Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161538
Title: Colorimetric microneedle patches for multiplexed transdermal detection of metabolites
Authors: Zhu, Dan Dan
Zheng, Lewen
Duong, Phan Khanh
Cheah, Reanne Hui
Liu, Xin Yi
Wong, Jun Ren
Wang, Wen Jun
Guan, Steven Thng Tien
Zheng, Xin Ting
Chen, Peng
Keywords: Science::Medicine
Issue Date: 2022
Source: Zhu, D. D., Zheng, L., Duong, P. K., Cheah, R. H., Liu, X. Y., Wong, J. R., Wang, W. J., Guan, S. T. T., Zheng, X. T. & Chen, P. (2022). Colorimetric microneedle patches for multiplexed transdermal detection of metabolites. Biosensors and Bioelectronics, 212, 114412-. https://dx.doi.org/10.1016/j.bios.2022.114412
Project: RG110/20 
RT02/20 
MOE2019-T2-2-004 
021250-00001 
SC25/21-815116 
Journal: Biosensors and Bioelectronics 
Abstract: Skin Interstitial Fluid (ISF) is an alternative source for biomarkers. Herein, a highly swellable microneedle patch (MNP) to rapidly extract ISF painlessly and bloodlessly is presented. The MNP is made of crosslinked methacrylated hyaluronic acid (MeHA) and dissolvable hyaluronic acid (HA) with the optimal balance of mechanical strength (0.6 N/MN) and absorption capability (16.22 μL in 20 min). Incorporated with wax-patterned and sensing-reagent-decorated test paper (TP) for multiplexed colorimetric detection of metabolites (glucose, lactate, cholesterol, and pH), this TP-MNP biosensor gives rapid color change in biomarker concentration-dependent manner based on specific enzymatic reactions, whereby allowing diagnosis by the naked eye or quantitative RGB analysis. Both the in vitro and in vivo experiments demonstrate the feasibility of TP-MNPs to detect multiple biomarkers in skin interstitial fluid within minutes. Such convenient and self-administrable profiling of metabolites shall be instrumental for home-based long-term monitoring and management of metabolic diseases.
URI: https://hdl.handle.net/10356/161538
ISSN: 0956-5663
DOI: 10.1016/j.bios.2022.114412
Schools: School of Chemical and Biomedical Engineering 
Lee Kong Chian School of Medicine (LKCMedicine) 
Research Centres: Institute for Digital Molecular Analytics and Science, NTU
Rights: © 2022 Elsevier B.V. All rights reserved.
Fulltext Permission: embargo_20240922
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles
SCBE Journal Articles

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