构建高效分析化学课堂的策略

针对当前分析化学课堂教学现状,从营造宽松愉悦课堂气氛、建立切实可行的预习学案和采用启发式教学方法等3个方面论述了如何构建高效分析化学课堂,以实现学生知识与能力的协调发展。     

A Convenient “Turn On-off” Phosphorescent Nanosensor for Detection of Biotin Based on Quantum Dots/CTAB

A switchable room-temperature phosphorescence(RTP) nanosensor based on an MPA-capped Mn-doped ZnS QDs/CTAB composite system(MPA=3-mercaptopropionic acid; CTAB=cetyltrimethyl ammonium bromide; QDs=quantum dots) was established for the detection of biotin. The phosphorescence intensity of QDs/CTAB could be regularly quenched with the increase of biotin. Under optimal conditions, this method yielded two linear ranges of 2-20 μg/L and 20-140 μg/L with respective correlation coefficients of 0.993 and 0.990, as well as a detection limit of 0.93 μg/L. Therefore, the analytical potential of the proposed nanosensor was evaluated by detecting biotin in urine and biotin tablets. This approach yielded satisfactory results because of the effective elimination of background fluorescence and light scattering from the sample matrix. This approach provides a practical method for biotin detection.     

Source Apportionment Research of Fine Particulate Matter in the Atmosphere by PAHs

Haze weather frequently occurs in many cities in China. Polycyclic aromatic hydrocarbons(PAHs) in fine particulate matter(PM_2.5) can adversely affect the environment and human health. In this paper, PM_2.5 samples were collected at nine sites in a city in northeastern China from September 2013 to October 2014. Sixteen USEPA(US Evironment Protection Agency) priority PAHs in PM_2.5 were analyzed to determine their spatial and temporal distribution characteristics. The source apportionment of PAHs was conducted with the Positive Matrix Factorization(PMF) model. The results indicate that the concentrations of total PAHs(T-PAHs) in PM_2.5 are within the range of 0.26 to 72.48 ng/m³. The seasonal variation of T-PAHs is winter >spring >autumn >summer, and the space distribution of PAHs is JZP >DP >BFH >LP >EESA >IPT >CP >HZMC >JYP. In all types of PAHs, three-ring and five-ring PAHs are significantly prominent(62%) in the heating period due to petrogenic sources and traffic emissions. Middle- and high-ring PAHs in the non-heating period are caused by coal combustion and vehicle exhaust, which accounts for 77% of the total emissions. The source apportionment results obtained by the diagnostic ratio of PAHs reflect that coal burning, traffic and other sources have a distinct influence on PAH emissions in this city. Six factors are defined by PMF v5.0, namely, coke oven emissions(7.7%), biomass burning(44.3%), petrogenic sources(10.7%), coal combustion(10.4%), gasoline engine emissions(16.7%), and diesel engine emissions(10.3%). The results indicate that the PAHs in PM_2.5 in the city are primarily caused by combustion processes and vehicle exhaust.     

Investigation of the Evolution Behavior of Light Tar During Bituminous Coal Pyrolysis in a Fluidized Bed Reactor

The evolution behavior of the light tar fraction of tar during large bituminous coal particle pyrolysis in a fluidized bed reactor at 500-900℃ was investigated to optimize the industrial process. The coal residence time was varied from 30 s to 150 s. The crude tar obtained was distilled and separated into the light fraction and the heavy fraction through an evaporator under conditions of 280℃ and 10⁴ Pa. The light tar was subjected to GC-MS analysis, and the 300 main species in each spectrum were determined and analyzed. The experimental results showed that the evolution behavior of the light tar fraction and the heavy tar fraction presented spectacularly different variation trends with pyrolysis temperature and coal residence time. The molecular weight and number of rings per aromatic compound molecule contained in the light tar fraction increased with increasing pyrolysis temperature because of polymerization. It was also observed that the amount of methyl substituents decreased with an increasing number of rings per molecule of poly-aromatic ring compounds. The chain aliphatic compound evolution was suppressed and underwent heterocyclization with increasing temperature.     

Ga掺杂浓度对溶胶-凝胶法制备GZO薄膜光电性能的影响

采用溶胶-凝胶法在玻璃基片上制备掺镓氧化锌透明导电薄膜,用X射线衍射仪、扫描电子显微镜、紫外可见光分光光度计、霍尔效应仪等测试分别表征GZO薄膜的晶体结构、表面形貌、光电性能等,研究Ga掺杂量对GZO薄膜性能的影响.结果表明:所制备的GZO薄膜均为六方纤锌矿结构并有沿c轴择优生长趋势,随着Ga掺杂量的增加,薄膜透过率先增加再减小,当Ga掺杂量为4at;时透过率最高,可见光区平均透过率达97.4;,薄膜电阻率则随掺杂量增加而下降,在Ga掺杂量为5at;时达最小值7.62×10-3 Q·cm.     

鹿角形状钛酸钡制备及其介电共振现象研究

不同形貌钛酸钡通过将氧化钛前驱体球和钡盐在碱性条件下进行水热和高温烧结制备出来,其与石蜡混合物(75 wt;)在12 GHz微波频率附近发生了介电共振现象.由于钛酸钡是晶格常数降低的顺电立方相/四方相,发生原因是电致伸缩/逆压电效应产生的弹性纵波在晶粒内部的共振吸收.不同条件制备钛酸钡晶粒尺寸(219 nm)趋于一致,共振频率相近,经过110℃水热和1100℃烧结制备的鹿角形状钛酸钡晶粒较大(657 nm)并且相互联接使得共振加强.本工作证明了通过改变钛酸钡晶粒尺寸和形貌从而改变微波介电性能.     

