Zaman Thasin Mohammad, Kaysir Md Rejvi, Rassel Shazzad, Ban Dayan
Department of Electrical and Electronic Engineering (EEE), Khulna University of Engineering & Technology (KUET), Khulna 9203, Bangladesh.
Photonics Research Group, Department of EEE, Khulna University of Engineering & Technology (KUET), Khulna 9203, Bangladesh.
Biosensors (Basel). 2025 Apr 16;15(4):254. doi: 10.3390/bios15040254.
Noninvasive blood glucose monitoring is crucial for diabetes management, and photoacoustic spectroscopy (PAS) offers a promising solution by detecting glucose levels through human skin. However, weak acoustic signals in PAS systems require optimized resonator designs for enhanced detection sensitivity. Designing such resonators physically is complex, requiring the precise identification of critical parameters before practical implementation. This study focused on optimizing a T-shaped photoacoustic resonator using finite element modeling in a COMSOL Multiphysics environment. By systematically varying the geometric design parameters of the T-cell resonator, a maximum increase in the pressure amplitude of 12.76 times with a quality factor (Q-factor) of 47.5 was achieved compared to the previously designed reference acoustic resonator. This study took a significant step forward by identifying key geometric parameters that influence resonator performance, paving the way for more sensitive and reliable noninvasive glucose monitoring systems.
无创血糖监测对于糖尿病管理至关重要，光声光谱法（PAS）通过检测人体皮肤中的葡萄糖水平提供了一种很有前景的解决方案。然而，PAS系统中的微弱声学信号需要优化谐振器设计以提高检测灵敏度。从物理上设计此类谐振器很复杂，在实际实施之前需要精确识别关键参数。本研究聚焦于在COMSOL Multiphysics环境中使用有限元建模优化T形光声谐振器。通过系统地改变T形细胞谐振器的几何设计参数，与先前设计的参考声学谐振器相比，实现了压力振幅最大增加12.76倍，品质因数（Q因子）为47.5。本研究通过识别影响谐振器性能的关键几何参数向前迈出了重要一步，为更灵敏、可靠的无创血糖监测系统铺平了道路。
