Chemical effects in SERS of pyrazine adsorbed on Au-Pd bimetallic nanoparticles: a theoretical investigation

Chemical enhancement in surface-enhanced Raman scattering (SERS) of pyrazine adsorbed on Au-Pd nanoclusters is investigated by using density functional theory. Changing Pd content in the bimetallic clusters enables modulation of the direct chemical interactions between the pyrazine and the clusters. The magnitude of chemical enhancement is correlated well with the induced polarizability for the complexes with low Pd content, which fails for the complexes with high Pd content. Furthermore, the dependence of chemical enhancement on cluster size and coupling is also described by the induced polarizability. Additionally, the chemical enhancement in the cluster-molecule-cluster junction is found to account for as much as 10(3), which suggests that a chemical mechanism might be more important than previously believed, in particular for Au-Pd bimetallic nanoparticle aggregates.     

基于竞争配位的Ca2+特异性响应1H/19F磁共振成像分子探针

合成了一种含~(19)F的Mn~(2+)配合物3,12-二(2-氧代-2-((2,2,2-三氟乙基)氨基)乙基)-6,9-二氧杂-3,12-二氮杂十四烷酸锰(Ⅱ)(Mn(Ⅱ)-L,1),可实现对Ca~(2+)特异响应的~1H/~(19)F磁共振成像分析。~(19)F核在近距离的顺磁性Mn~(2+)影响下产生了顺磁弛豫增强作用,使~(19)F的横向弛豫时间T_2急剧缩短而磁共振信号锐减。当有Ca~(2+)存在时,与配体L的竞争配位使得~(19)F远离Mn~(2+)离子,从而~(19)F磁共振信号得到恢复。同时,由于Mn~(2+)离子从配合态变为游离态,水配位数增加使得其对~1H的纵向弛豫时间T_1弛豫性能增加,从而~1H磁共振成像信号也增强。相关实验的结果证实了该配合物是一种能对Ca~(2+)特异性响应的~1H/~(19)F磁共振成像探针。     

聚胸腺嘧啶单链DNA-CuNCs荧光增强法用于汞离子的高灵敏检测

基于Hg~(2+)与DNA中胸腺嘧啶(T)结合的高度特异性和DNA铜纳米簇的荧光增强性质,构建了一种简便、灵敏检测汞离子的新方法.当Hg~(2+)存在时,聚T单链DNA(P1)通过T-Hg~(2+)-T特异性结合形成双链DNA,Cu~(2+)经抗坏血酸钠还原后生成的中间体Cu+与双链DNA螺旋结构间的氢键部分有强的结合力,促使Cu0附着聚集在双链DNA上形成铜纳米簇,导致体系荧光增强,从而实现对汞离子的高灵敏检测.体系荧光强度与Hg~(2+)浓度的对数值成正比,对Hg~(2+)检测的线性范围为1.0 nmol/L~10μmol/L,检出限达0.4 nmol/L,对湖水样品中Hg~(2+)检测的回收率达到97.2%~106.6%.与传统方法相比,该方法具有无需标记、检出限低及选择性好等优点,可用于环境水体中汞离子的测定.     

铜离子荧光探针的研究进展

高选择性、超灵敏性铜离子荧光探针的设计和开发,在环境检测、食品安全及人体内微量铜元素探测等领域具有重要意义。本文根据荧光分子探针对铜离子的识别机制和化学结构特点,从罗丹明、香豆素、芘基团、萘酰亚胺、氟硼吡咯及其他荧光基团等发色团出发,综述了近年来铜离子荧光探针的研究进展。参考文献27篇。     

石蜡/膨胀石墨/石墨烯复合相变储热材料的制备及性能

以石蜡(PA)作为相变储热材料、 膨胀石墨(EG)作为主导热材料和支撑材料, 石墨烯气凝胶(GA)作为导热增强材料和辅支撑材料制备了PA/EG/GA复合相变材料, 研究了GA添加量对复合相变材料相变温度、 相变潜热、 导热性能以及循环稳定性的影响. 结果表明, 所制备的80%PA-17%EG-3%GA复合相变材料导热性能良好, 循环稳定性出色. 与80%PA-20%EG复合材料相比, 该材料的相变温度、 相变潜热以及循环稳定性无明显变化, 但导热系数由4.089 W/(m·K)提升到了5.336 W/(m·K), 显示出良好的应用前景.     

