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.     

Nitro—PAPS光度法测定发样中微量铜

为建立一种快速、简便、灵敏分光光度法测定发样中微量铜,在非离子型表面活性剂聚氧乙烯月桂醚(Brij-35)及聚氧乙烯异辛基苯基醚(TritonX-100)存在下,用水溶性试剂2-(5-硝基-2-吡啶偶氮)-5-[N-正丙基-N-(3-磺酸丙基)氨基]苯酚二钠(简称Nitro-PAPS)作显色剂,光度法测定了发样中微量铜。结果表明,该法显色络合物最大吸收波长为580 nm,线性范围为0~0.5μg/mL,表观摩尔吸光数为9.32×104L/(mol.cm),回收率为99.2%~102.5%。该法应用于人发样品微量铜分析,方法简便、快速,结果准确、满意。     

高能光源增强器束流横向尺寸测量系统设计

高能同步辐射光源的增强器将直线加速器注入的束流加速到储存环所需的能量,为储存环提供高品质的电子束。为了对增强器的束流横向截面尺寸、发射度及能散进行测量,设计了两条可见光-紫外波段的束测光束线。两条光束线分别选取无色散和色散较大的两处弯铁位置作为光源点,使用两套同步光成像系统来监测光源点的束流截面尺寸,并计算束流发射度及能散。介绍了同步光引出真空室及光学成像系统,对影响成像质量的空间分辨率进行了分析,并针对升能过程中不同能量下束流光斑变化的测量进行了设计。     

基于改进粒子群算法的模糊聚类-概率神经网络模型的企业财务危机预警模型研究

为了充分发挥概率神经网络在企业财务危机预警中的作用,克服概率神经网络平滑参数难以确定和空间复杂度高的不足,本文提出一类新的参数动态调整的粒子群算法优化概率神经网络的平滑参数,进而采用改进粒子群算法优化初始隶属度矩阵的模糊聚类方法实现对样本的选择,解决了概率神经网络平滑参数的确定及空间结构复杂的问题。提出了基于改进粒子群算法的模糊聚类-概率神经网络企业财务危机预警模型,并以我国上市公司作为研究对象进行了实证研究。结果表明,经过模糊聚类和改进粒子群算法优化的概率神经网络具有更优的预测性能,并在企业财务危机长期预警方面具有一定效用。     

双硫腙/多壁碳纳米管修饰电极差分脉冲溶出伏安法测定猪肝和猪肾中的镉(Ⅱ)

采用双硫腙/多壁碳纳米管修饰电极差分脉冲溶出伏安法测定猪肝和猪肾中镉(Ⅱ)的含量。优化的试验条件如下:1 0.1mol·L-1乙酸-乙酸钠缓冲溶液(底液)的pH为6.0;2双硫腙的用量为3μL;3多壁碳纳米管的用量为10μL;4沉积时间为300s;5沉积电位为-1.2V;6平衡时间为40s。镉(Ⅱ)在一定的浓度范围内与其峰电流呈线性关系,方法的检出限(3S/N)为1.0×10-9 mol·L-1。方法应用于猪肝和猪肾样品的分析,测定值与石墨炉原子吸收光谱法测定值相符,方法的回收率在94.0%~108%之间。     

一种基于激光调制的高精度位移测量方法

激光准直技术在位移测量及相关应用中具有重要作用,其核心器件是位置敏感探测器,环境杂散光、电源波动、光电信号处理电路噪声等是影响测量精度的主要因素。针对以上问题,提出一种基于激光调制的高精度位移测量方法。将激光器由直流驱动的连续输出模式改为交流驱动的调制模式输出,优化设计光电探测器微弱光电信号的调理与采集系统,通过编写Labview软件对信号进行频谱分析、带通滤波、均值处理等,对激光连续输出和激光调制输出2种情况分别进行了实验测试与分析,并对比了位移测量的稳定性。实验结果表明:其测量值波动范围从7 μm减少到了2.6 μm,验证了基于激光调制方法的有效性,可以通过滤波更加有效地消除噪声,测量精度提高至3 μm以内。     

LAMOST medium-resolution spectroscopic survey of binarity and exotic star (LAMOST-MRS-B): Observation strategy and target selection

LAMOST-MRS-B is one of the sub-surveys of LAMOST medium-resolution ($R\sim7500$) spectroscopic survey. It aims at studying the statistical properties (e.g., binary fraction, orbital period distribution, mass ratio distribution) of binary stars and exotic stars. We intend to observe about 30000 stars ($10 {\rm mag}\leq G < 14.5$ mag) with at least 10 visits in five years. We first planned to observe 25 plates around the galactic plane in 2018. Then the plates were reduced to 12 in 2019 because of the limitation of observation. At the same time, two new plates located at the high galactic latitude were added to explore binary properties influenced by the different environments. In this survey project, we set the identified exotic and low-metallicity stars with the highest observation priorities. For the rest of the selected stars, we gave the higher priority to the relatively brighter stars in order to obtain high quality spectra as many as possible. Spectra of 49129 stars have been obtained in LAMOST-MRS-B field and released in DR8, of which 28828 and 3375 stars have been visited more than twice and ten times with $\rm SNR \geq 10$, respectively. Most of the sources are B-, A-, and F-type stars with $\rm -0.6< [Fe/H] < 0.4 $ dex. We also obtain 347 identified variable and exotic stars and about 250 stars with $\rm [Fe/H] <-1$ dex. We measure radial velocities (RVs) by using 892233 spectra of the stars. The uncertainties of RV achieve about $1$ ${\rm km \cdot s^{-1}}$and $10$ ${\rm km \cdot s^{-1}}$ for 95% of late- and early-type stars, respectively. The datasets presented in this paper are available at http://www.doi.org/10.57760/sciencedb.j00113.00035.