Dual domain acoustic olfactory discriminator
Dual domain acoustic olfactory discriminator
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DOI：
10.1016/j.sna.2022.114102
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发表时间：
2022-12
期刊：
影响因子：
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通讯作者：
T. Yildirim;Meng-Qun Feng;Thuc Anh Ngo;Kota Shiba;K. Minami;Genki Yoshikawa
中科院分区：
文献类型：
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作者：
T. Yildirim;Meng-Qun Feng;Thuc Anh Ngo;Kota Shiba;K. Minami;Genki Yoshikawa
结合四分之一波长谐振器、扬声器和麦克风的声转导用于检测和识别诸如正己烷、丙酮和乙醇等气体性质。当目标气体流入谐振器时，谐振器中气体的密度和声速发生变化，导致从扬声器发出的声压波发生移位。在可听频率范围内，采用标准的1/倍频粉红噪声测试，实验得到了每种气体的共振频率曲线。由得到的共振频率解析确定了每种气体的声速。随着目标气体流动浓度的增加，声速随气体密度的增加而减小。固定频率的时间序列信号对每种气体和浓度表现出独特的特征。计算了正己烷在时域内的理论检出限为几十ppm。频域数据获得直接的物理参数，而时域数据可以进行多维数据分析，为人工嗅觉传递决定性数据。主成分分析（PCA）基于对偶域测量获得的多维数据，揭示了气体种类和浓度的独特属性和区别。这项研究表明，该装置可以充分识别浓度至少为几千ppm的气体。这种方法可以提供一个新的平台，作为与人工嗅觉相结合的移动气体鉴别器，并具有音频功能和信号处理技术的额外好处。
Acoustic transduction combining a quarter wavelength resonator, a speaker and a microphone is used for the detection and identification of gas properties such asn-hexane, acetone and ethanol. As a target gas flows into the resonator, the density and the speed of sound of the gas in the resonator change, causing a shift in the acoustic pressure waves manifesting from the speaker. Resonance frequency curves of each gas were experimentally obtained using a standard 1/fequal octave pink noise test over the audible frequency range. The speed of sound of each gas was analytically determined from the obtained resonance frequency. As the flow concentration of a target gas increases, the speed of sound decreases as the gas density increases. Time series signals at a fixed frequency exhibit unique profiles for each gas and concentration. The theoretical limit of detection forn-hexane in the time domain was calculated to be in the order of several tens of ppm. Whilst the frequency domain data obtains a direct physical parameter, time domain data enables multi-dimensional data analysis, relaying decisive data for artificial olfaction. Principal component analysis (PCA) reveals unique attributes and discrimination per gas species and concentration based on multi-dimensional data obtained through the dual domain measurements. This study demonstrates that the device can adequately identify gases at concentrations of at least several thousand ppm. This approach may provide a new platform as a mobile gas discriminator coupled to artificial olfaction with the added benefit of audio capabilities and signal processing techniques.