分辨力增强技术的频谱分析

离轴照明和衰减型相移掩模作为重要的分辨力增强技术,不仅可以提高光刻的分辨力,同时还可以改善成像焦深,扩大光刻工艺窗口,实现65~32 nm分辨成像。从频谱的角度分析了离轴照明和衰减型相移掩模对成像系统交叉传递函数和像场空间频率分布的影响,研究这两种技术的物理光学本质,由此进一步优化光学成像系统设计、分辨力增强技术和确定设备使用的参量。对分辨力增强技术的频谱分析研究表明,分辨力增强技术通过调整像场频谱分布,改善了光学光刻的图形质量。对于65 nm密集图形,离轴照明和相移掩模结合后可以使成像衬比度最高达到0.948,工艺窗口在5%曝光范围内焦深达到0.51μm。     

碳点/β-环糊精复合物的制备及其用于尿酸检测的研究

以柠檬酸三钠为碳源,采用微波辅助制备碳点,用β-环糊精(β-CD)和碳点复合制备出碳点/β-CD复合物,并用荧光、紫外、红外光谱等进行表征.在pH=6.6的磷酸盐缓冲溶液中,尿酸可使碳点/β-CD复合物的荧光增强,探讨了反应时间、反应温度、缓冲溶液及pH对荧光增强程度的影响,建立了测定尿样中尿酸含量的方法.碳点/β-C...     

大范围光纤Bragg光栅压力传感器增敏实验研究

鉴于钛合金材料具有低弹性模量、受温度影响小等特性,设计制作了一种以钛合金管作为光纤Bragg光栅应变增敏衬底元件的高压压力传感器件.通过与电阻应变计实时监控的对比,从实验上研究了光纤Bragg光栅的中心波长偏移对调谐压强的响应.结果表明:这种增敏设计,具有良好的线性响应和可重复性,且与理论推导结果吻合较好.增敏后对压力的响应灵敏度可达0.034 nm/MPa,测压量程可达0~40 MPa,甚至更宽.     

多孔材料强化管内对流换热的数值研究

对多孔材料强化管内换热进行了数值研究,详细讨论了多孔材料厚度(0≤e≤1)和渗透率(10-5≤Da≤10)等参数对管内换热特性和压力损失的影响.结果表明:利用多孔材料调整流场分布,剪薄边界层厚度,能够有效地增强管内换热.当Da=10-4时,管内充分发展Nu数最大能够增至空管时5.5倍左右.但管内压力损失随着多孔材料厚度e的增加或Da数的减小而急剧增大.因此在实际应用中,应采用部分填充多孔材料,文中建议最佳的多孔材料厚度e取O.6左右,此时换热可以得到相当程度的强化,而且压力损失控制在可接受的范围内.     

Speaker Recognition Using Constrained Convolutional Neural Networks in Emotional Speech

Speaker recognition is an important classification task, which can be solved using several approaches. Although building a speaker recognition model on a closed set of speakers under neutral speaking conditions is a well-researched task and there are solutions that provide excellent performance, the classification accuracy of developed models significantly decreases when applying them to emotional speech or in the presence of interference. Furthermore, deep models may require a large number of parameters, so constrained solutions are desirable in order to implement them on edge devices in the Internet of Things systems for real-time detection. The aim of this paper is to propose a simple and constrained convolutional neural network for speaker recognition tasks and to examine its robustness for recognition in emotional speech conditions. We examine three quantization methods for developing a constrained network: floating-point eight format, ternary scalar quantization, and binary scalar quantization. The results are demonstrated on the recently recorded SEAC dataset.