,对这一系列复原图像进行质量判决,从中得到最优的复原图像。最后在实验部分,通过对图像的测试表明,提出的盲图像复原算法能较准确的得到最优复原图像,复原效果在主观和客观标准上均有良好表现。     

基于Hadoop的分布式财务异常数据分析系统设计

传统的异常数据监测算法依靠单台计算机对异常数据进行识别,识别速度慢,且无法满足对数据处理的精确性要求。针对上述问题,文中构建了Hadoop分布式财务异常数据分析模型。该模型采用Hadoop中的MapReduce框架作为并行计算框架,同时在数据异常检测算法方面引入了邻域关系的LOF算法,有效避免了数据集元素边缘可能会出现误判的情况。数值实验结果表明,文中所提算法的准确率相比其他3种同类算法提升了5%以上,且算法的总运行时间也明显缩短。由此可见,文中所提模型可快速、准确地检测出财务异常数据,保障医疗系统的平稳运行。