# Novel 3D printed microneedle patches for detection of viral infections

> **NIH NIH R21** · UNIV OF NORTH CAROLINA CHAPEL HILL · 2020 · $233,250

## Abstract

Early diagnosis is important for effective disease management. Zika and other flaviviruses cause severe human
disease worldwide. Diagnosis and surveillance of the infections are commonly performed by serological assays
involving invasive blood sampling techniques, which can cause adverse effects for patients. Skin interstitial fluid
(ISF) shares 85% of the proteins in blood, and development of novel, more efficient and less-invasive
technologies, for the collection of ISF can significantly facilitate point-of-care diagnosis of viral infections.
Microneedle (MN) patches are devices comprised of microprojection arrays that penetrate the outer skin layers
to interface directly with intradermal fluid. MNs have been explored for easy, pain-free administration of
therapeutic agents, and can be designed to sample ISF from skin in a simple, minimally invasive manner. A
novel 3D manufacturing platform termed CLIP (Continuous Liquid Interface Production), affords unparalleled
speed and ease of fabricating MNs, which enables unprecedented precision in size, shape, and density of MNs.
Utilizing this platform, we have manufactured MNs measuring 250 µm to above 1000 µm, comprised of
biomedical materials prevalent in FDA approved medical devices. We hypothesize that CLIP 3D printed
polymeric MN patches can be used for rapid, painless, and self-applicable collection of ISF for diagnostic purpose.
Our objectives are to design and optimize CLIP 3D printed MN patches for rapid and efficient collection of skin
ISF (Aim 1), and establish methods for rapid in situ retrieval and assessment of multiple Zika antigens and
antibodies using a single MN patch (Aim 2). Completion of this project will establish a new approach to enable
quick and self-applicable local skin sampling point-of-care suitable device for the detection of not only viral
infections, but also other disease markers. The proposed technology will also provide a practical method for
broader population-level surveillance and epidemiological study of Zika infection.

## Key facts

- **NIH application ID:** 9954740
- **Project number:** 1R21EB029682-01
- **Recipient organization:** UNIV OF NORTH CAROLINA CHAPEL HILL
- **Principal Investigator:** Premkumar Lakshmanane
- **Activity code:** R21 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $233,250
- **Award type:** 1
- **Project period:** 2020-05-01 → 2022-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9954740

## Citation

> US National Institutes of Health, RePORTER application 9954740, Novel 3D printed microneedle patches for detection of viral infections (1R21EB029682-01). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9954740. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*