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声表面波传感器的英文

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"声表面波传感器"怎么读用"声表面波传感器"造句

英文翻译手机手机版

  • surface acoustic wave sensor

例句与用法

  • Method to realize demodulation in wireless saw sensor system
    无源声表面波传感器系统中检波方案的实现
  • Surface acoustic wave transducer sensor
    声表面波传感器
  • The application of digital quadrature demodulation in wireless saw sensor systems
    数字正交检波技术在无线声表面波传感器系统中应用
  • Objectives : 1 . to build a dual delayed linear style of leaky surface acoustic wave ( lsaw ) biosensor including detection and reference sensor in one chip . three detecting methods including phase , frequency and delayed time were used and compared with each other
    目的: 1 .制备检测和参比双延迟线型漏声表面波传感器,采用相位、频率及延迟时间等多种检测方法,并比较各方法之间的优缺点。
  • And we mainly finished breath detection electronic nose system , including surface acoustic wave sensor design , film coating design , and hardware & software design for future detection marker vocs in lung cancer breath by electronic nose
    其次介绍了电子鼻应用于呼吸检测的可行性,涂膜的原理,并通过详细介绍传感器设计、电路设计、软件设计、传感器涂膜和系统设计等方面说明了我们所建立的毛细管色谱柱与声表面波传感器联用电子鼻系统。
  • Technology of fine processing was firstly used to make the lsaw biosensor with dual delay linear style . then we developed the dual channels resonance circuit and used the labview software to record and analyze phase / frequency automatically . so the detection system of lsaw biosensor was constructed by combing all these components with network analyzer and computer
    方法: 1 .利用精细微加工方法制备双延迟线型漏声表面波传感器,并自行开发研制自激式振荡电路, labview相位、频率记录分析软件,将它们与网络分析仪、频谱分析仪及计算机联用以构建lsaw生物传感器检测系统。
  • Following , we developed an electronic nose adopting advanced technology which combined capillary column to separate vocs according their different retention time and surface acoustic wave sensor coating with polymer film to detect the qualities of those vocs . in my article , lung cancer situation , breath detection principle , feasibility of electronic nose adopting breath detection , and the principles of spme & gc have been particularly introduced . and initially certified the correlation between lung cancer and the marker vocs by detecting lung cancer patients breath , normal human breath , and lung problem patients by solid phase microextraction ( spme ) and gas chromatography ( gc ) system
    本课题根据国外关于呼吸气体中某些有机气体成分和肺癌相关性的研究工作报告,采用固相微萃取?气相色谱系统对肺癌病人呼吸气体、正常人呼吸气体、和其它类肺病患者呼吸气体中的有机气体成分进行对比检测、研究,以期确定肺癌病人呼吸气体中特征有机气体成分;并且期望建立首创的采用毛细管色谱柱与声表面波传感器联用技术的电子鼻系统,与固相微萃取?气相色谱系统作为对比检测,能够做到粗筛肺癌病人。
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