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3D Mesoporous Electrodes Integrated with Soft Surgical Robotics for Putative Minimally Invasive Intraoperative Tumor
Yulin Qiu1,2, Aditya Ashok3, Chi Cong Nguyen1,2
1School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, New South Wales 2052, Australia.
ACS Applied Materials & Interfaces
|August 15, 2025
Summary
Researchers developed novel 3D mesoporous gold sensors for flexible endoscopes. These advanced sensors improve early cancer detection by measuring tissue electrical impedance, enhancing minimally invasive surgeries.
Area of Science:
- Biomedical Engineering
- Materials Science
- Robotics
Background:
- Flexible endoscopes with multimodal sensors offer advanced minimally invasive surgery (MIS) capabilities.
- Existing tactile sensors detect mechanical differences in malignancy late-stage.
- Sensing electrical properties like bioelectrical impedance offers better tissue abnormality detection.
Purpose of the Study:
- To develop and evaluate 3D conformal mesoporous gold (mAu) sensors for enhanced impedance sensing in MIS.
- To address challenges in integrating impedance sensors with soft medical robots.
- To improve early detection of tissue malignancy using electrical properties.
Main Methods:
- Fabrication of 3D conformal electronic devices using mesoporous gold (mAu) sensors.
- Integration of top-down lithography, bottom-up electrochemical deposition, and liquid-assisted transfer printing.
- In vitro human tissue studies to assess sensor performance.
Main Results:
- The mAu electrode platform showed 2.5 times higher impedance sensitivity compared to flat gold.
- The 3D configuration enabled multi-sided tissue impedance measurements for improved navigation.
- Sensors successfully distinguished cancerous from healthy tissues in in vitro studies.
Conclusions:
- 3D conformal mesoporous electronics show significant potential for advanced soft robot-assisted MIS.
- The developed sensors enhance in situ diagnosis in hard-to-reach areas.
- This technology could revolutionize early cancer detection and monitoring during surgery.

