Rapid determination of trace polycyclic aromatic hydrocarbons in particulate matter using accelerated solvent extraction followed by ultra high performance liquid chromatography with fluorescence detection

A method has been developed for the trace analysis of polycyclic aromatic hydrocarbons, which are known as persistent organic pollutants and ubiquitous constituents of fine particulate matter that causes growing airborne pollution. The method, which was especially for samples of airborne particulate matter less than 2.5 μm in diameter, utilized accelerated solvent extraction and ultra high performance liquid chromatography with fluorescence detector. Four principal parameters of accelerated solvent extraction were optimized to obtain maximum extraction efficiency. Using the established synergetic programs of gradient elution and fluorescence wavelength switching, a rapid separation was achieved in 6.56 min with good linearity for 15 polycyclic aromatic hydrocarbons (coefficient of determination above 0.999). The limits of detection ranged from 0.833 to 10.0 pg/m³. The precision of the method expressed as inter‐day relative standard deviation ranged from 0.2 to 1%, which was calculated from nine repetitive measurements of 8.00 μg/L analytes. Average spiked recoveries ranged from 71.6 to 97.7%, with the exception of naphthalene. The rapid, sensitive, and accurate method can meet the pressing needs of health risk assessment and increasingly heavy daily tasks of air quality monitoring.     

Stochastic Hydrodynamics of Complex Fluids: Discretisation and Entropy Production

Many complex fluids can be described by continuum hydrodynamic field equations, to which noise must be added in order to capture thermal fluctuations. In almost all cases, the resulting coarse-grained stochastic partial differential equations carry a short-scale cutoff, which is also reflected in numerical discretisation schemes. We draw together our recent findings concerning the construction of such schemes and the interpretation of their continuum limits, focusing, for simplicity, on models with a purely diffusive scalar field, such as ‘Model B’ which describes phase separation in binary fluid mixtures. We address the requirement that the steady-state entropy production rate (EPR) must vanish for any stochastic hydrodynamic model in a thermal equilibrium. Only if this is achieved can the given discretisation scheme be relied upon to correctly calculate the nonvanishing EPR for ‘active field theories’ in which new terms are deliberately added to the fluctuating hydrodynamic equations that break detailed balance. To compute the correct probabilities of forward and time-reversed paths (whose ratio determines the EPR), we must make a careful treatment of so-called ‘spurious drift’ and other closely related terms that depend on the discretisation scheme. We show that such subtleties can arise not only in the temporal discretisation (as is well documented for stochastic ODEs with multiplicative noise) but also from spatial discretisation, even when noise is additive, as most active field theories assume. We then review how such noise can become multiplicative via off-diagonal couplings to additional fields that thermodynamically encode the underlying chemical processes responsible for activity. In this case, the spurious drift terms need careful accounting, not just to evaluate correctly the EPR but also to numerically implement the Langevin dynamics itself.     

基于灰度冗余的红外图像自适应输出窗技术

根据红外图像的特点,提出了一种基于灰度冗余的红外图像自适应输出窗技术.该技术通过对图像灰度直方图的统计,设定适当的阈值,将灰度像素分布为零的灰度级进行完全压缩,将小于阈值的灰度级映射到阈值灰度级,然后将有效灰度级在整个可显示灰度级范围内作等间距排列.该算法在压缩灰度冗余的同时,实现了对有效图像灰度级的无损均衡,提高了图像质量,并能实现实时处理.     

Transition from decelerated to accelerated cosmic expansion in braneworld universes

Braneworld theory provides a natural setting to treat, at a classical level, the cosmological effects of vacuum energy. Non-static extra dimensions can generally lead to a variable vacuum energy, which in turn may explain the present accelerated cosmic expansion. We concentrate our attention in models where the vacuum energy decreases as an inverse power law of the scale factor. These models agree with the observed accelerating universe, while fitting simultaneously the observational data for the density and deceleration parameter. The redshift at which the vacuum energy can start to dominate depends on the mass density of ordinary matter. For _m = 0.3, the transition from decelerated to accelerated cosmic expansion occurs at z _T ≈ 0.48 ± 0.20, which is compatible with SNe data. We set a lower bound on the deceleration parameter today, namely > − 1 + 3 _m /2, i.e., > − 0.55 for _m = 0.3. The future evolution of the universe crucially depends on the time when vacuum starts to dominate over ordinary matter. If it dominates only recently, at an epoch z < 0.64, then the universe is accelerating today and will continue that way forever. If vacuum dominates earlier, at z > 0.64, then the deceleration comes back and the universe recollapses at some point in the distant future. In the first case, quintessence and Cardassian expansion can be formally interpreted as the low energy limit of our model, although they are entirely different in philosophy. In the second case there is no correspondence between these models and ours.     

太湖典型湖区水体溶解有机质的光谱学特征

应用荧光光谱、紫外光谱及多种紫外参数等光谱学手段对太湖水体溶解有机质(DOM)进行分析测定,探讨太湖典型湖区水体中DOM的来源及其影响因素。结果表明:不同湖区水体DOM组成特性呈现出一定的区域特征,位于入湖河流的T1点和T2点所代表的竺山湾湖区,结构复杂的大分子物质和腐殖质类物质含量较多,这些区域受多重来源包括生物来源、陆源及生产生活污水的影响较大;以T3为代表的梅梁湾湖区、T4为代表的贡湖湾湖区和T5所处的湖心区其DOM复杂化程度相对较低;而T6点代表的东太湖湖区,因受外界环境的影响较小,以结构简单的类蛋白物质含量居多。     

