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Microneedle Sensors for Point‐of‐Care Diagnostics

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Advanced Science - 2024 - Hu - Microneedle Sensors for Point‐of‐Care Diagnostics.pdf

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sword-2024-05-20T20:36:30.original.xml (130 B)
Original SWORD entry document
Author(s)
Hu, Yubing
•
Chatzilakou, Eleni
•
Pan, Zhisheng
•
Traverso, Giovanni
•
Yetisen, Ali K.
Date Issued
January 15, 2024
Journal
Advanced Science
Publisher
Wiley
Citation
Y. Hu, E. Chatzilakou, Z. Pan, G. Traverso, A. K. Yetisen, Microneedle Sensors for Point-of-Care Diagnostics. Adv. Sci. 2024, 11, 2306560.
Version
Final published version
Abstract
Point‐of‐care (POC) has the capacity to support low‐cost, accurate and real‐time actionable diagnostic data. Microneedle sensors have received considerable attention as an emerging technique to evolve blood‐based diagnostics owing to their direct and painless access to a rich source of biomarkers from interstitial fluid. This review systematically summarizes the recent innovations in microneedle sensors with a particular focus on their utility in POC diagnostics and personalized medicine. The integration of various sensing techniques, mostly electrochemical and optical sensing, has been established in diverse architectures of “lab‐on‐a‐microneedle” platforms. Microneedle sensors with tailored geometries, mechanical flexibility, and biocompatibility are constructed with a variety of materials and fabrication methods. Microneedles categorized into four types: metals, inorganics, polymers, and hydrogels, have been elaborated with state‐of‐the‐art bioengineering strategies for minimally invasive, continuous, and multiplexed sensing. Microneedle sensors have been employed to detect a wide range of biomarkers from electrolytes, metabolites, polysaccharides, nucleic acids, proteins to drugs. Insightful perspectives are outlined from biofluid, microneedles, biosensors, POC devices, and theragnostic instruments, which depict a bright future of the upcoming personalized and intelligent health management.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Creative Commons Attribution
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/155008
DOI of Published Version
https://doi.org/10.1002/advs.202306560
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