Fingerprint analysis of Flos Lonicerae japonicae using binary HPLC profiling

Binary chromatographic profiling was employed in fingerprint analysis of Flos Lonicerae japonicae, the flower bud of Lonicera japonica Thunb. Standardized procedures were used to develop the profiling for both aqueous and ethanolic extracts. Other species in the previous Chinese Pharmacopoeia and some in folk remedy were successfully differentiated from L. japonica Thunb. by hierarchiral cluster analysis of the chromatographic profiles. Correlation analysis showed that six chromatographic peaks in ethanolic extract were positively correlated with in vitro bacteriostasis activity. Two standard fingerprints were developed with 10 genuine samples of L. japonica Thunb. Similarity analysis with a limited number of samples showed a fair consistence in the chromatographic profiling of L. japonica Thunb. from various sources and two harvests, and significant differences from other species. Combination use of the two fingerprints demonstrated confirmative identification and quality assessment of Flos Lonicerae japonicae.     

Stochastic lot-sizing problem with deterministic demands and Wagner-Whitin costs

In this paper, we consider a two-stage stochastic uncapacitated lot-sizing problem with deterministic demands and Wagner-Whitin costs. We develop an extended formulation in the higher dimensional space that provides integral solutions by showing that its constraint matrix is totally unimodular. We also provide the integral polyhedron of the problem in the original space by projecting the extended formulation to the original space.     

Detection of Exhaled Volatile Organic Compounds Improved by Hollow Nanocages of Layered Double Hydroxide on Ag Nanowires

To detect biomarkers from human exhalation, air flow dynamics on the nanoparticle surface were explored by a surface‐enhanced Raman scattering (SERS) sensor. A hollow Co‐Ni layered double hydroxide (LDH) nanocage on Ag nanowires (Ag@LDH) was prepared. Ag nanowires provided amplified Raman signals for trace determination; hollow LDH nanocages served as the gaseous confinement cavity to improve capture and adsorption of gaseous analytes. The Raman intensity and logarithmic analyte concentration exhibit an approximately linear relationship; the detection limit of SERS sensors for aldehyde is 1.9×10^?9 v/v (1.9 ppb). Various aldehydes in mixed mimetic gas are distinguished by Raman spectra statistical analysis assisted by multivariate methods, including principal component analysis and hierarchical cluster analysis. The information was recorded in a barcode, which can be used for the design and development of a desktop SERS sensor analysis system for large‐scale lung cancer detection.     

Synthesis of glycerol carbonate with high surface area ZrO2–KOH catalyst

High surface area ZrO₂–KOH sample was prepared and used the catalyst for the synthesis of glycerol carbonate (GC) from dimethyl carbonate (DMC) and glycerol. The structure properties of ZrO₂–KOH were characterized by XRD, BET, CO₂-TPD, XPS, and ICP-OES. It was found that the strong basicity of ZrO₂–KOH might be attributed to the oxygen vacancies as well as the big surface area. Experiments were developed to evaluate the effects of catalysis loading, proportion of reactants, temperature and reaction time on the conversion of glycerol to GC. The consequences showed that ZrO₂–KOH was a highly efficient basic catalyst for synthesis of GC from glycerol. The catalytic performance of ZrO₂–KOH is much better than that of ZrO₂–KOH–CP, ZrO₂–NH₄OH, and some reported heterogeneous catalysts. And the higher performance of ZrO₂–KOH was ascribed to the strong basicity. 99.43% conversion was obtained in a particular situation of catalyst/glycerol weight ratio of 3 wt%, DMC/glycerol molar ratio of 3:1, reaction temperature of 80 °C, and reaction time of 2 h. The plausible reaction mechanism for the transesterification on the strong basic active sites was discussed.

     

金属杂质辅助低能氩离子束诱导蓝宝石自组织纳米结构

使用实验室自主研发的等离子抛光与刻蚀系统,研究了不同入射能量下不锈钢杂质辅助Ar+离子束刻蚀蓝宝石表面自组织纳米结构的形成机制。采用Taylor Surf CCI2000非接触式表面测量仪和原子力显微镜分别对刻蚀后蓝宝石样品的粗糙度、纳米结构的纵向高度和表面形貌进行了分析。研究表明:引入不锈钢杂质后,当离子束入射角度为65°、束流密度为487μA/cm²、刻蚀时间为60 min、离子束入射能量为1000 eV时,蓝宝石样品表面出现了纵向高度为11.1 nm高度有序的条纹状纳米结构;随着入射能量的增加,表面开始出现岛状纳米结构;当入射能量为1200 eV时,形成了岛状与条纹状相结合的纳米结构,其纵向高度为13.6 nm;入射能量继续增加,蓝宝石表面岛状结构密度变大;当入射能量达1400 eV时,样品表面岛状结构的纵向高度为18.8 nm;入射能量为1600 eV时,样品表面出现较为有序且密集的岛状结构,其纵向高度为20.1 nm。自组织纳米结构先是以“条纹”形状出现,随着入射能量的增加,引入的金属杂质打破了在离子束溅射过程中表面生长机制和表面平滑机制的平衡状态,形成了岛状结构,该结构促进了纳米结构的生长,改变了纳米结构的有序性。     

