이성환 교수님의 새 연구, ‘Leaf inspired homeostatic cellulose biosensors’가 IF 상위 10% 이내 (Multidisciplinary Sciences 분야 71개 저널 중 4위, IF = 13.12)인 Science Advances에 게재 허가 되었습니다.
Title: Leaf inspired homeostatic cellulose biosensors
Abstract:
An incompatibility between skin homeostasis and existing biosensor interfaces inhibit long-term electrophysiological signals measurement. Inspired by the leaf homeostasis system, we developed the first homeostatic cellulose biosensor with functions of protection, sensation, self-regulation, and biosafety. Moreover, we find that a mesoporous cellulose membrane transforms into homeostatic material with properties that include high ion conductivity, excellent flexibility and stability, appropriate adhesion force, and self-healing effects when swollen in a saline solution. The proposed biosensor is found to maintain a stable biological interface between skin and sensor through homeostasis even when challenged by various physical and chemical stresses, such as a dynamic environment, severe interface detachment, dense hair, sweat, and long-term measurement. Finally, we demonstrate the high usability of our homeostatic biosensor for continuous and stable measurement of electrophysiological signals and give a showcase application in the field of Brain Computer Interfacing where the biosensors and machine learning together help to control real-time applications beyond the lab at unprecedented versatility.