A study of an electronic nose for detection of lung cancer based on a virtual SAW gas sensors array and imaging recognition method
A study of an electronic nose for detection of lung cancer based on a virtual SAW gas sensors array and imaging recognition method
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DOI：
10.1088/0957-0233/16/8/001
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发表时间：
2005-08-01
影响因子：
2.4
通讯作者：
Pan, HM
中科院分区：
文献类型：
--
作者：
Chen, X;Cao, MF;Pan, HM
在本文中，我们提出了一种基于表面声波（SAW）气体传感器虚拟阵列和成像识别方法的肺癌无创检测和诊断电子鼻。它包括由双袋系统、固相微萃取（SPME）和毛细管柱组成的气路，用于预先浓缩和分离患者呼出空气中的挥发性有机化合物（VOCs）。一对SAW传感器，其中一个涂有薄聚异丁烯（PIB）薄膜，用于检测化学化合物。通过该电子鼻，可以对病理研究证实为肺癌标志物的11种挥发性有机化合物进行定性和定量检测。在此基础上，提出了一种改进的人工神经网络（ANN）算法，结合成像方法对患者进行识别。此外，还提出了基于声表面波传感器的虚拟传感器阵列的概念，利用毛细管柱分离技术和成像技术来模拟大规模的传感器阵列响应。最后，将这11种挥发性有机化合物以三种浓度分离出来，对电子鼻进行校准，并用于邵逸夫医院肺癌患者的诊断。实验结果表明，这种电子鼻对肺癌患者的识别是有效的。
In this paper, we propose an electronic nose for non-invasive detection and diagnosis of lung cancer based on a kind of virtual array of surface acoustic wave (SAW) gas sensors and an imaging recognition method. It includes a gas path constructed from a two-bag system, solid phase micro extraction (SPME) and a capillary column to pre-concentrate and separate volatile organic compounds (VOCs) in patients' exhaled air. A pair of SAW sensors, one coated with a thin polyisobutylene (PIB) film, is used to detect chemical compounds. Eleven VOCs that are validated as the markers of lung cancer according to a pathology study can be detected qualitatively and quantitatively by this electronic nose. Then, an improved artificial neural network (ANN) algorithm combined with an imaging method is proposed for the recognition of patients. In addition, the concept of a virtual sensors array based on SAW sensors using a capillary column separation technique and imaging is also proposed to simulate a large scale of sensor array response. Finally this e-nose is calibrated by these 11 VOCs separated in three concentrations and is used to diagnose lung cancer patients in Run Run Shaw hospital. The experimental results show that this kind of electronic nose is effective in the recognition of lung cancer patients.