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Updated: Feb 10, 2026

Quantitative Hardness Measurement by Instrumented AFM-indentation
Published on: November 22, 2016
A High-Q AFM Sensor Using a Balanced Trolling Quartz Tuning Fork in the Liquid
Yingxu Zhang1,2, Yingzi Li3,4, Zihang Song5,6
1School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China. hopeyxzhang@buaa.edu.cn.
A novel balanced trolling quartz tuning fork (BT-QTF) method enables stable atomic force microscope imaging in liquids. This technique minimizes hydrodynamic interactions, preserving the sensor's high quality factor and sensitivity for biological and electrochemical applications.
Area of Science:
- Materials Science
- Nanotechnology
- Physical Chemistry
Background:
- Quartz tuning forks (QTFs) are excellent force sensors for atomic force microscopy (AFM) due to their stiffness and self-sensing capabilities.
- However, their application in liquids is limited by bulky structures and exposed electrodes, which degrade performance.
Purpose of the Study:
- To introduce a novel balanced trolling quartz tuning fork (BT-QTF) method to overcome the limitations of traditional QTFs in liquid environments.
- To enable stable and sensitive AFM imaging of biological samples, ionic liquids, and electrochemical reactions in situ.
Main Methods:
- Developed a BT-QTF by attaching identical probes to both prongs of a QTF, with only one probe immersed in the liquid.
- Presented a theoretical model to analyze the sensing performance of the BT-QTF in liquid.
- Conducted experimental analysis of the BT-QTF's sensing performance.
Main Results:
- The BT-QTF method significantly reduces hydrodynamic interactions in liquids.
- Maintained a high quality factor and constant resonance frequency, enabling stable small vibrations.
- Successfully applied the BT-QTF for AFM imaging of various samples in liquid environments.
Conclusions:
- The BT-QTF is a feasible and effective method for high-performance AFM imaging in liquids.
- This technique overcomes previous limitations, expanding the scope of QTF applications in sensitive environments.
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