【作者】 路德纪；

【导师】 王平；

【作者基本信息】 浙江大学 ， 生物医学工程， 2008， 硕士

【摘要】 肺癌严重威胁着人类的健康和生命,已成为人类因肿瘤致死的首位病因。肺癌的早期诊断是降低肺癌死亡率的关键。目前临床尚缺乏常规简易的肺癌早期诊断方法与仪器。呼吸诊断通过检测人体呼吸气体中的挥发性有机化合物,反映相应组织细胞代谢改变,是一种新型的、无创的诊断技术。电子鼻技术方便快捷。论文设计了基于声表面波检测技术和毛细管分离技术的肺癌呼吸诊断电子鼻仪器,实现了肺癌的快速、无创诊断,为肺癌早期诊断开辟了一条新的途径。本论文的主要研究内容:根据国内外的研究,肺癌病人呼吸气体中具有肺癌特征的挥发性有机气体成分,选用了对此类气体敏感的声表面波传感器,设计了声表面波检测器电路,灵敏度达到1KHz/ng。对基于声表面波检测技术和毛细管分离技术的肺癌呼吸诊断电子鼻仪器进行了总体设计。整个仪器主要分为:气体采集与预处理系统、气体分离系统、气体检测系统、数据分析和通讯系统、软件诊断系统等。并对各个系统进行了论证,设计了仪器的气路结构。设计并实现了仪器的硬件和软件部分。利用最小二乘法拟合的方法解决了Pt100铂电阻测温时带来的非线性误差;采用PID算法实现精确控温。对仪器的各个电路模块进行了标定。整个仪器实现了自动化,在上位机操作界面中完成仪器的控制。MSP430作为下位机的控制核心,执行上位机发送的指令。C51完成检测信号的采集和处理。上位机软件实时显示仪器的工作状态,并且可以发出控制信号调整仪器的工作状态,初步建立了诊断系统。完成仪器的标定和临床应用研究。针对与肺癌相关的几种挥发性有机气体,仪器进行了标定,利用仪器对几例肺癌病人和正常人进行了诊断,诊断结果良好。我们研制的肺癌呼吸诊断电子鼻仪器可以作为一种肺癌诊断的辅助手段,为医师提供参考依据,将来还可以应用到其它与呼吸有关的病症诊断。更多还原

【Abstract】 Lung cancer is the leading cause of cancer death in both men and women, and badly threatens the health of human .The diagnosis in the early stage is the key to decrease the rate of death caused by lung cancer .Presently, there is no routine and simple instrument to diagnose early lung cancer in the clinic .Breath diagnosis is a novel and non-invasive technology and reflects the metabolism change of tissue by detecting the VOCs in the patient’s breath gas. The e-nose is convenient. In this dissertation we propose a novel e-nose based on a kind of virtual array of surface acoustic wave (SAW) gas sensors and an imaging recognition method to diagnose lung cancer.The main research content of this work:According to the foreign research, the breath gas of lung cancer patient contains the marker VOCs .We choose the SAW gas sensor and design the detecting circuit. Its sensitivity to mass change can reach 1 KHz/ng .We propose a novel e-nose based on a kind of virtual array of surface acoustic wave (SAW) gas sensors and an imaging recognition method, and design the structure of the instrument, which contain several parts, such as collection and pretreatment system, separation system, detecting system, data analysis and communication system, diagnosis software .We demonstrate every system and design the gas path.We design and implement the hardware and software of this instrument, resolve the nonlinearity of Pt100 resistance using least square fitting method , accurately control temperature using PID arithmetic . The circuit of the e-nose was calibrated by standard methods and the calibration components. MSP430 is the controlling core in the lower computer and the instrument is controlled by manipulating the upper computer’s software. We study and design a diagnosis system.This instrument is used in the clinical application. Using the e-nose to detect lung cancer patients and healthy persons, the results is fine. The research produces a relatively noninvasive tool effective in diagnosing lung cancer at an early and potentially curable stage. These breath biomarkers may eliminate the need for additional and often more invasive diagnostic tests that are costly, incur risk, and prolong the diagnostic evaluation of people with suspicion of lung cancer and can provide public health benefit by saving lives.更多还原