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Distributed optical microsensors for hydrogen leak detection and related applications

机译：分布式光学微传感器，用于氢气泄漏检测及相关应用

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Significant advances have recently been made to develop optically interrogated microsensor based chemical sensors with specific application to hydrogen vapor sensing and leak detection in the hydrogen economy. We have developed functionalized polymer-film and palladium/silver alloy coated microcantilever arrays with nanomechanical sensing for this application. The uniqueness of this approach is in the use of independent component analysis (ICA) and the classification techniques of neural networks to analyze the signals produced by an array of microcantilever sensors. This analysis identifies and quantifies the amount of hydrogen and other trace gases physisorbed on the arrays. Selectivity is achieved by using arrays of functionalized sensors with a moderate distribution of specificity among the sensing elements. The device consists of an array of beam-shaped transducers with molecular recognition phases (MRPs) applied to one surface of the transducers. Bending moments on the individual transducers can be detected by illuminating them with a laser or an LED and then reading the reflected light with an optical position sensitive detector (PSD) such as a CCD. Judicious selection of MRPs for the array provides multiple isolated interaction surfaces for sensing the environment. When a particular chemical agent binds to a transducer, the effective surface stresses of its modified and uncoated sides change unequally and the transducer begins to bend. The extent of bending depends upon the specific interactions between the microcantilever's MRP and the analyte. Thus, the readout of a multi-MRP array is a complex multidimensional signal that can be analyzed to deconvolve a multicomponent gas mixture. The use of this sensing and analysis technique in unattended networked arrays of sensors for various monitoring and surveillance applications is discussed.
机译：近来，在开发基于光学询问的基于微传感器的化学传感器方面取得了重大进展，这些传感器特别适用于氢气经济中的氢气检测和泄漏检测。我们已经针对此应用开发了具有纳米机械感测功能的功能化聚合物膜和钯/银合金涂层微悬臂阵列。这种方法的独特之处在于使用独立分量分析（ICA）和神经网络的分类技术来分析由一系列微悬臂梁传感器产生的信号。该分析可识别并量化阵列上物理吸附的氢气和其他痕量气体的量。选择性是通过使用功能化的传感器阵列实现的，这些阵列的传感元件之间的特异性分布中等。该设备由一系列束状换能器组成，分子识别相（MRP）应用于换能器的一个表面。可以通过用激光或LED照亮各个换能器来检测弯矩，然后用诸如CCD的光学位置敏感检测器（PSD）读取反射光。明智地选择阵列的MRP，可以提供多个隔离的交互表面来感知环境。当特定化学试剂结合到换能器上时，其修饰的和未涂层的侧面的有效表面应力会不均匀地变化，并且换能器开始弯曲。弯曲程度取决于微悬臂梁的MRP与分析物之间的特定相互作用。因此，多MRP阵列的读数是一个复杂的多维信号，可以对其进行分析以解卷积多组分气体混合物。讨论了这种传感和分析技术在无人值守的传感器网络阵列中用于各种监视和监视应用的情况。

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