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AIRFLOW SENSING WITH ARRAYS OF HYDROGEL SUPPORTED ARTIFICIAL HAIR CELLS

机译:带有水力支撑的人造毛细胞阵列的气流感应

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The hair cell is a biological sensor that uses microscopic hair-like structures to detect delicate motions of surrounding fluid. Inspired by this principle, we have created an artificial hair cell (AHC) sensory method based on biomolecular trans-duction for sensing spatial variations in air flow. The key feature of this method is the use of one-dimensional arrays built from modular AHC units which measure local velocity at different points in a flow profile. Each of the AHC units uses thinly extruded glass fibers as mechanical receptors of air velocity. Hair vibrations are converted to current via hydrogel-supported lipid bilayer membranes through their mechanocapacitive properties. Preliminary tests with linear arrays of three AHC units attempt to measure the air source profile with varying position and intensity. Each unit was fabricated with a hair of different length, giving it a unique vibrational response. This technique was inspired by how organisms use hair cells with tuned responses to mechanically process flow stimuli. A significant challenge in processing the sensors' output was the limitation of one input channel on the current measurement unit, thus each sensor output had to be sent over the same channel. When several AHC units are excited simultaneously by an airflow, the resulting signal is a superposition of each sensor's individual response. To separate the signals back into their individual measurements, the Hair Frequency Response Decomposition method is developed, which maps the spectral content of a combined output to the location of excitation in the array. This method takes advantage of the AHC's high signal-to-noise ratio (compared to other membrane-based AHCs) and linear output response to flow velocity. Results show that the bilayers' consistent spectral responses allow for an accurate localization of sensor excitation within the array. However, temporal variations in bilayer size affect sensitivity properties and make accurate flow velocity estimation difficult. Nevertheless, under stable bilayer conditions the measured velocity profiles matched closely with theoretical predictions. The implementation of the array sensing method demonstrates the sensory capability of bilayer-based AHC arrays, but highlights the difficulties of achieving consistent performance with bio-molecular materials.
机译:毛孔是一种生物传感器,使用微观毛发状结构来检测周围流体的精细运动。灵感来自这种原理,我们创造了一种基于生物分子转导的人工毛细胞(AHC)感觉方法,用于感测气流的空间变化。该方法的关键特征是使用由模块化AHC单元构建的一维阵列,该单元测量流动轮廓中不同点处的局部速度。每个AHC单元使用薄挤出的玻璃纤维作为空气速度的机械受体。通过其机理性质将毛发振动通过水凝胶负载的脂双层膜转化为电流。具有三个AHC单元的线性阵列的初步测试试图测量具有不同位置和强度的空气源轮廓。每个单元用不同长度的头发制造,使其具有独特的振动反应。这种技术的灵感来自生物体如何使用毛发细胞与机械过程流动刺激的调节响应如何。处理传感器输出的一个重大挑战是对电流测量单元上一个输入通道的限制,因此必须在同一信道上发送每个传感器输出。当通过气流同时激发几个AHC单元时,所得到的信号是每个传感器的个体响应的叠加。为了将信号分离回其单独的测量,开发了毛发频率响应分解方法,其将组合输出的频谱内容映射到阵列中激励的位置。该方法利用AHC的高信噪比(与其他基于膜的AHC)和对流速的线性输出响应相比。结果表明,双层的一致光谱响应允许在阵列内精确定位传感器激励。然而,双层大小的时间变化会影响灵敏度性能并使精确的流速估计困难。然而,在稳定的双层条件下,测量的速度谱与理论预测密切相关。阵列感测方法的实现证明了双层的AHC阵列的感官能力,但突出了通过生物分子材料实现一致性性能的难点。

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