Sensitivity improvement of quartz-enhanced photoacoustic spectroscopy using the stochastic resonance method

IF 6.8 1区医学 Q1 ENGINEERING, BIOMEDICAL Photoacoustics Pub Date : 2025-06-01 Epub Date: 2025-02-27 DOI:10.1016/j.pacs.2025.100707

Yingchao Xie , Hao Xiong , Shiling Feng , Ning Pan , Chuan Li , Yixuan Liu , Ye Zhang , Ligang Shao , Gaopeng Lu , Kun Liu , Guishi Wang

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Abstract

Quartz-enhanced photoacoustic spectroscopy (QEPAS) is a promising technique for trace gas sensing, offering advantages such as compact size and high sensitivity. However, noise remains a critical factor limiting detection sensitivity. In this study, a novel approach was proposed to leverage noise for the enhancement of weak QEPAS signals. The method employs stochastic resonance (SR), which counterintuitively utilizes noise to amplify weak spectral signals, thereby significantly improving the signal-to-noise ratio of the QEPAS sensor. The effectiveness of this approach was demonstrated through methane (CH₄) detection using QEPAS. Experimental results indicate that the SR algorithm enhances the output signal by a factor of 3 and reduces the minimum detection limit (MDL) from 329 ppb to 85 ppb compared to conventional QEPAS. The proposed SR-enhanced algorithm presents a promising strategy for further improving QEPAS sensor performance in trace gas detection.

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利用随机共振方法提高石英增强光声光谱的灵敏度

石英增强光声光谱（QEPAS）具有体积小、灵敏度高等优点，是一种很有前途的痕量气体传感技术。然而，噪声仍然是限制检测灵敏度的关键因素。在本研究中，提出了一种利用噪声增强弱QEPAS信号的新方法。该方法采用随机共振（SR），与直觉相反，利用噪声放大微弱的频谱信号，从而显著提高QEPAS传感器的信噪比。通过QEPAS对甲烷（CH₄）的检测，验证了该方法的有效性。实验结果表明，与传统的QEPAS相比，SR算法将输出信号增强了3倍，并将最小检测限（MDL）从329 ppb降低到85 ppb。提出的sr增强算法为进一步提高QEPAS传感器在痕量气体检测中的性能提供了一种有前途的策略。

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来源期刊

Photoacoustics Physics and Astronomy-Atomic and Molecular Physics, and Optics

CiteScore

11.40

自引率

16.50%

发文量

审稿时长

53 days

期刊介绍： The open access Photoacoustics journal (PACS) aims to publish original research and review contributions in the field of photoacoustics-optoacoustics-thermoacoustics. This field utilizes acoustical and ultrasonic phenomena excited by electromagnetic radiation for the detection, visualization, and characterization of various materials and biological tissues, including living organisms. Recent advancements in laser technologies, ultrasound detection approaches, inverse theory, and fast reconstruction algorithms have greatly supported the rapid progress in this field. The unique contrast provided by molecular absorption in photoacoustic-optoacoustic-thermoacoustic methods has allowed for addressing unmet biological and medical needs such as pre-clinical research, clinical imaging of vasculature, tissue and disease physiology, drug efficacy, surgery guidance, and therapy monitoring. Applications of this field encompass a wide range of medical imaging and sensing applications, including cancer, vascular diseases, brain neurophysiology, ophthalmology, and diabetes. Moreover, photoacoustics-optoacoustics-thermoacoustics is a multidisciplinary field, with contributions from chemistry and nanotechnology, where novel materials such as biodegradable nanoparticles, organic dyes, targeted agents, theranostic probes, and genetically expressed markers are being actively developed. These advanced materials have significantly improved the signal-to-noise ratio and tissue contrast in photoacoustic methods.