3D-Printed Microneedles for Point-of-Care Biosensing Applications

Misagh Rezapour Sarabi; Sattar Akbari Nakhjavani; Savas Tasoglu

doi:10.3390/mi13071099

3D-Printed Microneedles for Point-of-Care Biosensing Applications

Micromachines (Basel). 2022 Jul 13;13(7):1099. doi: 10.3390/mi13071099.

Authors

Misagh Rezapour Sarabi¹, Sattar Akbari Nakhjavani^{1

2}, Savas Tasoglu^{1

2

3

4

5

6}

Affiliations

¹ Mechanical Engineering Department, School of Engineering, Koç University, Istanbul 34450, Turkey.
² Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey.
³ Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.
⁴ Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Istanbul 34450, Turkey.
⁵ Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Istanbul 34684, Turkey.
⁶ Koç University İş Bank Artificial Intelligence Lab (KUIS AI Lab), Koç University, Sariyer, Istanbul 34450, Turkey.

Abstract

Microneedles (MNs) are an emerging technology for user-friendly and minimally invasive injection, offering less pain and lower tissue damage in comparison to conventional needles. With their ability to extract body fluids, MNs are among the convenient candidates for developing biosensing setups, where target molecules/biomarkers are detected by the biosensor using the sample collected with the MNs. Herein, we discuss the 3D printing of microneedle arrays (MNAs) toward enabling point-of-care (POC) biosensing applications.

Keywords: 3D printing; biosensing; microneedles; point-of-care.

Grants and funding

ST acknowledges Tubitak 2232 International Fellowship for Outstanding Researchers Award (118C391), Alexander von Humboldt Research Fellowship for Experienced Researchers, Marie Skłodowska-Curie Individual Fellowship (101003361), and Royal Academy Newton-Katip Çelebi Transforming Systems Through Partnership award for financial support of this research. Opinions, interpretations, conclusions, and recommendations are those of the author and are not necessarily endorsed by the TÜBİTAK. This work was partially supported by Science Academy’s Young Scientist Awards Program (BAGEP), Outstanding Young Scientists Awards (GEBİP), and Bilim Kahramanlari Dernegi The Young Scientist Award. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. Some elements in Figure 1 were designed using resources flaticon.com.