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Leaf-inspired homeostatic cellulose biosensors

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 bios...

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Detalles Bibliográficos
Autores principales: Kim, Ji-Yong, Yun, Yong Ju, Jeong, Joshua, Kim, C.-Yoon, Müller, Klaus-Robert, Lee, Seong-Whan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051876/
https://www.ncbi.nlm.nih.gov/pubmed/33863725
http://dx.doi.org/10.1126/sciadv.abe7432
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author Kim, Ji-Yong
Yun, Yong Ju
Jeong, Joshua
Kim, C.-Yoon
Müller, Klaus-Robert
Lee, Seong-Whan
author_facet Kim, Ji-Yong
Yun, Yong Ju
Jeong, Joshua
Kim, C.-Yoon
Müller, Klaus-Robert
Lee, Seong-Whan
author_sort Kim, Ji-Yong
collection PubMed
description 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.
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spelling pubmed-80518762021-04-26 Leaf-inspired homeostatic cellulose biosensors Kim, Ji-Yong Yun, Yong Ju Jeong, Joshua Kim, C.-Yoon Müller, Klaus-Robert Lee, Seong-Whan Sci Adv Research Articles 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. American Association for the Advancement of Science 2021-04-16 /pmc/articles/PMC8051876/ /pubmed/33863725 http://dx.doi.org/10.1126/sciadv.abe7432 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Kim, Ji-Yong
Yun, Yong Ju
Jeong, Joshua
Kim, C.-Yoon
Müller, Klaus-Robert
Lee, Seong-Whan
Leaf-inspired homeostatic cellulose biosensors
title Leaf-inspired homeostatic cellulose biosensors
title_full Leaf-inspired homeostatic cellulose biosensors
title_fullStr Leaf-inspired homeostatic cellulose biosensors
title_full_unstemmed Leaf-inspired homeostatic cellulose biosensors
title_short Leaf-inspired homeostatic cellulose biosensors
title_sort leaf-inspired homeostatic cellulose biosensors
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051876/
https://www.ncbi.nlm.nih.gov/pubmed/33863725
http://dx.doi.org/10.1126/sciadv.abe7432
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