Supporting Data for 3D Printed Skin-Interfaced UV-Visible Hybrid Photodetectors
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2020-02-28
2022-02-14
2022-02-14
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2022-02-14
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Supporting Data for 3D Printed Skin-Interfaced UV-Visible Hybrid Photodetectors
Published Date
2022-02-16
Author Contact
McAlpine, Michael C
mcalpine@umn.edu
mcalpine@umn.edu
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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.
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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
https://doi.org/10.1002/advs.202201275
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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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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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