基于超细纳米纤维构建的高灵敏甲醛气体传感器研究

项目名称： 基于超细纳米纤维构建的高灵敏甲醛气体传感器研究

项目编号： No.51273038

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 一般工业技术

项目作者： 俞建勇

作者单位： 东华大学

项目金额： 80万元

中文摘要： 研制和开发新型纳米材料修饰的气体传感器在环境监测领域具有重要的科学意义和实用价值。申请者现制备出一种以静电纺纤维为支架的、具有类似于蜘蛛网结构的新型二维网状传感膜材料（纳米蛛网），网中纤维的平均直径小于20nm。纳米蛛网独特的输运网络赋予三维立体纤维传感膜以较高的比表面积和孔隙率，可大幅提升传感器的性能。本项目将纳米蛛网与石英晶体微天平（QCM）检测技术结合，构建高灵敏度和高选择性在线检测超痕量甲醛的气体传感器。模拟纳米蛛网材料成型的动态演变过程，确立蛛网介观形态结构的调控机制；建立复杂外场条件下纳米蛛网成型过程的电流体力学模型；研究纳米蛛网定位沉积控制技术，优化纤维膜表面修饰与组装的方法；揭示气体分子在纳米蛛网材料表界面相互作用的微观机理；构建高基频甲醛气体QCM在线检测系统，实现传感器对50ppb甲醛气体的无干扰、高灵敏检测，以满足室内甲醛气体监测和控制的迫切需求。

中文关键词： 静电喷网；超细纳米纤维；可控制备；甲醛传感器；石英晶体微天平

英文摘要： Research and development of the novel nanomaterials modified gas sensors have scientific significance and practical value for environmental monitoring. Novel two-dimensional spider-web-like sensing membranes (nano-nets) with ultrathin diameter (20 nm) supported by electrospun nanofibers were fabricated. Three-dimensional fibrous sensing membranes with the unique transport network have larger specific surface area and porosity, which great enhanced the sensor performance. In this work, we will fabricate highly sensitive and selective formaldehyde sensors with online and trace detection ablity using nano-nets as sensitive coatings on quartz crystal microbalance (QCM), simulating dynamic evolution process of nano-nets, establishing the regulation mechanism of nano-nets mesoscopic morphological structure, building electric-fluid mechanics model of the formation of nano-nets in the complex outfield, studying the targeted deposition technology of nano-nets, optimizing surface modification and assembly strategis of fibrous membranes, revealing the micro-mechanism of interaction between gas molecules and the surface of nano-nets materials, establishing the on-line detection system of QCM-based formaldehyde sensors, achieving highly sensitive detection of 50 ppb formaldehyde, to fulfill the urgent needs of monitoring and

英文关键词： Electrospinning/netting；Ultrathin nanofibers；Controllable fabrication；Formaldehyde sensors；Quartz crystal microbalance