Dynamic Oscillation via Negative Differential Resistance in Type III Junction Organic/Two-Dimensional and Oxide/Two-Dimensional Transition Metal Dichalcogenide Diodes

Among many of 2D semiconductor-based devices, type III PN junction diodes are given special attentions due to their unique function, negative differential resistance (NDR). However, it has been found uneasy to achieve well-matched type III PN junctions from 2D–2D van der Waals heterojunctions. Here, the authors present other alternatives of type III heterojunctions, using 2D p-MoTe₂/organic n-type dipyrazino[2,3-f:2′,3′-h]quinoxaline-2,3,6,7,10,11-hexacarbonitrile (HAT-CN) and 2D p-WSe₂/n-MoO_x systems. Those junction diodes appear to well-demonstrate static and dynamic NDR behavior via resonant tunneling and electron–hole recombination. Extended to an inverter circuit, p-MoTe₂/n-HAT-CN diode enables multilevel inverter characteristics as monolithically integrated with p-MoTe₂ channel field effect transistor. The same NDR diode shows dynamic LC oscillation behavior under a constant DC voltage, connected to an external inductor. From p-WSe₂/n-MoO_x oxide diode, similar NDR behavior to those of p-MoTe₂/n-HAT-CN is again observed along with LC oscillations. The authors attribute these visible oscillation results to high peak-to-valley current ratios of their organic or oxide/2D heterojunction diodes.     

Nonlinear modal analysis via non‐parametric machine learning tools

Modal analysis is an important tool in the structural dynamics community; it is widely utilised to understand and investigate the dynamical characteristics of linear structures. Many methods have been proposed in recent years regarding the extension to nonlinear analysis, such as nonlinear normal modes or the method of normal forms, with the main objective being to formulate a mathematical model of a nonlinear dynamical structure based on observations of input/output data from the dynamical system. In fact, for the majority of structures where the effect of nonlinearity becomes significant, nonlinear modal analysis is a necessity. The objective of the current paper is to demonstrate a machine learning approach to output‐only nonlinear modal decomposition using kernel independent component analysis and locally linear‐embedding analysis. The key element is to demonstrate a pattern recognition approach which exploits the idea of independence of principal components from the linear theory by learning the nonlinear manifold between the variables. In this work, the importance of output‐only modal analysis via “blind source” separation tools is highlighted as the excitation input/force is not needed and the method can be implemented directly via experimental data signals without worrying about the presence or not of specific nonlinearities in the structure.     

海南油茶种仁蛋白质提取及双向凝胶电泳-质谱初步鉴定

以海南油茶成熟种仁为试验材料,比较2种不同方法对该植物蛋白提取效率的影响,同时结合单向SDS-聚丙烯酰胺凝胶电泳(SDS-PAGE)、双向凝胶电泳技术(2-DE)、质谱(MS)鉴定手段和Mascot Distiller软件进行分析。结果表明:改良后的BPP抽提法可以有效提取油茶种仁蛋白,通过Image Master 2D Platinum 5.0分析后,在凝胶图上共检测出847个蛋白点,集中分布在等电点(pI)pH 5.0～6.0、相对分子质量86～42 kDa范围内;其图谱背景清晰,蛋白点形状圆润、分辨率高、分布均匀,基本无明显拖尾现象;选取12个高分辨率的蛋白点,经质谱成功鉴定了10个,分别代表10种蛋白质,鉴定成功率达83.3%。BPP抽提法适用于后续油茶种仁的蛋白质组学分析研究。     

二维层状Ni/β-Ni(OH)2纳米复合材料的制备及其摩擦学性能研究

采用水热反应制备出β-Ni(OH)2,然后通过水热还原得到Ni/β-Ni(OH)2纳米复合粉体材料,采用X射线衍射仪(XRD)和扫描电子显微镜(SEM)对复合材料的相结构、成分及形貌进行表征分析。采用四球摩擦磨损试验机评价制备的Ni/β-Ni(OH)2作为润滑油添加剂的摩擦学性能,基础油为PAO6。摩擦试验后,采用SEM分析典型试验钢球磨斑的表面形貌,利用能谱仪(EDS)研究磨斑表面化学元素的组成,探讨Ni/β-Ni(OH)2纳米复合润滑添加剂的减摩抗磨机制。结果表明:Ni/β-Ni(OH)2纳米复合材料作为润滑添加剂具有极好的减摩抗磨性能,显著优于基础油PAO6和未负载纳米Ni的二维β-Ni(OH)2层状材料;与基础油相比,添加0.1%质量分数Ni/β-Ni(OH)2添加剂的油样的摩擦因数和磨斑直径分别降低了17.6%和41.5%;Ni/β-Ni(OH)2纳米复合粉体综合了纳米Ni及层状β-Ni(OH)2两部分结构特性,在摩擦过程中,复合材料中的纳米金属粒子Ni与层状结构材料β-Ni(OH)2能够相互增强起到协同润滑作用。     

