TY - JOUR
T1 - Leaf-inspired homeostatic cellulose biosensors
AU - Kim, Ji Yong
AU - Yun, Yong Ju
AU - Jeong, Joshua
AU - Yoon Kim, C.
AU - Möller, Klaus Robert
AU - Lee, Seong Whan
N1 - Publisher Copyright:
© 2021 American Association for the Advancement of Science. All rights reserved.
PY - 2021/4/14
Y1 - 2021/4/14
N2 - An incompatibility between skin homeostasis and existing biosensor interfaces inhibits long-Term electrophysiological signal 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 skin-sensor interface through homeostasis even when challenged by various stresses, such as a dynamic environment, severe detachment, dense hair, sweat, and long-Term measurement. Last, 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 laboratory at unprecedented versatility.
AB - An incompatibility between skin homeostasis and existing biosensor interfaces inhibits long-Term electrophysiological signal 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 skin-sensor interface through homeostasis even when challenged by various stresses, such as a dynamic environment, severe detachment, dense hair, sweat, and long-Term measurement. Last, 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 laboratory at unprecedented versatility.
UR - http://www.scopus.com/inward/record.url?scp=85104381185&partnerID=8YFLogxK
U2 - 10.1126/sciadv.abe7432
DO - 10.1126/sciadv.abe7432
M3 - Article
C2 - 33863725
AN - SCOPUS:85104381185
SN - 2375-2548
VL - 7
JO - Science advances
JF - Science advances
IS - 16
M1 - eabe7432
ER -