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Flow field sensing with bio-inspired artificial hair cell arrays

机译:利用生物启发的人造毛细胞阵列进行流场传感

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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, an artificial hair cell (AHC) sensory method based on bio-membrane transducers is developed for airflow sensing. One-dimensional arrays built from modular AHC units 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 bilayers) by virtue of their mechanosensitive properties. The AHC outputs are combined into one channel, requiring a demultiplexing operation to recover individual hair cell information. This is achieved by tuning each AHC hair length to a unique frequency response and recovering individual sensor information based on the frequency content of the signal. The method is entitled tuned frequency response encoding (TFRE). When several AHC units are excited simultaneously by an airflow, the resulting signal is a superposition of each sensor's individual response. The excitation at each sensor is reconstructed from the frequencies that appear in the combined output. This technique was inspired by how organisms use hair cells with tuned responses to mechanically process flow stimuli. It takes advantage of a novel AHC's high signal-to-noise ratio (compared to other membrane-based AHCs) and linear output response to flow velocity. Initial tests with linear arrays of three AHCs show success in estimating the shape of the velocity profile from an air source that varies in position and intensity. However, temporal variations in some cases in membrane size affect sensitivity properties and make accurate flow velocity estimation difficult. Nevertheless, under stable conditions, the measured velocity profiles match 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 biomolecular materials.
机译:毛细胞是一种生物传感器,它使用微观的类似于头发的结构来检测周围流体的精细运动。受此原理的启发,开发了一种基于生物膜换能器的人工毛细胞(AHC)传感方法,用于气流传感。由模块化AHC单元构建的一维阵列可测量流量曲线中不同点的局部速度。每个AHC单元都使用薄挤出的玻璃纤维作为空气速度的机械接收器。头发的振动由于其机械敏感性而通过水凝胶支撑的(脂质双层)转换为电流。 AHC输出被合并为一个通道,需要进行多路分解操作以恢复单个毛细胞信息。这是通过将每个AHC头发的长度调整为唯一的频率响应并根据信号的频率内容恢复单个传感器信息来实现的。该方法称为调谐频率响应编码(TFRE)。当多个AHC单元被气流同时激励时,所得到的信号就是每个传感器各自响应的叠加。每个传感器的激励是根据组合输出中出现的频率重建的。这种技术的灵感来自于生物体如何利用具有响应性的毛细胞来机械处理血流刺激。它利用了新型AHC的高信噪比(与其他基于膜的AHC相比)和对流速的线性输出响应。使用三个AHC的线性阵列进行的初始测试成功地估算了位置和强度变化的空气源的速度分布曲线的形状。然而,在某些情况下,膜尺寸的时间变化会影响灵敏度特性,并使准确的流速估算变得困难。尽管如此,在稳定条件下,测得的速度曲线与理论预测值非常吻合。阵列感测方法的实施证明了基于双层的AHC阵列的感官能力,但突显了与生物分子材料实现一致性能的困难。

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