材料科学
压电
弹性模量
生物医学工程
模数
杨氏模量
体内
压电传感器
体外
超声波传感器
光电子学
边界(拓扑)
分辨率(逻辑)
复合材料
蚀刻(微加工)
干扰(通信)
材料性能
离体
纳米技术
表征(材料科学)
肝细胞癌
超声波
机械转化
弹性(物理)
图像分辨率
声学
钨
作者
Xiaojun Zhang,Zhaoyang Chu,Xinyu Li,Zheng Yuanwen,Huimin Li,Wenteng Tang,Jun Chen,Ruoyu Meng,Chonghai Xu,Li Wang
出处
期刊:Small
[Wiley]
日期:2026-08-27
卷期号:: e75511-e75511
摘要
Accurate identification of tumor boundaries is crucial for effective local treatment and protection of surrounding healthy tissue. However, current methods for rapidly characterizing local tissue biomechanical properties remain limited. In this study, we present a novel MEMS-integrated piezoelectric sensor-based medical microtool (IPS-MMT), this device can map the elastic modulus of local tissues in real time and at the sub-millimeter scale, enabling rapid and localized measurements under controlled in vitro conditions. Our device features the integration of a 100 µm‑thick piezoelectric sensor onto a 300 µm‑diameter tungsten tip fabricated via a scalable electrochemical etching platform. This configuration transduces minute tissue deformations into quantifiable electrical signals with a spatial resolution of ∼15 µm and a response time under 10 ms. In ex vivo studies on rat organs and human hepatocellular carcinoma specimens, the IPS-MMT resolved distinct tissue-stiffness differences among normal, peritumoral, and cancerous regions. Independent rheological measurements on six rat organ tissues showed a mean relative agreement of 91.83% with the IPS-MMT measurements, supporting tissue elastic modulus as a promising biomechanical biomarker for tissue differentiation and highlighting the potential of biomechanics-guided precision ablation.
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