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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Route to the Colorimetric Detection of Alpha-Fetoprotein Based on a Smartphone

Junjie Liu, Zhaoxin Geng, Qingfubo Geng
9 citations
Micromachines
Biosensors and Analytical Detection
1.66
article

A Route to the Colorimetric Detection of Alpha-Fetoprotein Based on a Smartphone

Junjie Liu, Zhaoxin Geng, Qingfubo Geng
article en
9 citations

Abstract

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.

MicromachinesVol. 15(9)
Minzu University of China (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, Minzu University of China
Openalex Percentile: Top 17%
Biosensors and Analytical Detection
1.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.