Detecting molecular vibrational modes of side chains and endpoints in nanoscale proteins with graphene plasmon

Monitoring the chemical and structural changes in protein side chains and endpoints by infrared(IR)spectroscopy is important for studying the chemical reaction and physical adsorption process of proteins.However, the detection of side chains and endpoints in nanoscale proteins is still challenging due to its weak IR response. Here, by designing a double layered graphene plasmon sensor on MgF_2/Si substrate in the IR fingerprint region, we detect the vibrational modes in side chains and endpoints(1397 cm~(-1) and 1458 cm~(-1)) of monolayer protein. The sensor could be applied on biochemistry to investigate the physical and chemical reaction of biomolecules.     

Ultra-compact graphene plasmonic filter integrated in a waveguide

Graphene plasmons have become promising candidates for deep-subwavelength nanoscale optical devices due to their strong field confinement and low damping. Among these nanoscale optical devices, band-pass filter for wavelength selection and noise filtering are key devices in an integrated optical circuit. However, plasmonic filters are still oversized because large resonant cavities are needed to perform frequency selection. Here, an ultra-compact filter integrated in a graphene plasmonic waveguide was designed, where a rectangular resonant cavity is inside a graphene nanoribbon waveguide. The properties of the filter were studied using the finite-difference time-domain method and demonstrated using the analytical model. The results demonstrate the band-pass filter has a high quality factor(20.36) and electrically tunable frequency response. The working frequency of the filter could also be tuned by modifying the cavity size. Our work provides a feasible structure for a graphene plasmonic nano-filter for future use in integrated optical circuits.     

N—对甲苯磺酰基—α—氨基膦酸及其单酯的合成及活性研究

用＾３１Ｐ ＮＭＲ谱跟踪反应的方法，研究了对甲苯磺酰胺与取代苯甲醛及三氯化磷（或烷氧基二氯化磷）在乙酰氯为溶剂的条件下的类Ｍａｎｎｉｃｈ反应的机理，找到了合成标题化合物的简单方法。初步生物活性测试表明其中某些化合物具有较好的抗烟草花叶病毒活性。     

高效液相色谱手性固定相对有机膦酸酯类对映体分离研究

利用Ｐｉｒｋｌｅ型手性固定相系统地研究了１１种有机膦酸酯的手性分离情况。讨论了流动相中强组分异丙醇浓度和柱温对手性分离的影响。结果表明,手性分离系数随温度的升高和流动相中强组分浓度的增加而降低。讨论了有机膦酸酯不同取代基对手性分离的影响,指出手性分离中取代基位置的不同会直接影响手性分离结果,空间位阻过大同样会使手性分离系数降低。在选定的分离条件下,１１种有机膦酸酯均可达到基线分离。根据手性分离结果给出了可能的手性分离机理。     

Study of chiral recognition mechanism of O,O-diethyl (p-methylbenzenesulfonamindo)-aryl(alkyl)-methylphosphonates by HPLC with a series of CSPs

Five chiral stationary phases (CSPs) were used to separate the enantiomers of a series of O,O-diethyl (p-methyl-benzenesulfonamindo)- aryl(alkyl)-methylphosphonates. A chiral recognition mechanism was presented to explain the resolution of these compounds. Results show that CSP with strong π-acceptor 3,5-dinitrobenzoyl group and high steric hindrance has the best resolution ability in chiral separation of O,O-diethyi (p-methyl-benzenesulfonamindo)- aryl(alkyl)-methylphosphonates. When a CSP has just a strong π-acceptor 3,5-dinitrobenzoyl or high steric hindrance it does not have good chiral resolution ability. The chiral recognition is more difficult when the CSP has more than one asymmetric center.     

石墨烯等离激元的光学性质及其应用前景

石墨烯等离激元由于其独特的电学可调性、本征低衰减以及局域光场高度增强等特性, 引起了广泛的关注并迅速成长为一门新的学科分支--石墨烯表面等离激元光子学. 本文介绍了石墨烯等离激元的一些基本性质, 包括色散关系、局域的等离激元和传导的等离激元以及石墨烯等离激元对其周边介电环境的敏感性等. 在此基础上, 进一步介绍了石墨烯等离激元在太赫兹到中红外频段的应用, 比如有源光调制器的一些功能器件和增强的红外光谱探测等.     

N-苯磺酰基磷酰二胺酯类化合物的合成及其对昆虫谷氨酸受体通道阻断作用的研究

报道了N-苯磺酰基磷酰二胺酯类化合物的合成。用电生理细胞内微电极技术研究了这些化合物的结构对昆虫谷氨酸电位阻断作用的影响。结果表明:它们均能阻断果蝇幼虫神经肌肉兴奋性接点电位,但其阻断时间相差很大。阻断过程可分为3种:(1)电位逐渐被阻断;(2)电位开始有短暂的兴奋,然后被阻断;(3)电位迅速被阻断。活体实验表明:具有第2种杀虫机制的化合物杀虫效果最好。     

Local Density of States Modulated by Strain in Marginally Twisted Bilayer Graphene

In marginally twisted bilayer graphene, the Moiré pattern consists of the maximized AB(BA) stacking regions,minimized AA stacking regions and triangular networks of domain walls. Here we realize the strain-modulated electronic structures of marginally twisted bilayer graphene by scanning tunneling microscopy/spectroscopy and density functional theory(DFT) calculations. The experimental data show four peaks near the Fermi energy at the AA regions. DFT calculations indicate that the two new peaks ...     

量子过程神经网络模型算法及应用

为提高过程神经网络的逼近和泛化能力, 从研究过程神经元信息处理的量子计算实现机理入手, 提出基于量子旋转门及多位受控非门的物理意义构造量子过程神经元的新思想. 将离散化后的过程式输入信息作为受控非门的控制位, 经过量子旋转门作用后控制目标量子位的状态, 以目标量子位处于状态|1>概率幅作为量子过程神经元的输出. 以量子过程神经元为隐层, 普通神经元为输出层, 可构成量子过程神经网络. 基于量子计算机理推导了该模型的学习算法. 将该模型用于太阳黑子数年均值预测, 应用结果表明, 所提方法与普通过程神经网络相比, 预测精度有所提高, 对于复杂预测问题具有一定理论意义和实用价值.