Layer-by-layer assembled AuNP/γ-MnO₂–chitosan modified GCE for ultrasensitive detection of carcinoembryonic antigen

The sensitive detection of carcinoembryonic antigen (CEA), a critical tumor marker, is paramount for early-stage cancer diagnosis and management. This study reports the development of a novel, label-free electrochemical immunosensor based on a layer-by-layer (LbL) assembly of gold nanoparticles (AuNPs) and a gamma-phase manganese dioxide–chitosan (γ-MnO₂–CS) nanocomposite on a glassy carbon electrode (GCE). The engineered sensing interface leverages the synergistic properties of its constituents: the porous, high-surface-area γ-MnO₂–CS matrix provides an ideal scaffold for high-density antibody immobilization, while the integrated AuNPs create a highly conductive network that significantly amplifies the electrochemical signal. The immunosensor operates by measuring the impedance to electron transfer from a [Fe(CN)₆]³ ⁻/⁴⁻ redox probe, which is proportionally hindered by the binding of CEA to surface-immobilized antibodies. The platform demonstrated exceptional analytical performance, exhibiting an ultra-wide linear dynamic range spanning seven orders of magnitude from 10 fg mL −1 to 100 ng mL −1 , with an extremely low limit of detection of 9.6 fg mL −1 . Furthermore, the sensor showed excellent precision, with inter-day CVs below 9 % for mid- and high-range concentrations, and demonstrated high selectivity against common interferents. Its practical utility was confirmed in diluted human serum, achieving spike-recovery rates between 94.1 % and 104.6 %, validating its potential as a powerful and reliable tool for clinical applications.

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Publication Details

Journal
International Journal of Electrochemical Science
Published
2025-12-10
DOI
https://doi.org/10.1016/j.ijoes.2025.101255
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
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article

Layer-by-layer assembled AuNP/γ-MnO₂–chitosan modified GCE for ultrasensitive detection of carcinoembryonic antigen

Shanshan Mu, Han Xia, Lu Wang, Yan Zhang et al.
International Journal of Electrochemical Science
Advanced biosensing and bioanalysis techniques
article

Layer-by-layer assembled AuNP/γ-MnO₂–chitosan modified GCE for ultrasensitive detection of carcinoembryonic antigen

Shanshan Mu, Han Xia, Lu Wang, Yan Zhang, Na Wang, Lei Zhang, Lína Zhang
article en

Abstract

The sensitive detection of carcinoembryonic antigen (CEA), a critical tumor marker, is paramount for early-stage cancer diagnosis and management. This study reports the development of a novel, label-free electrochemical immunosensor based on a layer-by-layer (LbL) assembly of gold nanoparticles (AuNPs) and a gamma-phase manganese dioxide–chitosan (γ-MnO₂–CS) nanocomposite on a glassy carbon electrode (GCE). The engineered sensing interface leverages the synergistic properties of its constituents: the porous, high-surface-area γ-MnO₂–CS matrix provides an ideal scaffold for high-density antibody immobilization, while the integrated AuNPs create a highly conductive network that significantly amplifies the electrochemical signal. The immunosensor operates by measuring the impedance to electron transfer from a [Fe(CN)₆]³ ⁻/⁴⁻ redox probe, which is proportionally hindered by the binding of CEA to surface-immobilized antibodies. The platform demonstrated exceptional analytical performance, exhibiting an ultra-wide linear dynamic range spanning seven orders of magnitude from 10 fg mL −1 to 100 ng mL −1 , with an extremely low limit of detection of 9.6 fg mL −1 . Furthermore, the sensor showed excellent precision, with inter-day CVs below 9 % for mid- and high-range concentrations, and demonstrated high selectivity against common interferents. Its practical utility was confirmed in diluted human serum, achieving spike-recovery rates between 94.1 % and 104.6 %, validating its potential as a powerful and reliable tool for clinical applications.

International Journal of Electrochemical ScienceVol. 21(1)
People's Hospital of Xinjiang Uygur Autonomous Region (CN)
Openalex Percentile: Top 64%
Advanced biosensing and bioanalysis techniques
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