Facile Synthesis of Au/Ni(OH)2 Nanocomposites and its Application in Nonenzymatic Glucose Sensing

Journal of Cluster Science - A simple and environment-friendly autocatalytic reduction process was developed for synthesis of Au/Ni(OH)2 nanocomposites. The nanocomposites were characterized by...     

Porous graphene-based electrodes: Advances in electrochemical sensing of environmental contaminants

Extravagant toxins release at an uncontrollable scale due to the continuous embarking of organic and inorganic contaminants has become a severe threat to the ecosystem’s healthy sustainability. The timely monitoring and determination of the environmental contaminants are crucial to take proper steps for environmental remediation. Among advanced nanomaterials, graphene is one of the extensively explored electrode materials for sensing environmental toxins. However, the graphene sheets' agglomeration due to weak wander Waals forces and the π–π interactions compromise its unique inherent features. The integration of graphene into porous structures can facilitate in exploiting its intrinsic properties. Graphene porous network offers highly conductive multiplexed pathways with a well-defined porous structure that provides a better diffusion of the electrolyte along with analytes to encounter the active electrode material. The pores in the 2D sheet or 3D architecture of graphene provide extensive active sites for various analytes' interaction. Rationally designed porous graphene-based materials and nanocomposites are promising advanced electrode materials for trace level quantification of environmental toxins. Herein, we critically discuss the advances in developing the porous graphene and its composites-based electrodes for electrochemical sensing of the environmental toxins.     

Non-invasive imaging through dynamic scattering layers via speckle correlations

Optical Review - As an object is passing through a static scattering medium, a speckle is formed. We can reconstruct the image from the speckle, based on the principle of optical memory effect....     

计算化学在紫外可见吸收光谱教学中的应用

以L-酪氨酸为案例,结合计算化学手段,设计了采集紫外可见吸收光谱的教学方案,并探讨了计算化学在紫外可见吸收光谱教学中的具体应用。通过对该分子紫外可见光谱的模拟与指认,以及利用多种方法对其不同电子激发过程开展分析,不仅可以有效解释实验光谱吸收峰的来源,还能获取一系列具有教学意义的等值面图形与数据,来帮助学生加强对轨道跃迁类型、电子转移与空穴-电子分布等电子激发特性方面的感性认识,从而使得教学内容既有趣生动,又富有理论深度。     

白光LED智能调光数学模型

LED灯的光通量不仅受电流的影响,还受到结温变化的影响。针对传统LED调光存在只改变电流大小而忽略结温变化对光通量影响所存在的不足,结合LED结温和管脚温度存在特定的关系,利用实验装置采集HL001WY型Ga N基白光LED在不同管脚温度和正向电流下的光通量实验数据并进行二次项趋势回归,利用定标和归一化方法建立光通量、电流以及管脚温度三者变化关系的数学模型。计算结果表明,利用该方法建立的模型得到的计算数值与实验实际测量值的相对误差小于4.5%。     

三维空间下混合白光LED系统照度模型

针对包含暖白光和冷白光两种不同LED光源的混合白光LED系统, 提出一种非线性控制混合白光LED系统照度模型的方法论。该混合白光LED系统包含暖白光及冷白光两种不同LED光源。混合白光LED系统总照度取决于两个LED光源所占的光通量比例, 据此提出三维空间下不同电流负载情况下的混合白光LED系统的照度模型, 通过简单的光学及电学测试方法校准, 并实验测试验证该三维照度模型的真实性。该方法对混合白光LED系统的应用具有一定参考价值, 而且其适用于多个光源的LED系统, 并不仅限于白光LED。     

两类无证书签名方案的密码学分析

对新近侯红霞等人发表在《山东大学学报》(理学版)的无证书聚合签名方案进行了分析,给出了两种攻击方法,在这种攻击方式下,KGC具有与签名人同样的能力,能做到对任意选择的消息生成有效签名.另外,对秦艳琳等人发表在《通信学报》上的无证书多重签名方案进行了分析,发现任何人都可以对该签名方案进行攻击.最后,分析指出了存在这些攻击的根本原因.所给出的这些攻击方法,对于无证书签名的构造和安全性分析具有借鉴意义.     

基于单片机的开关电源并联供电系统的设计

针对并联供电中各电源模块参数的分散性,导致输出电流的不均衡,结果分担电流多的模块热应力大,降低了系统的可靠性等问题,提出了具有均流技术的开关并联供电系统的设计.