Electrical Engineering Department, Baylor University, One Bear Place #97356, Waco, TX 76798, USA.
Biomedical Engineering Program, Baylor University, One Bear Place #97356, Waco, TX 76798, USA.
Sensors (Basel). 2019 May 12;19(9):2193. doi: 10.3390/s19092193.
An optical cavity-based sensor using a differential detection method has been proposed for point-of-care diagnostics. We developed a low-cost and portable optical cavity-based sensor system using a 3D printer and off-the-shelf optical components. In this paper, we demonstrate the sensing capability of the portable system through refractive index measurements. Fabricated optical cavity samples were tested using the portable system and compared to simulation results. A referencing technique and digital low pass filtering were applied to reduce the noise of the portable system. The measurement results match the simulation results well and show the improved linearity and sensitivity by employing the differential detection method. The limit of detection achieved was 1.73 × 10 Refractive Index Unit (RIU), which is comparable to other methods for refractive index sensing.
基于光学腔的传感器采用差分检测方法,已被提议用于即时诊断。我们使用 3D 打印机和现成的光学元件开发了一种低成本、便携式的基于光学腔的传感器系统。在本文中,我们通过折射率测量展示了该便携式系统的传感能力。使用便携式系统对制造的光学腔样品进行了测试,并将测试结果与模拟结果进行了比较。参考技术和数字低通滤波被应用于降低便携式系统的噪声。测量结果与模拟结果吻合较好,并且通过采用差分检测方法,提高了线性度和灵敏度。所达到的检测限为 1.73×10 折射率单位(RIU),与其他折射率传感方法相当。