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Highly-sensitive detection of medical chemical substances using taste sensor and automatized production of chemicals with desired taste

利用味觉传感器高灵敏度检测医用化学物质并自动化生产所需味道的化学品

基本信息

批准号：
06650366
负责人：
TOKO Kiyoshi
金额：
$ 1.28万
依托单位：
KYUSHU UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1994
资助国家：
日本
起止时间：
1994 至 1995
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-06650366/
关键词：
LB MEMBRANE LIPID MEMBRANE MEMBRANE POTENTIAL MEMBRANE IMPEDANCE COUPLED-OSCILLATOR SYSTEM 脂肪膜

项目摘要

Thin lipid membranes were obtained using a Langmuir-Blodgett (LB) method. Electrochemical characteristics of the LB membranes such as the membrane resistance and capacitance were studied. This membrane-impedance measurement clarified that the electric resistance of LB membrane increased with addition of chemical substances producing bitterness, whereas it changed a little by other substances showing sourness, sweetness, saltiness and umami taste. This fact implies that bitter substances are strongly bound to the LB membrane and also suggests the mechanism of bitterness produced by many kinds of medical chemical substances.Furthermore, taste-recognition system was developed using a kind of neural-network model to transform electric potential patterns from the taste sensor to taste qualities. It was also shown that chaos plays an important role in recognition process in a coupled-oscillator nonlinear system which mimics the a group of neurons in brain. When information that is much dofferent from already-known information was input to the system, chaotic oscillations appeared, as observed in real biological systems.As a result, we have obtained a possibility of taste-recognition system constructed from LB membranes as a receptor part and coupled-oscillator nonlinear system as a recognition part.

采用Langmuir-Blodgett （LB）法制备脂质膜。研究了LB膜的电阻、电容等电化学特性。膜阻抗测定表明，LB膜的电阻随着产生苦味的化学物质的加入而增加，而其他产生酸、甜、咸、鲜味的化学物质对LB膜的电阻变化不大。这一事实说明苦味物质与LB膜有很强的结合，也提示了多种药用化学物质产生苦味的机理。在此基础上，利用神经网络模型将味觉传感器的电位模式转化为味觉品质，建立了味觉识别系统。在模拟大脑神经元群的耦合振荡非线性系统中，混沌在识别过程中起着重要的作用。当与已知信息相差甚远的信息输入系统时，就会出现混沌振荡，正如在真实的生物系统中观察到的那样。由此，我们获得了以LB膜为受体部分，以耦合振荡器非线性系统为识别部分构建味觉识别系统的可能性。