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Publikationstyp: Beitrag in wissenschaftlicher Zeitschrift
Art der Begutachtung: Peer review (Publikation)
Titel: Integrated device based on a sudomotor nanomaterial for sweat detection
Autor/-in: Gong, Liuyu
Bonmarin, Mathias
Spano, Fabrizio
Shen, Ya
Shen, Lin
Han, Guocheng
Wei, Shanshan
Zhang, Qihan
Chen, Zhencheng
Zhao, Feijun
et. al: No
DOI: 10.1021/acsami.3c03401
10.21256/zhaw-28105
Erschienen in: ACS Applied Materials & Interfaces
Band(Heft): 15
Heft: 25
Seite(n): 29866
Seiten bis: 29875
Erscheinungsdatum: 15-Jun-2023
Verlag / Hrsg. Institution: American Chemical Society
ISSN: 1944-8244
1944-8252
Sprache: Englisch
Schlagwörter: Electrochemical detection; Noninvasive detection; Sweat detection; Sweat stimulation; Transdermal drug delivery system
Fachgebiet (DDC): 610.28: Biomedizin, Biomedizinische Technik
660: Technische Chemie
Zusammenfassung: The compositions of sweat and blood are related. Therefore, sweat is an ideal noninvasive test body fluid that could replace blood for linear detection of many biomarkers, especially blood glucose. However, access to sweat samples remains limited to physical exercise, thermal stimulation, or electrical stimulation. Despite intensive research, a continuous, innocuous, and stable method for sweat stimulation and detection has not yet been developed. In this study, a nanomaterial for a sweat-stimulating gel based on the transdermal drug delivery system is presented, which transports acetylcholine chloride into the receptors of sweat glands to achieve the function of biological stimulation of skin sweating. The nanomaterial was applied to a suitable integrated sweat glucose detection device for noninvasive blood glucose monitoring. The total amount of evaporated sweat enabled by the nanomaterial is up to 35 μL·cm-2 for 24 h, and the device detects up to 17.65 μM glucose under optimal conditions, showing stable performance regardless of the user's activity level. In addition, the in vivo test was performed and compared with several studies and products, which showed excellent detection performance and osmotic relationship. The nanomaterial and associated integrated device represent a significant advance in continuous passive sweat stimulation and noninvasive sweat glucose measurement for point-of-care applications.
URI: https://digitalcollection.zhaw.ch/handle/11475/28105
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Gesperrt bis: 2024-06-15
Departement: School of Engineering
Organisationseinheit: Institute of Computational Physics (ICP)
Enthalten in den Sammlungen:Publikationen School of Engineering

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Gong, L., Bonmarin, M., Spano, F., Shen, Y., Shen, L., Han, G., Wei, S., Zhang, Q., Chen, Z., & Zhao, F. (2023). Integrated device based on a sudomotor nanomaterial for sweat detection. ACS Applied Materials & Interfaces, 15(25), 29866–29875. https://doi.org/10.1021/acsami.3c03401
Gong, L. et al. (2023) ‘Integrated device based on a sudomotor nanomaterial for sweat detection’, ACS Applied Materials & Interfaces, 15(25), pp. 29866–29875. Available at: https://doi.org/10.1021/acsami.3c03401.
L. Gong et al., “Integrated device based on a sudomotor nanomaterial for sweat detection,” ACS Applied Materials & Interfaces, vol. 15, no. 25, pp. 29866–29875, Jun. 2023, doi: 10.1021/acsami.3c03401.
GONG, Liuyu, Mathias BONMARIN, Fabrizio SPANO, Ya SHEN, Lin SHEN, Guocheng HAN, Shanshan WEI, Qihan ZHANG, Zhencheng CHEN und Feijun ZHAO, 2023. Integrated device based on a sudomotor nanomaterial for sweat detection. ACS Applied Materials & Interfaces. 15 Juni 2023. Bd. 15, Nr. 25, S. 29866–29875. DOI 10.1021/acsami.3c03401
Gong, Liuyu, Mathias Bonmarin, Fabrizio Spano, Ya Shen, Lin Shen, Guocheng Han, Shanshan Wei, Qihan Zhang, Zhencheng Chen, and Feijun Zhao. 2023. “Integrated Device Based on a Sudomotor Nanomaterial for Sweat Detection.” ACS Applied Materials & Interfaces 15 (25): 29866–75. https://doi.org/10.1021/acsami.3c03401.
Gong, Liuyu, et al. “Integrated Device Based on a Sudomotor Nanomaterial for Sweat Detection.” ACS Applied Materials & Interfaces, vol. 15, no. 25, June 2023, pp. 29866–75, https://doi.org/10.1021/acsami.3c03401.


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