Self‐assembly of poly(ionic liquid) functionalized mesoporous magnetic microspheres for the solid‐phase extraction of preservatives from milk samples

In this work, a novel, rapid, and simple analytical method was proposed for the detection of parabens in milk sample by gas chromatography coupled with mass spectrometry. At the same time, milk sample was pretreated by magnetic solid phase extraction, which detected up to five parabens. A series of important parameters of magnetic solid phase extraction were investigated and optimized, such as pH value of loading buffer, amount of material, adsorption time, ionic strength, eluting solvents, and eluting time. Under the optimized conditions, the corresponding values were more than 0.9991, limits of detection and the limit of quantification were 0.1 and 0.5 ng/mL, respectively. In addition, the recoveries were achieved in range of 95–105%, the liner range were within 0.1–600 ng/mL, and the relative standard deviations were even lower than 5%.     

A synchronous nucleation and passivation strategy for controllable synthesis of Au36(PA)24: unveiling the formation process and the role of Au22(PA)18 intermediate

Science China Chemistry - Despite the recent progress on controllable synthesis of alkynyl-protected Au nanoclusters, the effective synthetic means are very limited and the cluster formation...     

2020 Roadmap on Carbon Materials for Energy Storage and Conversion

Carbon is a simple, stable and popular element with many allotropes. The carbon family members include carbon dots, carbon nanotubes, carbon fibers, graphene, graphite, graphdiyne and hard carbon, etc. They can be divided into different dimensions, and their structures can be open and porous. Moreover, it is very interesting to dope them with other elements (metal or non‐metal) or hybridize them with other materials to form composites. The elemental and structural characteristics offer us to explore their applications in energy, environment, bioscience, medicine, electronics and others. Among them, energy storage and conversion are extremely attractive, as advances in this area may improve our life quality and environment. Some energy devices will be included herein, such as lithium‐ion batteries, lithium sulfur batteries, sodium‐ion batteries, potassium‐ion batteries, dual ion batteries, electrochemical capacitors, and others. Additionally, carbon‐based electrocatalysts are also studied in hydrogen evolution reaction and carbon dioxide reduction reaction. However, there are still many challenges in the design and preparation of electrode and electrocatalytic materials. The research related to carbon materials for energy storage and conversion is extremely active, and this has motivated us to contribute with a roadmap on ‘Carbon Materials in Energy Storage and Conversion’.     

Molybdenum Carbide‐Embedded Multichannel Hollow Carbon Nanofibers as Bifunctional Catalysts for Water Splitting

With the environmental pollution and non‐renewable fossil fuels, it is imperative to develop eco‐friendly, renewable, and highly efficient electrocatalysts for sustainable energy. Herein, a simple electrospinning process used to synthesis Mo₂C‐embedded multichannel hollow carbon nanofibers (Mo₂C‐MCNFs) and followed by the pyrolysis process. As prepared lotus root‐like nanoarchitecture could offer rich porosity and facilitate the electrolyte infiltration, the Mo₂C‐MCNFs delivered favourable catalytic activity for HER and OER. The resultant catalysts exhibit low overpotentials of 114 mV and 320 mV at a current density of 10 mA cm^?2 for HER and OER, respectively. Furthermore, using the Mo₂C‐MCNFs catalysts as a bifunctional electrode toward overall water splitting, which only needs a small cell voltage of 1.68 V to afford a current density of 10 mA cm^?2 in the home‐made alkaline electrolyzer. This interesting work presents a simple and effective strategy to further fabricating tunable nanostructures for energy‐related applications.     

基于车桥耦合理论的梁式桥阻尼比识别研究

提出一种基于车桥耦合动力学理论的梁式桥阻尼比识别方法. 首先按照动力学理论将测试车设计为单自由度体系, 然后利用安装在测试车上的传感器采集信号, 从测试车与桥梁接触点响应信号中得到梁式桥响应的信号, 基于车桥耦合动力学原理滤波处理得到包含梁式桥第一阶频率的信号, 最后假定梁式桥阻尼比值, 通过假定的梁式桥阻尼比值获取假定的梁式桥第一阶振型, 不断循环直至假定的阻尼比值下计算的第一阶振型最大值点居中, 即为识别的梁式桥真实阻尼比. 本文首先从车桥耦合动力学理论推导上说明了该方法的可行性, 然后考虑在不同车速与非恒定车速、路面粗糙度、环境噪音等影响因素下进行车桥耦合动力学模型分析, 最后通过实桥试验进行了初步验证. 研究结果表明: 该方法能一定程度上克服外界不利因素的影响, 达到识别梁式桥阻尼比的目的, 为识别梁式桥阻尼比提供一种更优方法, 其具有参数设置较少、操作简单方便以及更高测试精度等优点, 同时有助于推动基于车桥耦合的车桥耦合动力学理论技术在梁式桥模态参数识别工作中的实际工程应用.      

基于聚类非参数检验的动态停车需求分布特征

为了探索动态停车需求的分布特征,提出聚类非参数检验分析方法.该方法按照个体-组-类的顺序对多时段随机变量进行聚合,在各聚合阶段运用相应的非参数检验方法校核结果,在确保拟合精度的同时,采用相应的模型描述动态随机变量的分布特征.结合该方法的运用,从问题确定、数据调查、数据处理与分析以及分布特征的归纳总结等环节详细阐述了动态...     

滚压对6061铝合金微动磨损性能的影响

应用一种恒力式滚压工具,依据Box-Behnken中心组合设计原理,以车削进给量、滚压力和滚压次数为自变量,以在SRV IV实验机上实现的100℃下的无润滑条件和润滑条件下的微动磨损体积为响应值,对6061铝合金进行滚压后的微动实验,推导出了非平面微动磨损体积的计算公式,并对微动实验中的摩擦系数、试样初始表面粗糙度和磨...     

基于软迭代的叠加训练序列信道估计方法

提出了一种基于软迭代的叠加训练序列信道估计方法.该方法将周期性训练序列与用户信息序列叠加后一起发送,通过软迭代方法,在接收端利用信道译码器输出的软信息来计算信息序列的一阶统计量,并将其反馈给信道估计器,用于消除观测量中来自未知信息的干扰,因此提高了信道的利用率和信道参数的估计精度.仿真结果表明,该方法有效地改善了信道估计性能,降低了接收机的误码率,提高了功率效率.     

高职院校旅游英语专业国际化实用型人才培养研究

旅游英语专业国际化实用型人才培养研究目的是通过对国内外旅游企业人才需求标准的调研,确立了旅游英语专业人才培养的核心能力,通过构建课程体系和实践教学体系,改革课堂教学方法,培养国际化双师素质师资队伍,建设校内外实训基地等措施,完善旅游英语专业的人才培养模式,达到人才培养与市场需求接轨的目标,提高高职院校旅游英语专业人才培养水平.     

均匀棒纯纵向运动初值问题混合有限元方法的H(div)模误差估计

笔者继续考虑均匀棒纯纵向运动初值问题的混合有限元方法[1],利用广义混合椭圆投影的误差估计,给出了H(div)模最优误差估计,使得该问题得到进一步的解决.