A Route to the Colorimetric Detection of Alpha-Fetoprotein Based on a Smartphone
Alpha-fetoprotein (AFP) is a key marker for early cancer detection and assessment. However, the current detection methods struggle to balance accuracy with the need for decentralized medical treatment. To address this issue, a new AFP analysis platform utilizing digital image colorimetry has been developed. Functionalized gold nanoparticles act as colorimetric agents, changing from purple-red to light gray-blue when exposed to different AFP concentrations. A smartphone app captures these color changes and calculates the AFP concentration in the sample. To improve detection accuracy, a hardware device ensures uniform illumination. Testing has confirmed that this system can quantitatively analyze AFP using colorimetry. The limit of detection reached 0.083 ng/mL, and the average accuracy reached 90.81%. This innovative method enhances AFP testing by offering portability, precision, and low cost, making it particularly suitable for resource-limited areas.
Authors
- Junjie Liu (ORCID: https://orcid.org/0000-0001-7060-6663)
- Zhaoxin Geng (ORCID: https://orcid.org/0000-0003-0917-0391)
- Qingfubo Geng
Institutions
- Minzu University of China (CN)
Publication Details
- Journal
- Micromachines
- Published
- 2024-08-31
- DOI
- https://doi.org/10.3390/mi15091116
- Citations
- 9
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 1.66
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- Minzu University of China