Related Experiment Video
Updated: Oct 6, 2025

12:19
ReAsH/FlAsH Labeling and Image Analysis of Tetracysteine Sensor Proteins in Cells
Published on: August 31, 2011
17.5K
Self-assembled peptides-modified flexible field-effect transistors for tyrosinase detection
Huihui Ren1,2, Tengyan Xu3, Kun Liang1,2
1Zhejiang University, Hangzhou 310027, China.
Iscience
|January 13, 2022
Summary
Researchers developed flexible biosensors using a novel tetrapeptide for highly sensitive melanoma detection. This breakthrough offers a promising avenue for real-time, non-invasive cancer biomarker monitoring and wearable screening applications.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Cancer Diagnostics
Background:
- Flexible biosensors are crucial for real-time, non-invasive monitoring of cancer biomarkers.
- Highly sensitive tyrosinase biosensors for melanoma screening present a significant challenge.
Purpose of the Study:
- To develop high-performance tyrosinase-sensing field-effect transistor-based biosensors (bio-FETs).
- To achieve ultra-low detection limits for tyrosinase, a key biomarker for melanoma.
- To create flexible and wearable biosensing devices for conformal skin attachment.
Main Methods:
- Self-assembly of nanostructured tetrapeptide tryptophan-valine-phenylalanine-tyrosine (WVFY) on n-type metal oxide transistors.
- Potentiometric detection of proton consumption during tyrosinase enzymatic reaction.
- Fabrication of flexible devices on thin polyimide (PI) substrates.
Main Results:
- WVFY-modified bio-FETs achieved an ultra-low detection limit of 1.9 fM for tyrosinase.
- Optimal detection range for tyrosinase was found to be 10 fM to 1 nM.
- Flexible devices demonstrated robust mechanical flexibility for conformal skin attachment.
Conclusions:
- The developed bio-FETs offer a highly sensitive platform for tyrosinase detection, crucial for melanoma screening.
- The flexible and wearable nature of the devices holds promise for non-invasive, real-time cancer monitoring.
- This work provides a design framework for developing bio-FETs to detect other cancer biomarkers.

