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Article

Physics-Informed Optimization for the Sub-Feature-Scale Fabrication of Hollow Microneedles via Digital Light Processing

1
Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
2
Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
3
State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Micromachines 2026, 17(6), 678; https://doi.org/10.3390/mi17060678 (registering DOI)
Submission received: 26 April 2026 / Revised: 22 May 2026 / Accepted: 26 May 2026 / Published: 29 May 2026

Abstract

To overcome low bioavailability and high trauma in inner ear therapies, targeted delivery across the round window membrane (RWM) via hollow microneedles (HMNs) offers a promising solution. However, the fabrication of high-aspect-ratio, small-size HMNs remains challenging. This study demonstrates the successful fabrication of small-outer-diameter HMNs using a 10 μm resolution digital light processing (DLP) system. Finite element analysis (FEA) identified a double tangent-arc transition as the optimal structural design for minimizing stress concentration. To manage the heightened parameter sensitivity at sub-feature-scale fabrication, a corrected curing index (CCI) model was established via a physics-informed regression approach incorporating polymerization kinetics and nonlinear spatial intensity distribution, achieving high fitting accuracy (R2 > 0.96). Under optimized parameters, the fabricated HMNs possessed mean dimensions of 805.13 μm in height, 37.54 μm in inner diameter, and 79.36 μm in outer diameter. Compressive tests exhibited a robust structural strength of up to 141 mN per needle following post-curing. Combined in silico and in vitro experiments demonstrated excellent penetration performance. Furthermore, the HMNs achieved stable, pressure-dependent delivery with volumetric flow rates rising from 0.14 mL∙min−1 to 0.39 mL∙min−1 as driving pressure escalated from 50 kPa to 300 kPa, validating their functional capacity for controlled drug administration.
Keywords: hollow microneedles; digital light processing; additive manufacturing; drug delivery hollow microneedles; digital light processing; additive manufacturing; drug delivery

Share and Cite

MDPI and ACS Style

Huang, J.; Xu, Z.; Wu, S.; Zhang, H.; Liu, G.; Liu, B. Physics-Informed Optimization for the Sub-Feature-Scale Fabrication of Hollow Microneedles via Digital Light Processing. Micromachines 2026, 17, 678. https://doi.org/10.3390/mi17060678

AMA Style

Huang J, Xu Z, Wu S, Zhang H, Liu G, Liu B. Physics-Informed Optimization for the Sub-Feature-Scale Fabrication of Hollow Microneedles via Digital Light Processing. Micromachines. 2026; 17(6):678. https://doi.org/10.3390/mi17060678

Chicago/Turabian Style

Huang, Junhong, Zhangzhe Xu, Shuo Wu, He Zhang, Guanzheng Liu, and Bin Liu. 2026. "Physics-Informed Optimization for the Sub-Feature-Scale Fabrication of Hollow Microneedles via Digital Light Processing" Micromachines 17, no. 6: 678. https://doi.org/10.3390/mi17060678

APA Style

Huang, J., Xu, Z., Wu, S., Zhang, H., Liu, G., & Liu, B. (2026). Physics-Informed Optimization for the Sub-Feature-Scale Fabrication of Hollow Microneedles via Digital Light Processing. Micromachines, 17(6), 678. https://doi.org/10.3390/mi17060678

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