碳纳米管生物传感器及随机共振检测系统研究

The carbon nanotube sensor has been the hot area of transcuder research in recent years, it has shown great potential in the biomedical, microelectronics, micro-mechanical, environmental protection field and so on. The stochastic resonance theory provides a new idea for the detection of faint signals under strong noises. The project proposed a new stochastic resonance detection system based on aligned carbon nanotubes biosensor to increase effectively the signal to noise ratio and detection characteristics of the biosensor. The project first study the preparation, modification, characterization of aligned carbon nanotubes, and combine with bioactive substances(Glucose Oxidase would been adopted in this project ) to constuct the detection system of carbon nanotubes biosensor, and then study the dynamic characteristics of bistable stochastic resonance system and its simulation applications to clarify how does the noise enhance the energy of the weak signal through nonlinear system, and the relationship between the systems, signal, noise when access to the state of the resonance. Eventually the project would build a multi-layer cascade measurement system of glucose biosensor based on stochastic resonance and proposed the signal detection model based on the actual acquisition and numerical verification to improve the detection performance and reach microconcentration. The implementation of the project would help our country to obtain the independent intellectual property rights of new materials and weak signal detection technology related to the sensor field, it has a high academic significance and application value.

碳纳米管传感器近年来成为传感研究领域的热点,在生物医学、微电子、微机械、环境保护等领域崭露头角。随机共振理论为强噪声背景下微弱信号检测提供了新思路。本项目提出一种全新的定向碳纳米管生物传感器随机共振检测系统，以有效增高生物传感器的信噪比和检测特性。项目首先研究定向碳纳米管的制备、修饰、表征，并与生物活性物质结合（本项目以葡萄糖氧化酶为试验样本）构制碳纳米管生物传感器，并进行双稳随机共振系统的动力学研究与仿真应用，研究噪声如何通过非线性系统来增强弱信号的能量，以及进入随机共振状态时，系统、信号、噪声之间的关系。项目最终构建多层级联葡萄糖传感器随机共振测量系统，依据实际采集的信号提出具体的检测模型并进行数值验证，从而改善其检测性能并向微浓度量级冲刺。本项目的研究实施有助于我国在传感器相关的新材料领域和微弱信号检测技术方面形成自主知识产权，具有较高的学术意义和应用价值。

碳纳米管传感器近年来成为传感研究领域的热点，在生物医学、微电子、微机械、环境保护、生物化工等领域崭露头角。随机共振是一个非线性系统，能将部分噪声能量转化为信号能量以增强微弱信号检测能力，有效提高系统输出信噪比和检测特性。. 本项目首先研究了碳纳米管的制备，以及以葡萄糖氧化酶为试验样本的碳纳米管生物传感器的构建。项目针对随机共振在工程实际信号中系统参数优化困难的问题，研究了自适应参数调节随机共振，阈值随机共振系统，并进一步结合最优化理论，利用智能优化算法，构建了基于遗传算法多参数同时优化的随机共振系统。项目同时研究了随机共振的表征方法，提出了加权信噪比，互相关系数等评价指标，最后项目构建低浓度气体检测随机共振检测系统，实验表明系统的检测速度和精度均有了很大的提高。. 本项目为传感器检测技术提供了新思路，在随机共振系统构建和参数的自适应选择方面提出了可行有效的方法，所设计的基于随机共振的传感检测系统在微弱信号检测技术方面具有较高的学术意义和应用价值。