Electrochemical detection of alpha-fetoprotein using graphene-assisted sensors: A novel approach for liver cancer screening

This study presents a novel electrochemical immunosensor for the detection of alpha-fetoprotein (AFP) based on a toluidine blue-gold-Fe 3 O 4 -reduced graphene oxide (TB-Au-Fe 3 O 4 -rGO) nanocomposite. The multifunctionalized graphene platform was synthesized and characterized using SEM, TEM, XRD, and FTIR spectroscopy. Electrochemical characterization revealed enhanced electron transfer kinetics, with the TB-Au-Fe 3 O 4 -rGO electrode exhibiting the lowest charge transfer resistance of 43 Ω. Optimization of antibody immobilization and assay conditions resulted in a sensitive and selective immunosensor. The sensor showed a direct correlation with AFP levels ranging from 0.1 to 500 ng/mL, and was able to detect concentrations as low as 0.03 ng/mL. Selectivity studies showed minimal interference from common serum proteins, even at 100-fold higher concentrations. The immunosensor showed consistent results with a relative standard deviation of 3.8 % from 5 replicates, and retained more than 95 % of its original signal after being stored at 4°C for 30 days. Analysis of clinical serum samples showed excellent agreement with ELISA results (R 2 = 0.998) and recovery rates between 96.5 % and 103.8 % for spiked samples. The rapid response time of 35 seconds and simple operation make this platform promising for point-of-care liver cancer screening. This work demonstrates the potential of multifunctionalized graphene nanocomposites for enhancing the performance of electrochemical immunosensors in clinical diagnostics.

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Publication Details

Journal
Alexandria Engineering Journal
Published
2025-03-29
DOI
https://doi.org/10.1016/j.aej.2025.03.052
Citations
9
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
7.25

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article

Electrochemical detection of alpha-fetoprotein using graphene-assisted sensors: A novel approach for liver cancer screening

Ming Xu, Guangcheng Yang, Xuejian Wang, Zhen Zhang et al.
9 citations
Alexandria Engineering Journal
Advanced biosensing and bioanalysis techniques
7.25
article

Electrochemical detection of alpha-fetoprotein using graphene-assisted sensors: A novel approach for liver cancer screening

Ming Xu, Guangcheng Yang, Xuejian Wang, Zhen Zhang, Jingjing Du, Chaoyu Cui, Q Guan
article en
9 citations

Abstract

This study presents a novel electrochemical immunosensor for the detection of alpha-fetoprotein (AFP) based on a toluidine blue-gold-Fe 3 O 4 -reduced graphene oxide (TB-Au-Fe 3 O 4 -rGO) nanocomposite. The multifunctionalized graphene platform was synthesized and characterized using SEM, TEM, XRD, and FTIR spectroscopy. Electrochemical characterization revealed enhanced electron transfer kinetics, with the TB-Au-Fe 3 O 4 -rGO electrode exhibiting the lowest charge transfer resistance of 43 Ω. Optimization of antibody immobilization and assay conditions resulted in a sensitive and selective immunosensor. The sensor showed a direct correlation with AFP levels ranging from 0.1 to 500 ng/mL, and was able to detect concentrations as low as 0.03 ng/mL. Selectivity studies showed minimal interference from common serum proteins, even at 100-fold higher concentrations. The immunosensor showed consistent results with a relative standard deviation of 3.8 % from 5 replicates, and retained more than 95 % of its original signal after being stored at 4°C for 30 days. Analysis of clinical serum samples showed excellent agreement with ELISA results (R 2 = 0.998) and recovery rates between 96.5 % and 103.8 % for spiked samples. The rapid response time of 35 seconds and simple operation make this platform promising for point-of-care liver cancer screening. This work demonstrates the potential of multifunctionalized graphene nanocomposites for enhancing the performance of electrochemical immunosensors in clinical diagnostics.

Alexandria Engineering JournalVol. 123
Shandong University of Traditional Chinese Medicine (CN), Affiliated Hospital of Taishan Medical University (CN), Taishan University (CN), Shandong First Medical University (CN), Tianjin Medical University (CN), Jinzhou Medical University (CN)
Natural Science Foundation of Shandong Province
Good health and well-being
Openalex Percentile: Top 3%
Advanced biosensing and bioanalysis techniques
7.25
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