小样本微量移液压力控制区间预测方法研究  

Prediction Method to Get Micropipette Pressure Control Range on Small Sample

作　　者：王海军[1] 郭阳宽[1] 祝连庆[1] 孟晓辰[1] 

机构地区：[1]北京信息科技大学光电测试技术北京市重点实验室,生物医学检测技术及仪器北京实验室,北京100192

出　　处：《仪表技术与传感器》2016年第6期77-80,共4页Instrument Technique and Sensor

基　　金：北京市自然科学基金项目(KZ201010772032);教育部“长江学者与创新团队”发展计划项目(IRT1212);北京市教委科研计划项目(KM201511232006)

摘　　要：为了实现对生物医学仪器中移液过程的精确检测,提高仪器的测试精度,提出了一种在小样本下利用灰自助法获取微量移液过程压力控制区间的方法。首先,针对小样本问题,将灰色预测模型和自助再抽样方法相结合建立微量吸液灰自助法模型(GBM(1,1));然后,利用模型在小样本信息下获取压力控制区间;最后,通过搭建微量移液系统对该方法进行验证。实验结果表明,灰自助法用10条压力曲线能准确获取正常压力控制区间,并对正常吸液过程以及气泡、堵针、样本量不足等异常吸液过程进行准确检测及报警。In order to achieve accurate detection of biomedical instruments pipetting process, improve the instrument＇s meas- urement accuracy, a new acquisition method micropipette process pressure control range in a small sample of the use of Gray Boot- strap was put forward. Firstly, for small sample problem, combining with gray prediction model and bootstrap method, a mieropi- pette gray Bootstrap model （ GBM （ 1,1 ） ） was established. Secondly, pressure control range in a small sample of information by gray Bootstrap was gotten. Finally, the method was verified by building a mieropipette system. The results of the experiments show that the pressure with 10 gray bootstrap pressure curve obtained can be a good assessment of the range of normal pipetting and bub- bles, blocking needle, inadequate sample size and other abnormal shift fluid process.

关 键 词：压力检测 小样本 微量吸液 灰自助法 压力控制区间 

分 类 号：TH773[机械工程—仪器科学与技术]