Department of Neuro-Psychiatric Institute, the Affiliated Brain Hospital with Nanjing Medical University, Nanjing 210029, China.
School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.
ACS Sens. 2023 Jul 28;8(7):2691-2701. doi: 10.1021/acssensors.3c00542. Epub 2023 Jun 1.
Contact lens sensors provide a noninvasive approach for intraocular pressure (IOP) monitoring in patients with glaucoma. Accurate measurement of this imperceptible pressure variation requires highly sensitive sensors in the absence of simultaneously amplifying IOP signal and blinking-induced noise. However, current noise-reduction methods rely on external filter circuits, which thicken contact lenses and reduce signal quality. Here, we introduce a contact lens strain sensor with an anti-jamming ability by utilizing a self-lubricating layer to reduce the coefficient of friction (COF) to remove the interference from the tangential force. The sensor achieves exceptionally high sensitivity due to the strain concentration layout and the confined occurrence of sympatric microcracks. The animal tests prove our lens can accurately detect IOP safely and reliably.
隐形眼镜传感器为青光眼患者的眼内压 (IOP) 监测提供了一种非侵入性的方法。要准确测量这种难以察觉的压力变化,需要在不同时放大 IOP 信号和眨眼引起的噪声的情况下,使用高灵敏度的传感器。然而,目前的降噪方法依赖于外部滤波电路,这会使隐形眼镜变厚,降低信号质量。在这里,我们引入了一种具有抗干扰能力的隐形眼镜应变传感器,它利用自润滑层来降低摩擦系数 (COF),以消除切向力的干扰。由于应变集中布局和共栖微裂纹的受限发生,传感器具有异常高的灵敏度。动物试验证明,我们的镜片可以安全、可靠地准确检测眼压。