2026-10-14T15:09:33Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33652798 2026-09-12T03:05:55Z category_1 category_146 category_873 category_734 category_69 category_132 portal_63 item_type_2 month_year_09_2026

Ion-Selective GaN Optopairs with Rapid Response and High Stability for Intelligent Biomimetic Sensing Yueqi Xiang (24823378) Hongying Yang (131218) Xinyi Zhang (36040) Kemeng Zhou (16992120) Kwai Hei Li (5100029) Yuanjing Lin (3763300) Biophysics Space Science Chemical Sciences not elsewhere classified Biological Sciences not elsewhere classified Inorganic Chemistry Infectious Diseases wearable health monitoring time continuous monitoring sup >+</ sup stable optical readout loop obstacle avoidance enable highly sensitive concentration hazard zones although electrochemical biosensors minimized response time environmental media changes high signal recovery achieving rapid response mixed ion analysis selective gan optopairs rapid response selective membrane environmental perception high stability high sensitivity widely used robotic fish gallium nitride flexible platform biomimetic detection 5 μa 3 μa Ion concentration variation can indicate dynamic physiological metabolism and environmental media changes. Although electrochemical biosensors with high sensitivity and selectivity are widely used, achieving rapid response and minimal signal drift remains challenging. Herein, a gallium nitride (GaN) chip was functionalized with an ion-selective membrane to enable highly sensitive, fast, and stable optical readout. During real-time continuous monitoring, a minimized response time of 0.15 s with high signal recovery was achieved, and the drift was reduced to about 0.5 μA/h and 0.3 μA/h for Na⁺ and K⁺, respectively. To reduce the cross-interference in mixed ion analysis, a dual-channel ion decoding algorithm was implemented to improve the accuracy. The sensor was integrated into a flexible platform for real-time sweat electrolytes monitoring during exercise and further applied to a robotic fish for biomimetic detection of abnormal ion-concentration hazard zones and closed-loop obstacle avoidance, demonstrating its potential for wearable health monitoring and environmental perception. 2026-09-11T00:00:00Z Dataset Media 10.1021/acs.nanolett.6c03269.s002 https://figshare.com/articles/media/Ion-Selective_GaN_Optopairs_with_Rapid_Response_and_High_Stability_for_Intelligent_Biomimetic_Sensing/33652798 CC BY-NC 4.0