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Engineering Microneedles for Therapy and Diagnosis: A Survey

by Liping Xie 1,*,†, Hedele Zeng 1,†, Jianjun Sun 2,* and Wei Qian 3
1
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China
2
Border Biomedical Research Center, University of Texas at El Paso, El Paso, TX 79968, USA
3
Department of Electrical and Computer Engineering, University of Texas, EI Paso, TX 79968, USA
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Micromachines 2020, 11(3), 271; https://doi.org/10.3390/mi11030271
Received: 17 January 2020 / Revised: 26 February 2020 / Accepted: 28 February 2020 / Published: 5 March 2020
(This article belongs to the Special Issue Point-of-Care Devices)
Microneedle (MN) technology is a rising star in the point-of-care (POC) field, which has gained increasing attention from scientists and clinics. MN-based POC devices show great potential for detecting various analytes of clinical interests and transdermal drug delivery in a minimally invasive manner owing to MNs’ micro-size sharp tips and ease of use. This review aims to go through the recent achievements in MN-based devices by investigating the selection of materials, fabrication techniques, classification, and application, respectively. We further highlight critical aspects of MN platforms for transdermal biofluids extraction, diagnosis, and drug delivery assisted disease therapy. Moreover, multifunctional MNs for stimulus-responsive drug delivery systems were discussed, which show incredible potential for accurate and efficient disease treatment in dynamic environments for a long period of time. In addition, we also discuss the remaining challenges and emerging trend of MN-based POC devices from the bench to the bedside. View Full-Text
Keywords: microneedle; diagnosis; point of care; drug delivery microneedle; diagnosis; point of care; drug delivery
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Xie, L.; Zeng, H.; Sun, J.; Qian, W. Engineering Microneedles for Therapy and Diagnosis: A Survey. Micromachines 2020, 11, 271.

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