传统光谱变换与连续小波耦合定量反演潮土有机质含量

以北京地区的96个潮土土样的有机质含量为研究对象,以传统光谱变换为参照,研究分析传统光谱变换与连续小波的耦合在估测土壤有机质含量的可行性;首先采用传统光谱变换与连续小波处理土壤光谱数据,然后将处理后的光谱数据与土壤有机质含量进行相关性分析,提取敏感波段,并采用偏最小二乘法构建土壤有机质含量估测模型。结果表明：耦合传统光谱变换技术与连续小波技术可大幅提升光谱对有机质含量的敏感性,其相关系数R2最高可达0.714,这表明耦合传统光谱变换技术与连续小波技术可深入挖掘光谱内的有益信息;与传统光谱变换技术相比,基于耦合传统光谱变换技术与连续小波技术构建的模型精度更高,稳定性更好,其中以微分变换构建的模型最优,其R2=0.772,RMSE=0.223,这表明耦合传统光谱变换技术与连续小波技术可有效压制噪声的负面影响,提升光谱的稳定性。     

绿肥对华北潮土土壤可溶性有机物的影响

在华北潮土上种植不同绿肥,于绿肥翻压前原位采集其地上部及土壤样品,进行56d的绿肥翻压模拟试验。设毛叶苕子(Vicia villosa Roth.)、二月兰(Orychophragmus Violaceus L.)、黑麦(Secale cereale L.)三个绿肥处理和无绿肥对照处理,分析培养过程中土壤可溶性有机物(DOM)组分及其紫外-可见光谱参数的变化,以探究绿肥对土壤DOM的影响。种植和翻压绿肥增加土壤可溶性有机碳(DOC)、总有机酸碳(TOAs)和总碳水化合物碳(TCs)含量,三者的变化趋势一致,各处理均在培养第1 d上升至峰值后迅速下降。毛叶苕子提高DOC和TOAs的效果最好,最高比对照增加114.01%(培养第1d)和109.10%(培养第14 d)。黑麦提高TCs的效果最好,最高比对照增加323.18%(培养第42 d)。种植和翻压绿肥增加土壤可溶性有机氮(DON)含量,与DOC变化趋势不同,各处理在培养第1 d上升后迅速下降一段时间后又迅速上升。毛叶苕子提高DON的效果最好,最高比对照增加305.83%(培养第42d)。绿肥增加了SUVA₂₅₄,SUVA₂₆₀,SUVA₂₇₂,SUVA₂₈₀,SAUC_240-400,降低了A₂₅₀/A₃₆₅和A₂₄₀/A₄₂₀。紫外-可见光谱参数的主成分分析显示SUVA₂₅₄,SUVA₂₆₀,SUVA₂₇₂,SUVA₂₈₀间有很高正相关性,A₂₅₀/A₃₆₅和A₂₄₀/A₄₂₀间亦有很高正相关性,SAUC_240-400是这些参数中表征DOM性质的关键因子。综上结果表明,种植翻压绿肥增加了土壤DOM含量,提高了土壤DOM的芳香性、疏水性、腐殖化程度、平均分子量,增加了土壤DOM的稳定性。     

应用遗传算法结合连续投影算法近红外光谱检测土壤有机质研究

应用遗传算法结合连续投影算法近红外光谱检测土壤有机质研究。采集浙江省文城地区农田土壤样品近红外光谱数据,土壤样品数为394个。为简化模型,采用遗传算法结合连续投影算法挑选出18个特征波长建模,应用偏最小二乘回归建立有机质预测模型,建模集的决定系数为0.81,均方根预测误差为0.22, 剩余预测偏差为2.31,预测集的决定系数为0.83,均方根预测误差为0.20,剩余预测偏差为2.45。研究发现,遗传算法结合连续投影算法在简化模型同时,模型的预测评价指标同采用全谱波长建模并没有明显降低。因此,遗传算法结合连续投影算法挑选的特征波长可以应用于近红外光谱检测土壤有机质含量。     

MoEDAL – a new light on the high-energy frontier

In 2010, the MoEDAL (MOnopole and Exotics Detector at the LHC) experiment at the Large Hadron Collider (LHC) was unanimously approved by European Centre for Nuclear Research’s Research Board to start data taking in 2015. MoEDAL is a pioneering experiment designed to search for highly ionising manifestations of new physics such as magnetic monopoles or massive (pseudo-)stable charged particles. Its groundbreaking physics programme defines a number of scenarios that yield potentially revolutionary insights into such foundational questions as: are there extra dimensions or new symmetries; does magnetic charge exist; what is the nature of dark matter; and, how did the Big Bang develop. MoEDAL’s purpose is to meet such far-reaching challenges at the frontier of the field. The innovative MoEDAL detector employs unconventional methodologies tuned to the prospect of discovery physics. The largely passive MoEDAL detector, deployed at Point 8 on the LHC ring, has a dual nature. First, it acts like a giant camera, comprised of nuclear track detectors – analysed offline by ultra fast scanning microscopes – sensitive only to new physics. Second, it is uniquely able to trap the particle messengers of physics beyond the Standard Model for further study. MoEDAL’s radiation environment is monitored by a state-of-the-art real-time TimePix pixel detector array. A new MoEDAL sub-detector designed to extend MoEDAL reach to mini-charged, minimally ionising particles is under study.     

瓶颈开口角对二维颗粒流的影响

实验研究了平面传送带上颗粒流的特性，主要包括传送带出口处开口宽度以及瓶颈开口角度对颗粒流的影响.实验结果发现，改变瓶颈开口角度θ，当θ大于15°时，颗粒流量Q随着cosθ呈线性变化.同时，颗粒流量Q与传送带速度v以及开口大小R也密切相关，而在θ小于15°时，颗粒流量Q基本不随开口角度变化.