基于QCM的水果中金属离子检测方法研究

以压电石英晶体的波动方程作为理论基础,首先推导了气相条件下石英晶体微天平(QCM)传感器的相位 质量关系式。然后以猕猴桃中Cu2+检测为例,分别测量出QCM传感器对应的频率偏移量及相位偏移量,应用Sauerbrey方程和新推导的相位——质量方程,计算出猕猴桃中Cu2+的含量;最后,将这两种方法的实验结果进行分析比较并进行了相关讨论。结果表明,基于压电QCM相位检测原理的金属离子检测也是一种有效的金属离子检测方法。     

压氦法和预充氦法氦质谱细检漏固定方案的设计

以“氦质谱细检漏的基本判据和最长候检时间”为基础,分析了密封电子元器件内部水汽不超过5 000 ppm的可靠贮存寿命,确定了细漏检测的严密等级THemin分级,界定和拓展了适用内腔容积并进行了分段,设计了压氦法和预充氦法的固定方案,验证了固定方案规定的最长候检时间可以满足去除吸附氦的要求.从而突破了国内外相关标准改进中难以或无法实施的技术瓶颈,为加严密封性判据改进相关标准,提供了可行的技术方案.     

用二次离子质谱和扩展电阻探针技术测量硅中注入硼的深度分布及扩展电阻探针技术分辨率的估算

利用二次离子质谱和扩展电阻探针技术测量了硅中注入硼的深度分布 .在适当的测量深度 ,用扩展电阻探针技术测得的结果对二次离子质谱技术测量的结果进行了标定 ,从而得到硅片中硼原子的深度分布 .用近似模型估算了扩展电阻探针针尖半径对测试分辨率的影响 .若探针针尖半径为r0 ,测量斜面的角度为 ξ ,在用扩展电阻探针技术测量载流子浓度的深度分布时 ,可以近似认为深度分辨率为 7 86r0 sinξ.还定性讨论了样品表面耗尽层对扩展电阻探针技术的影响.     

Y型双声路声表面波质量传感器及其测量系统

报道了一种在128°Y切割X传播方向的LiNbO3基片上设计并研制新型的延迟线型声表面波质量传感器及测量系统。由于环境温度对声表面波质量传感器性能影响较大,因此采用新型的Y型双声路结构克服环境温度对传感器性能的影响。阐述了Y型双声路质量传感器器件的结构及设计、测试电路的原理,对实验结果作了分析讨论。测试结果表明:器件相对温度系数仅为11Hz/°C左右,器件的质量沉积效应灵敏度为3.62GHz·cm2/g,并且具有良好的线性度。     

Estimating the mass and power of communications satellites

The importance of weight and power estimates and methods for obtaining them are discussed. A method sufficiently accurate for system and launch vehicle planning is developed. It starts from operational requirements such as numbers of transponders, lifetime, eclipse service, radio frequency powers and certain general technology factors such as the performance of batteries and solar cells, and calculates the array power and the masses of the payload and primary power systems. Using these results, and differentiating between spinning and body stabilized satellites, the results of regression analyses on many communication satellites are then used to ascertain the weights of the other subsystems. Simple orbital mechanics are used to determine the weights of propellants, apogee motor, etc., to arrive at a final mass estimate. This estimate should be accurate to between 5 and 10 per cent if reliable input data are available.     

小型TEA CO_2激光器寿命过程的质谱诊断

使用四极质谱仪对小型TEA CO_2激光器作了寿命过程的质谱分析。直接测出了寿命过程中输出能量与各种气体成分变化的对应关系。     

Effect of Ag-doped TiO2 thin film passive layers on the performance of photo-anodes for dye-sensitized solar cells

Ag-doped nanocrystalline structures of TiO₂ in the form of colloidal particles are synthesized by using AgNO₃ solution with Acetyl acetone and diacetyl monoxime modified titanium isopropoxide precursor. Thin layers of undoped and Ag-doped TiO₂ sols are deposited on conducting glass substrate by dip coating technique. The thin films are developed by repeated coating of the sols for 5, 10 and 15 times which results the formation of thin layers with different thickness. These layers are annealed at 450 °C so as to use them as bottom/ seed layers of fabricating photoanodes for dye sensitized solar cells. The optical properties of undoped and Ag-doped TiO₂ thin layers are studied in details. Effective mass model is used to find the particle size and peak wavelength relationship for the nanocrystals of TiO₂. Quantum efficiency of dye sensitized solar cells assembled using the fabricated photoanodes with Ag-doped TiO₂ shows increase in efficiency by about 4% in comparison to the undoped TiO₂ layers. The improved performance is attributed to ease of transportation of electron through passivating layer to the external circuit.     

半导体设备真空与检漏

基于实际应用,介绍了半导体设备真空结构和真空室常用部件,讲述了He质谱检漏仪的使用方法.总结了真空检漏的经验,阐述了微漏难检的现状.分析了磁控溅射台和ICP真空故障,采用静压检漏法和He质谱检漏仪检漏法,给出了零部件微漏导致这些设备抽不上高真空的结论.指出今后的发展方向是真空部件小型化,以及根据设备特点来提高真空部件的可靠性.结果表明,先排除干扰因素,再细心检漏,可大大提高检漏效率,使设备尽快恢复正常.     

TiO2/MXene-Assisted LDI-MS for Urine Metabolic Profiling in Urinary Disease

Cancer remains an intractable medical problem. Rapid diagnosis and identification of cancer are critical to differentiate it from nonmalignant diseases. High-throughput biofluid metabolic analysis has potential for cancer diagnosis. Nevertheless, the present metabolite analysis method does not meet the demand for high-throughput screening of diseases. Herein, a high-throughput, cost-effective, and noninvasive urine metabolic profiling method based on TiO₂/MXene-assisted laser desorption/ionization mass spectrometry (LDI-MS) is presented for the efficient screening of bladder cancer (BC) and nonmalignant urinary disease. Combined with machine learning, TiO₂/MXene-assisted LDI-MS enables high diagnostic accuracy (96.8%) for the classification of patient groups (including 47 BC and 46 ureteral calculus (UC) patients) from healthy controls (113 cases). In addition, BC patients can also be identified from noncancerous UC individuals with an accuracy of 88.3% in the independent test cohort. Furthermore, metabolite variations between BC and UC individuals are investigated based on relative quantification, and related pathways are also discussed. These results suggest that this method, based on urine metabolic patterns, provides a potential tool for rapidly distinguishing urinary diseases and it may pave the way for precision medicine.