Supporting Data for 3D Printed Skin-Interfaced UV-Visible Hybrid Photodetectors

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2020-02-28
2022-02-14

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2022-02-14

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Title

Supporting Data for 3D Printed Skin-Interfaced UV-Visible Hybrid Photodetectors

Published Date

2022-02-16

Author Contact

McAlpine, Michael C
mcalpine@umn.edu

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Dataset
Experimental Data

Abstract

Photodetectors that are intimately interfaced with human skin and measure real-time optical irradiance are appealing in the medical profiling of photosensitive diseases. Developing compliant devices for this purpose requires the fabrication of photodetectors with ultraviolet (UV)-enhanced broadband photoresponse and high mechanical flexibility, to ensure precise irradiance measurements across the spectral band critical to dermatological health when directly applied onto curved skin surfaces. Here, we report a fully 3D printed flexible UV-visible photodetector array that incorporates a hybrid organic-inorganic material system and is integrated with a custom-built portable console to continuously monitor broadband irradiance in-situ. The active materials are formulated by doping polymeric photoactive materials with zinc oxide nanoparticles in order to improve the UV photoresponse and trigger a photomultiplication effect. We demonstrate the ability of our stand-alone skin-interfaced light intensity monitoring system to detect natural irradiance within the wavelength range of 310 nm to 650 nm for nearly 24 hours.

Description

This data set includes the supporting data for the article, 3D Printed Skin-Interfaced UV-Visible Hybrid Photodetectors. Images may be viewed with Origin Viewer (https://www.originlab.com/viewer), an open software for viewing the OPJU files.

Referenced by

Ouyang, X., Su, R., Ng, D. W. H., Han, G., Pearson, D. R., & McAlpine, M. C. (2022). 3D Printed Skin‐Interfaced UV‐Visible Hybrid Photodetectors. Advanced Science, 9(25), e2201275-n/a.
https://doi.org/10.1002/advs.202201275

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Funding information

National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health, Award number: 4DP2EB020537; Grant-in-Aid of Research, Artistry and Scholarship grant offered through the Office of the Vice President for Research, University of Minnesota; National Science Foundation through the National Nano Coordinated Infrastructure Network, Award Number: ECCS-2025124.

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Suggested citation

Ouyang, Xia; Su, Ruitao; Ng, Daniel Wai Hou; Han, Guebum; Pearson, David R; McAlpine, Michael C. (2022). Supporting Data for 3D Printed Skin-Interfaced UV-Visible Hybrid Photodetectors. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/10b2-mp37.

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