单晶硅的纳米力学响应及其相变机制

硅在大规模集成电路、MEMS/NEMS、半导体工业中具有不可替代作用,但是目前对硅的塑性变形及其相变机制的理解远未成熟.采用大规模分子动力学模拟研究(100)面的单晶硅在球形金刚石压头纳米压入过程中的纳米力学响应、相变过程和相分布规律.结果表明:在弹性变形阶段载荷-压深曲线与Hertz接触理论预测结果相吻合.两者的分离点准确地预示了塑性变形的发生.金刚石结构的Si-I相向体心结构的BCT5相转变导致了单晶硅初始的塑性变形.初始形成的BCT5相在次表面形成了一个倒置的金字塔形结构.Si-II相的形成则稍微滞后一些.在较大的载荷下BCT5在压入面上形成一个四重对称的图案分布.相对于小压头条件下大的BCT5相区,大压头更有利于SiII相的发展.卸载后生成的高压Si-II相和BCT5相全部转变为非晶硅.研究结果确认了单晶硅纳米压入中BCT5相的存在;揭示了单晶硅塑性变形的相变机理,即Si-I转变为BCT5和Si-II相;并强调了Si-I相向BCT5相转变对于单晶硅塑性变形的重要作用.     

基于棱镜扫描法的太阳光谱仪光谱定标

为了标定扫描式棱镜太阳光谱仪的棱镜不同转动角度对应的中心波长和光谱带宽,利用了一种棱镜扫描方法对太阳光谱仪的光谱响应函数进行测量。该方法使用固定的单色光波长,控制棱镜转动实现单色光的像在探测器位置扫描,并通过坐标映射得到响应位置的光谱响应函数。文中根据光谱响应函数的定义,推导出棱镜扫描法与单色仪波长扫描方法波长定标原理上的等效性。之后分别以532 nm固体激光器和632.8 nm氦氖激光器为光源,使用棱镜扫描法测量太阳光谱仪对应波长位置的光谱响应函数,并以单色仪波长扫描法实验作为对比。实验结果表明,对于扫描式棱镜太阳光谱仪,棱镜扫描法测量的中心波长分别为531.86和632.67 nm,其准确度优于单色仪波长扫描法测得的531.39和631.97 nm。由于不受单色仪性能的限制,前者测量的光谱带宽值也优于后者。最后以汞灯为光源使用棱镜扫描法对太阳光谱仪进行了光谱定标实验,实现了特征光谱定标法结合棱镜扫描法对中心波长及光谱带宽的标定。该方法同样可以应用于扫描式光栅光谱仪以及单色仪的光谱定标。     

基于光谱特征的北京城区植被滞尘分布反演

植被叶片的滞尘量可以表征空气污染的程度, 分析城市植被滞尘的空间特征对于制定更为有效的空气污染控制政策具有重要的现实意义。基于北京市主城区采集的大叶黄杨、国槐、毛白杨和山桃等四种典型绿化植被叶片的滞尘量、光谱反射率和叶面积等数据,比较四种植被叶片滞尘前后的光谱曲线,进行窄波段与卫星波段滞尘前后叶片光谱反射率比值与滞尘量的相关分析。然后,分别建立相关性最大的卫星波段反射率和NDVI与滞尘量之间的回归模型, 选取拟合较好的模型反演北京城区植被的滞尘量分布,进而插值得到整个北京城区的尘埃分布。最后,根据高滞尘区域周围的土地覆盖和土地利用以及滞尘期间PM₁₀浓度的空间分布对反演的的合理性进行检验。结果表明：在780~1 300 nm波段,大叶黄杨、国槐、毛白杨和山桃四种植被的滞尘叶片反射率均明显低于干净叶片;窄波段反射率与滞尘量在520~650 nm波段和1 390~1 600 nm波段具有较高的相关性,相关系数的绝对值最高达到0.626;利用Landsat8的green波段和NDVI构建的滞尘反演模型,决定系数(R2)分别为0.446和0.465。NDVI模型反演的北京城区植被的滞尘量分布结果表明,北京城区滞尘含量呈现出北高南低,东高西低,中心城区高于郊区的空间分布格局。该研究通过高光谱和遥感影像数据反演滞尘量,可以为快速全面监测城市地区尘埃分布提供参考。     

特低渗透油藏面积井网见水时间计算

特低渗透油藏在水驱开发过程中常表现出渗透率各向异性和流体非达西渗流特征,运用非达西渗流公式及流线积分法,得到特低渗透油藏五点井网、反九点井网和菱形反九点井网在油水两相非活塞式驱替条件下的油井见水时间.计算长庆鄂尔多斯盆地某特低渗透油藏井网见水时间,结果与实际动态符合较好.分析油水黏度比、渗透率各向异性及启动压力梯度对油井见水时间的影响,结果表明：油水黏度比越大,油井的见水时间越早;当菱形反九点井网长轴方向井距与短轴方向井距之比与渗透率各向异性强度大致相等时,长轴方向与短轴方向上的角井能实现均衡驱替;启动压力梯度延缓了油井的见水时间,且生产井距越大,启动压力梯度的影响越显著.