碳酸钙固硫固体进样测汞仪快速测定硫化铅精矿中汞

在使用固体进样测汞仪直接测定硫化铅精矿中汞时,由于试样中硫含量通常较高(高达30%以上),在测定过程中大量的硫被氧化会污染甚至腐蚀固体进样测汞仪的核心部件催化管,导致催化管寿命严重缩短。为解决该问题,建立碳酸钙固硫-固体进样测汞仪直接测定硫化铅精矿中汞的分析方法;并对Ca/S比,分解温度,分解时间,齐化时间等参数进行优化。在最优条件下,Hg的含量在2~20 ng和20~500ng线性范围内回归系数(R²)分别为0.9996和0.9998;方法检出限(LOD)为0.006 μg/g。用该法对3个典型样品进行测定,相对标准偏差RSD≤9%(n=7),加标回收率为96%~106%。该方法简单、快捷,准确度和精密度高,适合硫化铅精矿中汞的快速测定。     

交货批阴极铜取制样方法对铁含量影响的研究

阴极铜的取样和制样过程对检测结果中铁元素含量影响较大,按照标准中规定抽取铜板的方法能够满足取样精密度的要求。不同的清理表面、钻取方式,钻头材质、制样方法以及除铁步骤等对检测结果中铁元素含量的影响较大,利用扫描电子显微镜和X-射线能谱仪对样品中铁的污染物进行了研究,得出了影响铁元素含量变化的原因,提出了采用钨钢钻头,严格清洗研磨设备、四步法除铁和调整检测样品的称取量等方法来降低阴极铜取制样过程中铁污染的具体措施。     

直接进样电热蒸发-原子荧光光谱法快速测定蒸馏酒中镉

为了快速低成本测定蒸馏酒中痕量重金属镉,利用钨丝电热蒸发器作为直接进样装置,与原子荧光光谱仪原子化器直接连接,构建了用于蒸馏酒中镉测定的直接进样原子荧光光谱检测系统(W-coil ETV-AFS),并对工作气体的气氛和流速、灰化和蒸发电压、样品承载量等参数进行了优化,建立了蒸馏酒中镉的直接进样快速检测方法。在最优条件下,Cd的检出限(LOD)为0.06μg/L(进样量为50μL),在0.5~100μg/L线性范围内回归系数(R²)为0.997;在5μg/L水平下,9个典型蒸馏酒样品的加标回收率在86.0%~116%,相对标准偏差RSD≤8.0%(n=3)。可以直接导入样品,无需复杂的前处理过程,具有良好的灵敏度、准确度和精密度,非常适合蒸馏酒中痕量镉的快速测定。     

铜离子配位甲烷氧化菌素功能化纳米金模拟过氧化物酶的研究

合成了纳米金-甲烷氧化菌素(Mb)-铜配合物,该配合物可以作为模拟过氧化物酶用于催化过氧化氢氧化对苯二酚的反应.通过紫外光谱、荧光光谱、红外光谱对纳米金-甲烷氧化菌素(Mb)-铜进行了表征.利用紫外-可见分光光度法研究了配合物催化过氧化氢氧化对苯二酚的动力学.考察了体系p H、体系温度及过氧化氢/催化剂摩尔比对催化反应速率的影响.结果表明纳米金-甲烷氧化菌素(Mb)-铜配合物符合生物催化剂条件影响的一般规律,但比生物酶具有更高的热稳定性.     

Determination of selected trace elements in marine biota samples with the application of fast temperature programs and solid sampling continuous source high resolution atomic absorption spectroscopy: method validation

Analytical procedure for the determination of As, Cd, Cu, Ni, Co and Cr in marine biota samples using solid sampling high-resolution continuum source atomic absorption spectrometry (HR CS AAS) and accelerated fast temperature programmes has been developed. Calibration technique based on the use of solid certified reference materials similar to the nature of the analysed sample and statistics of regression analysis were applied. A validation approach in line with the requirements of ISO 17025 standard and Eurachem guidelines was followed. Accordingly, blanks, selectivity, calibration, linearity, working range, trueness, repeatability and reproducibility, limits of detection and quantification and expanded uncertainty for all investigated elements were assessed. The major contributors to the combined uncertainty of the analyte mass fractions were found to be the homogeneity of the samples and the microbalance precision. Traceability to the SI system of units of the obtained with the proposed analytical procedure results was also demonstrated. The potential of the proposed analytical procedure based on solid sampling HR CS AAS technique was demonstrated by direct analysis of marine reference biota samples. Overall, the use of solid sampling HR CS AAS permits obtaining significant advantages for the determination of selected trace elements in marine biota samples, such as straightforward calibration, a high sample throughput, sufficient precision, a suitable limit of detection and reduced risk of analyte loss and contamination.     

