基于LAPS的电子舌的设计与实现

摘要

Objective: A sensor system for measuring five basic taste substances is presented based on the principle of LAPS. Methods: The taste recognition system (Electronic tongue) based on the taste sensor arrays, which is the kind of taste perception system for intelligence qualitative and quantitative identification, can sense liquid sample by detection of response signal using advanced information fusion algorithm. It is mainly composed by the sensor array,signal processing and pattern recognition system. This paper introduced the working principle of LAPS; It expatiated the manufacture method of T1O2 Sol-Gel molecular imprinting membrane, the molecularly imprinted sensitive membrane showed high performance on taste material element identification and light addressing taste perception biosensors array research has the vital significance; designed a light-addressable potentiometric sensor (LAPS) taste perception hardware and software system to measure the response signals of five basic taste substances; the PCA and artificial neural network algorithm were carried out to distinguish and detection of five different taste substances. Results: Five test samples of the taste through this taste perception system were close to their respective output corresponding expected output. The system realized five different taste materials distinction and detection. Conclusions: Taste bionic perception technology research on artificial intelligence has very important significance for promoting the rapid development of artificial science, and the scientific and effective detection technology to taste quality assessment is an inevitable trend of development. Therefore, this paper was designed an electronic tongue system based on the principle of LAPS which has very important application value and practical significance.%目的:基于光寻址电位传感器(LAPS)的原理设计一种用于对酸、甜、苦、咸、鲜五种基本味觉物质进行测量的传感器系统.方法:基于味觉传感器阵列智能味觉识别系统一电子舌是一种利用多传感器阵列感测液体样品,然后集合信息融合算法对液体样品定性、定量识别的技术,它主要由传感器阵列、信号处理和模式识别系统组成.本文主要包括以下几个方面:介绍了LAPS的工作原理;阐述了TiO2溶胶一凝胶分子印记膜的制备方法,使用分子印迹膜技术制备的敏感膜,对味觉物质分子表现为高度的识别性,对光寻址味觉感知生物传感器阵列的研究具有重要的意义;设计出光寻址电位传感器(LAPS)味觉感知系统的硬件软件系统测试了五种味觉物质的响应信号;采用PCA以及人工神经网络算法对五种不同味觉物质响应信号进行模式识别.结果:通过该味觉感知系统测试样本中的五个味道样本的输出分别接近各自对应的期望输出,可以正确判别出五种味觉的结果,实现了对五种不同味觉物质的区分和检测.结论:味觉仿生感知技术的研究对人工智能的飞跃发展具有十分重要的意义,采用科学有效的检测技术手段来评价味觉品质是必然的发展趋势.因此,本文基于LAPS原理的电子舌系统的研究具有重要的应用价值和实际意义.