The Influence of Mask Modification on Microneedle Strength in Deep X-Ray Lithography

Hollow microneedle arrays of different shapes were prepared for blood collection and precise drug delivery. This microneedle array was investigated using shape modification and hole position optimization, and different approaches to increase the strength of the microneedles and hole alignment were analyzed. Firstly, solid-tip microneedles were prepared using deep X-ray lithography, and an approach to increase the strength of microneedles by modifying the shape of the photomask was examined. Secondly, photomasks with holes in different positions were designed, and the exposure was aligned at different hole positions. Finally, the maximum stress and minimum displacement were analyzed using ANSYS 10.0 simulation software, while the proof-of-strength properties were accomplished by inserting microneedles into a polyimide film. The experimental results show that the modification of the shape of the photomask can increase the strength of the microneedles and compensate for the shortcomings generated by the moving exposure. Placing the holes away from the center of the tip can increase the flow rate of the microneedles. A horizontal offset of 30 μm and a vertical offset of 50 μm from the center of the microneedle tip were determined to be the best positions for aligning the holes. This meets the requirements for microneedle strength and sharpness.

Authors

Institutions

Publication Details

Journal
Micromachines
Published
2026-01-22
DOI
https://doi.org/10.3390/mi17010136
Primary Topic
Advancements in Transdermal Drug Delivery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Influence of Mask Modification on Microneedle Strength in Deep X-Ray Lithography

Yigui Li, Lin Du, Jie Wang
Micromachines
Advancements in Transdermal Drug Delivery
article

The Influence of Mask Modification on Microneedle Strength in Deep X-Ray Lithography

Yigui Li, Lin Du, Jie Wang
article en

Abstract

Hollow microneedle arrays of different shapes were prepared for blood collection and precise drug delivery. This microneedle array was investigated using shape modification and hole position optimization, and different approaches to increase the strength of the microneedles and hole alignment were analyzed. Firstly, solid-tip microneedles were prepared using deep X-ray lithography, and an approach to increase the strength of microneedles by modifying the shape of the photomask was examined. Secondly, photomasks with holes in different positions were designed, and the exposure was aligned at different hole positions. Finally, the maximum stress and minimum displacement were analyzed using ANSYS 10.0 simulation software, while the proof-of-strength properties were accomplished by inserting microneedles into a polyimide film. The experimental results show that the modification of the shape of the photomask can increase the strength of the microneedles and compensate for the shortcomings generated by the moving exposure. Placing the holes away from the center of the tip can increase the flow rate of the microneedles. A horizontal offset of 30 μm and a vertical offset of 50 μm from the center of the microneedle tip were determined to be the best positions for aligning the holes. This meets the requirements for microneedle strength and sharpness.

MicromachinesVol. 17(1)
University of Shanghai for Science and Technology (CN), Suzhou Vocational Institute of Industrial Technology (CN), Shanghai Institute of Technology (CN)
Openalex Percentile: Top 79%
Advancements in Transdermal Drug Delivery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.