LPA-MNI: An Improved Label Propagation Algorithm Based on Modularity and Node Importance for Community Detection

Community detection is of great significance in understanding the structure of the network. Label propagation algorithm (LPA) is a classical and effective method, but it has the problems of randomness and instability. An improved label propagation algorithm named LPA-MNI is proposed in this study by combining the modularity function and node importance with the original LPA. LPA-MNI first identify the initial communities according to the value of modularity. Subsequently, the label propagation is used to cluster the remaining nodes that have not been assigned to initial communities. Meanwhile, node importance is used to improve the node order of label updating and the mechanism of label selecting when multiple labels are contained by the maximum number of nodes. Extensive experiments are performed on twelve real-world networks and eight groups of synthetic networks, and the results show that LPA-MNI has better accuracy, higher modularity, and more reasonable community numbers when compared with other six algorithms. In addition, LPA-MNI is shown to be more robust than the traditional LPA algorithm.     

海岸碎波拍的计算

研究了一维碎波拍的计算方法．波浪控制方程由欧拉方程在短波周期上平均而得到．为了考虑低频波浪在海岸上的破碎，采用了ＷＡＦ（ＷｅｉｇｈｔｅｄＡｖｅｒａｇｅＦｌｕｘ）方法求解长波方程．对由辐射应力和海底摩擦力引起的方程非齐次项采用了时间算子分裂法进行了处理，并对由此产生的误差进行了修正．计算了单色波和双色波垂直入射海岸的情况，并与实验结果进行了对比．     

畜禽肉及饲料中氟苯尼考残留免疫分析方法研究

针对动物源性食品及饲料中氟苯尼考的残留问题,通过抗原制备、动物免疫和细胞融合筛选,成功得到可高特异性识别氟苯尼考的单克隆抗体,并建立了氟苯尼考的间接竞争酶联免疫分析（icELISA）方法。经单因素实验优化策略,确定最佳反应条件为：包被抗原质量浓度0.05 μg/mL,抗体质量浓度为0.1 μg/mL,最佳药物、抗体和二抗稀释液均为磷酸缓冲液（PBST）,抗体稀释液吐温－20含量0.05%,竞争反应时间30 min,二抗质量浓度为0.167 μg/mL,二抗反应时间30 min。在该条件下,建立了氟苯尼考的icELISA 检测方法,其IC50为9.48 ng/mL,线性检测范围为1.75 ~ 51.36 ng/mL,检出限（LOD）达0.64 ng/mL,且与氯霉素等结构及功能类似物均无明显交叉反应,特异性良好。实际样品的加标回收率为88.1% ~ 107%,相对标准偏差（RSD）< 15%。将所建立的方法用于畜禽肉及饲料样品的检测,结果与HPLC－MS/MS判定结果一致,说明该方法适用于畜禽产品及饲料中氟苯尼考的残留检测。     

Control of the anodic aluminum oxide barrier layer opening process by wet chemical etching

In this work, it has been shown that, through a highly controlled process, the chemical etching of the anodic aluminum oxide membrane barrier layer can be performed in such a way as to achieve nanometer-scale control of the pore opening. As the barrier layer is etched away, subtle differences revealed through AFM phase imaging in the alumina composition in the barrier layer give rise to a unique pattern of hexagonal walls surrounding each of the barrier layer domes. These nanostructures observed in both topography and phase images can be understood as differences in the oxalate anion contaminated alumina versus pure alumina. This information bears significant implication for catalysis, template synthesis, and chemical sensing applications. From the pore opening etching studies, the etching rate of the barrier layer (1.3 nm/min) is higher than that of the inner cell wall (0.93 nm/min), both of which are higher than the etching rate of pure alumina layer (0.5-0.17 nm/min). The established etching rates together with the etching temperature allow one to control the pore diameter systematically from 10 to 95 nm.