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面向人体气味检测的柔性传感器阵列研究
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  • 英文篇名:Study of flexible sensor array for body odor detection
  • 作者:李晗宇 ; 郑雁公 ; 简家文
  • 英文作者:LI Han-yu;ZHENG Yan-gong;JIAN Jia-wen;Faculty of Electrical Engineering and Computer Science,Ningbo University;
  • 关键词:电子鼻 ; 柔性传感器 ; 人体气味 ; 主元分析法
  • 英文关键词:electronic nose;;flexible sensor;;body odor;;principal component analysis(PCA)
  • 中文刊名:CGQJ
  • 英文刊名:Transducer and Microsystem Technologies
  • 机构:宁波大学信息科学与工程学院;
  • 出版日期:2018-06-01 14:06
  • 出版单位:传感器与微系统
  • 年:2018
  • 期:v.37;No.316
  • 基金:国家自然科学基金资助项目(61471210,61501271,51472126)
  • 语种:中文;
  • 页:CGQJ201806003
  • 页数:4
  • CN:06
  • ISSN:23-1537/TN
  • 分类号:13-15+19
摘要
提出了一种用于检测人体气味的可穿戴式柔性传感器阵列。采集志愿者的人体气味并通过气相质谱-色谱分析得到传感器测试的目标气体;使用碳纳米管(CNT)/有机物复合敏感材料制备传感器阵列,将传感器阵列置于静态测试装置中进行单一气体测试和混合气体测试;提取传感器阵列相对响应,采用主元分析法(PCA)进行降维聚类。实验结果表明:所制备的传感器在静态测试中识别准确率为100%,可以识别不同的混合气体,具有识别不同人体的潜力。
        A wearable flexible sensor array is proposed to identify body odors. The volunteers ' body odor are collected and the target gas for sensor testing is obtained by GC-MS. A sensor array is fabricated by using carbon nanotube( CNT)/organic composite sensitive material. The sensor array is placed in a static test device for single gas test and mixed gas test. Contrast response of sensor array is extracted by using principal component analysis( PCA) to reduce dimensionality and clustering. The experimental results show that the prepared sensor has 100 %recognition accuracy in static test,which can identify different mixed gas environment and has the potential to be used in human test to identify different human body.
引文
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