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某些被称作“电子鼻”的仪表已商品化,此类仪表通常是一个基于某种传感原理的多传感器系统,所应用的单个传感器常显示漂移和灵敏度不足等问题。因而导致了传感器阵列在标定和重现性方面的明显缺陷。作者致力于开发对多种化学组份具有精确时间和空间分辨特性的“化学图象”。采用了由足够数量经标定的传感器阵列所构成的“电子鼻”来提高对气味的人工识别。为了得到优异的“化学图象”,首先需对甚至在理论上高达10~(21)个的参数进行测量和数据采集,然后再以模式识别方法对所得信息进行综合及解析,方有可能得到接近实际的“化学图象”。近来,作者已将此种努力扩展至生物传感器体系,因而出现了“电子鼻”技术与生物体系高效杂交的系统,推动了正在酝酿中的“生物电子鼻”的出现。
Some instruments, called “electronic nose”, have been commercialized. Such instruments are usually multi-sensor systems based on a certain sensing principle. The single sensor used often shows such problems as drift and lack of sensitivity. This results in significant defects in calibration and reproducibility of the sensor array. The author is committed to developing “chemical images” that have accurate time and space resolution characteristics for a wide range of chemical compositions. An “electronic nose” consisting of a sufficient number of calibrated sensor arrays is used to improve the artificial identification of odors. In order to obtain excellent “chemical images”, it is first necessary to measure and collect even theoretically as many as 10 to (21) parameters, and then to synthesize and analyze the information obtained by the pattern recognition method, it is possible to obtain Close to the actual “chemical image.” Recently, the authors have extended this effort to the biosensor system, resulting in a system of efficient hybridization of “electronic nose” technology and biological systems, driving the emergence of a “bioelectronic nose” in the pipeline.