二维码信息系统在油脂加工企业中的应用

以二维码信息系统在国内某油脂加工企业具体应用为实例,系统介绍了二维码信息系统的平台组成及各自功能,阐述了企业利用二维码信息系统实现产品从生产源头到终端消费者全过程追溯的过程。二维码信息系统的应用使得应用企业形成了企业的大数据平台,很好地解决了信息孤岛和数据碎片的问题,帮助企业从产品的采购源头到销售终端打通数据链。     

Proteome changes in lamb semimembranosus muscles associated with the inclusion of sunflower cake in their diet

A diet based on sunflower cake for lambs was assayed in order to reuse biodiesel industrial by-products with the aim of reducing livestock costs and evaluating their influence on meat quality. To achieve these goals, sixteen male lambs were fed diets containing different levels of sunflower cake (control, 5%, 10% and 15%). Afterwards, their semimembranosus muscles were analysed by two-dimensional electrophoresis coupled to mass spectrometry and their functional protein association was examined using STRING. Structural and metabolic proteins in the lambs’ proteomes changed significantly according to their diet. Fifteen proteins showed significant changes caused by the inclusion of sunflower cake, and the most differentially abundant structural proteins were detected in 2-DE gels from the lambs. Differentially abundant metabolic proteins such as ENO3 (enolase 3), MDH1 (malate dehydrogenase) and ALDH1A1 (retinal dehydrogenase) have been proposed as biomarkers of quality parameters in other species.     

固相萃取法/全二维气相色谱-飞行时间质谱测定柴油及其加氢产品中的含硫化合物

开发了两种PdCl2-Al2O3固相萃取法，用于分离高硫柴油及加氢柴油中的硫化物，并建立了全二维气相色谱-飞行时间质谱（GC×GC-TOF MS）定性分析柴油中硫化物的方法。该方法不仅能够有效去除柴油中其他组分对硫化物的干扰，清晰展现硫化物分布，还能够准确提供不同工艺生产的柴油及加氢前后柴油中硫化物类型及碳数分布信息。结果表明：高硫柴油及加氢柴油中近90%硫化物集中在分离出的含硫组分中，而且该组分中芳烃含量极少；直馏柴油和催化裂化柴油中分别归类并定性出8类757种硫化物和4类179种硫化物，在相应加氢产品中分别鉴定出4类98种硫化物和3类81种硫化物；加氢柴油中90%以上硫化物为二苯并噻吩类化合物，侧链碳数集中在低碳数段。     

全二维气相色谱-飞行时间质谱测定婴幼儿配方奶粉中的矿物油

目的建立全二维气相色谱-飞行时间质谱(two-dimensional gas chromatography with time of flight mass spectrometry, GC×GC-TOFMS)/氢火焰离子化检测器(flame ionization detector, FID)法测定婴幼儿配方奶粉中矿物油的分析方法。方法样品经过提取皂化、0.3%(质量分数)硝酸银硅胶-分子筛硅藻土混合固相萃取(solidphase extraction,SPE)柱净化处理后,采用全二维气相色谱-飞行时间质谱联用进行检测和分析。结果该法实现了饱和烃类矿物油(mineraloilsaturatedhydrocarbons,MOSH)和芳香烃类矿物油(mineraloilaromatichydrocarbons,MOAH)的在线分离,仪器分析时间仅为34min。MOSH和MOAH的检出限为0.5mg/kg,加标回收率为88.0%～97.2%,相对标准偏差为5.0%～8.3%(n=6)。运用该法对20款配方奶粉进行测定,均未检出MOAH,其中11款检出MOSH,含量为0.5～8.2 mg/kg;奶粉中普遍含有奇数碳的正构烷烃和植物甾醇烯类物质,推断矿物油污染可能来源于油墨和润滑油。结论方法灵敏,进一步提高了定量的准确性,可同时进行定性和定量分析,适合于奶粉中矿物油的检测。样品检测结果表明,婴幼儿配方奶粉中矿物油的污染情况需引起关注。     

深水水下管汇的结构设计概述

以南海某油气田的深水水下管汇为例,结合管汇的功能需求、结构组成、结构计算等,对深水水下管汇的结构设计进行了概述。     

在线超低温预浓缩-全二维气相色谱-飞行时间质谱联用系统在大气挥发性有机物监测中的应用

采用自主研制的在线超低温预浓缩设备，连续在线采集大气样品或者连续采集苏玛罐离线样品，对样品进行超低温捕集浓缩和二次超低温冷冻聚焦，采用全二维气相色谱-飞行时间质谱联用技术分离检测浓缩后的挥发性有机物，实现对大气中C2~C12共100多种挥发性有机物的浓缩富集和定性定量分析。本研究对该方法的线性、重复性、加标回收率、检出限等性能进行表征，并与常规一维气相色谱-四极杆质谱联用系统的定性定量结果进行比较。结果表明，该方法不仅满足大气中挥发性有机物检测的性能指标要求，且组分定性定量的准确性、灵敏度等指标均优于一维气相色谱-四极杆质谱联用技术，在挥发性有机物成分较复杂的大气样品检测中具有明显优势。