Related Experiment Video
Updated: Mar 12, 2026

06:09
Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
Published on: July 21, 2023
2.0K
A high accuracy cantilever array sensor for early liver cancer diagnosis
Jingjing Wang1,2,3, Lihao Wang1,3, Yinfang Zhu1,3
1Institute of Semiconductors, Chinese Academy of Sciences, Qinghua Donglu A 35, Beijing, 100083, People's Republic of China.
Biomedical Microdevices
|November 12, 2016
Summary
This study presents a novel microcantilever biosensor for early liver cancer detection. The sensor accurately identifies multiple biomarkers, including alpha-fetoprotein (AFP), enhancing diagnostic capabilities.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Oncology
Background:
- Early diagnosis of liver cancer is crucial for effective treatment.
- Multiplex biomarker detection offers a reliable approach for early cancer diagnosis.
Purpose of the Study:
- To develop a novel microcantilever array biosensor for sensitive and specific detection of multiple liver cancer biomarkers.
- To improve the accuracy, throughput, and reliability of early liver cancer diagnosis.
Main Methods:
- Batch fabrication of a microcantilever array biosensor.
- Design of a micro-cavity with pillar arrays for enhanced antigen-antibody reactions.
- Detection of alpha-fetoprotein (AFP), γ-glutamyltranspeptidase II (GGT-2), and hepatocyte growth factor (HGF).
Main Results:
- The biosensor demonstrated high sensitivity, accuracy, throughput, and specificity.
- A linear relationship was observed between relative frequency shift and antigen concentration for AFP, GGT-2, and HGF.
- Minimal cross-reactivity confirmed the sensor's high specificity.
Conclusions:
- The developed microcantilever biosensor shows significant potential for clinical application in early liver cancer diagnosis.
- The sensor's design features enhance detection capabilities and reduce interference.
- Multiplex detection of liver cancer biomarkers using this technology can improve patient outcomes.