GARCH(1,1)模型的稳健估计比较及应用

首先阐述了GARCH(1,1)模型稳健估计的构造方法,然后在模型有无异常值扩散效应约束和异常值比例不同的情况下,比较了传统QMLE估计和多种稳健M估计的表现,结果表明:在数据无异常值下,QMLE估计较优;随着异常值比例增加,稳健Andrew估计表现更好;模型施加异常值扩散效应约束对估计有一定改善但不显著.最后选取波动程度不同的两个阶段沪深300指数的收益率,用模型拟合进行了实例比较,在波动程度较大时,Andrew估计效果较优,在波动相对平稳时,LAD估计较优.     

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In Bayesian analysis, the Markov Chain Monte Carlo (MCMC) algorithm is an efficient and simple method to compute posteriors. However, the chain may appear to converge while the posterior is improper, which will leads to incorrect statistical inferences. In this paper, we focus on the necessary and sufficient conditions for which improper hierarchical priors can yield proper posteriors in a multivariate linear model. In addition, we carry out a simulation study to illustrate the theoretical results, in which the Gibbs sampling and Metropolis-Hasting sampling are employed to generate the posteriors.     

Simulated annealing‐based optimal control over tunneling process through SDWP and Eckart barrier: A momentum basis representation

For a reaction to proceed via tunneling mechanism, it is essential that the reactants will cross the potential barrier (E_P), where its initial energy (E₀) is below the potential barrier E_P. Tunneling probability τ is defined as the probability of having momentum higher than k_m, where . In the momentum basis representation, τ can be directly calculated by integrating from the limit k_m to infinity, where is the wave function in the momentum space. Instead of the continuous basis, if we chose momentum grid space, τ can be expressed as . Our target here is to increase this τ by applying a polychromatic field, so that the reaction rate can be enhanced. By applying Simulated Annealing technique we have designed some polychromatic electric fields, spatially symmetric and asymmetric type, which enhances the tunneling rate in symmetric double well system and Eckart barrier confined in an infinite well.     

Assessment of model chemistries for hydrofluoropolyethers: A DFT/M08‐HX benchmark study

In this work, we report the first detailed theoretical comparative conformational investigation between two different classes of hydrofluoropolyethers: dihydro‐ and dimethoxyfluoropolyethers. The main objective was to determine a cost‐effective computational methodology that could accurately reproduce the energetic rankings and thermal weight factors of the simplest examples of those two classes calculated with M08‐HX/triple‐ζ//M08‐HX/double‐ζ benchmark model chemistries. Between the tested methodologies, M08‐HX/aug‐pcseg‐2//M08‐HX/pcseg‐1 was found to be the most appropriate, exhibiting a good accuracy and considerable reduction in computational cost with respect to the benchmark, being more than three times faster than M08‐HX/aug‐pcseg‐2//M08‐HX/aug‐pcseg‐1. This cost‐effective approach will be essential in future work when studying larger hydrofluoropolyethers, where the computational complexity associated with increasing number of conformers will require such approximations.     

Structural dissimilarity sampling with dynamically self‐guiding selection

Structural dissimilarity sampling (SDS) has been proposed as an enhanced conformational sampling method for reproducing the structural transitions of a given protein. SDS consists of cycles of two steps: (1) Selections of initial structures with structural dissimilarities by referring to a measure. (2) Conformational resampling by restarting short‐time molecular dynamics (MD) simulations from the initial structures. In the present study, an efficient measure is proposed as a dynamically self‐guiding selection to accelerate the structural transitions from a reactant state to a product state as an extension to the original SDS. In the extended SDS, the inner product (IP ) between the reactant and the snapshots generated by short‐time MD simulations are evaluated and ranked according to the IP s at every cycle. Then, the snapshots with low IP s are selected as initial structures for the short‐time MD simulations. This scheme enables one to choose dissimilar and distant initial structures from the reactant, and thus the initial structures dynamically head towards the product, promoting structural transitions from the reactant. To confirm the conformational sampling efficiency, the extended SDS was applied to maltodextrin binding protein (MBP), and we successfully reproduced the structural transition from the open to closed states with submicrosecond‐order simulation times. However, a conventional long‐time MD simulation failed to reproduce the same structural transition. We also compared the performance with that obtained by the ordinary SDS and other sampling techniques that have been developed by us to characterize the possible utility of the extended SDS for actual applications. © 2017 Wiley Periodicals, Inc.