In this paper, photoacoustic spectroscopy method is used for hydrogen gas detection. In order to improve the performance of the sensor, we have used a miniaturized dumbbell-shaped cell containing two buffer volumes and a resonator. The coupled photoacoustic equations have been solved in gaseous environment using finite-element-method and by corresponding validation. The impacts of various effective parameters such as frequency response, quality factor, acoustic pressure and heat have been analyzed. Frequency analysis in the hydrogen gas medium leads to the first natural frequency of the sensor at 88.563 kHz which has 65 kHz difference with the second natural frequency. By studying the behavior of the resonance frequencies of the proposed system, the optimum location for the sensor positioning of the designed system has been investigated for different gases and the results show that the designed photoacoustic sensor has the fingerprint feature for detecting hydrogen gas. Moreover, the results of the cell filled by hydrogen gas have been compared to those obtained from other gases such as propane, nitrogen and carbon dioxide. The performance of the system is also evaluated for volatile organic compounds (VOCs) and nitrogen dioxide (NO₂). The analysis of the proposed miniature system shows a significant improvement in the quality factor as well as the reduction in system losses.

本文采用光声光谱法对氢气进行检测。为了提高传感器的性能，我们使用了一个小型的哑铃形电池，其中包含两个缓冲体积和一个谐振器。耦合光声方程已在气态环境中使用有限元方法并通过相应的验证进行了求解。分析了各种有效参数（例如频率响应，品质因数，声压和热量）的影响。氢气介质中的频率分析导致传感器的第一固有频率为88.563 kHz，与第二固有频率相差65 kHz。通过研究所提出系统的谐振频率的行为，对不同气体对所设计系统的传感器定位的最佳位置进行了研究，结果表明所设计的光声传感器具有检测氢气的指纹特征。此外，将氢气填充的电池的结果与从其他气体（如丙烷，氮气和二氧化碳）获得的结果进行了比较。还针对挥发性有机化合物（VOC）和二氧化氮（NO₂）。对所建议的微型系统的分析表明，质量因数得到了显着改善，并且系统损失减少了。