A High-Accuracy Solid/Liquid Composite Packaging Method for Implantable Pressure Sensors
Bo Wang, Yubiao Zhang, Yuning Huang, Zhonghua Li, Senran Jiang, Fuji Wang, Qiang Liu, Xing Yang

TL;DR
This paper introduces a new packaging method for implantable pressure sensors that improves accuracy and stability by using a combination of Parylene-C and silicone oil.
Contribution
The novel solid/liquid composite packaging technique effectively reduces mechanical coupling errors and enhances long-term stability in implantable sensors.
Findings
The sensor accuracy improved to 0.5 mmHg within clinical pressure ranges after using the composite packaging.
The sensor showed a drift of less than 2 mmHg over 30 days in simulated bodily fluids.
Abstract
This study addresses the critical packaging requirements of implantable pressure sensors concerning measurement accuracy and environmental stability. We propose a solid/liquid composite packaging technique based on Parylene-C and silicone oil. Utilizing liquid silicone oil as an intermediate medium, this method effectively decouples solid/solid interface shear forces, thereby mitigating measurement errors caused by mechanical coupling. Furthermore, the superior hydrophobic properties of silicone oil and its defect-filling capability are employed to slow the infiltration rate of water molecules at the interface, ensuring long-term stability. The influence of the solid/liquid composite layer on the mechanical properties of the sensor’s sensitive element was analyzed through finite element simulation. The experimental results demonstrate the efficacy of this approach: after adding a liquid…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Sensor and Energy Harvesting Materials · Neuroscience and Neural Engineering · Soft Robotics and Applications
