Dual Recognition Strategy-Based Ratiometric Electrochemical Assay for Ultrasensitive and Accurate Detection of Specific Circulating Tumor Cells

Sensitive, specific, and accurate detection of circulating tumor cells (CTCs) is of great importance in the diagnosis and prognosis of cancer. Herein, an ultrasensitive ratiometric electrochemical biosensor was designed with a dual recognition strategy for highly specific and accurate detection of circulating MCF-7 human breast cancer cells based on gold film-modified porous organic cages loaded with ferrocene (Au/Fc@POCs) as the substrate and methylene blue-encapsulated covalent organic frameworks (MB@COFs) as the label material, producing two independent electrochemical signals from the Fc and MB probes, respectively. As the concentration of MCF-7 cells increases, the electrochemical signal of MB enhances significantly while the oxidation signal of Fc decreases remarkably. Under optimal experimental conditions, the ratios (<i>I</i><sub>MB</sub>/<i>I</i><sub>Fc</sub>) between the double signals showed a broad dynamic range of 10 to 1 × 10<sup>7</sup> cells/mL with an effectively lower detection limit of 1 cells/mL (S/N = 3). Furthermore, the biosensor was able to accurately enumerate MCF-7 cells in human serum samples with excellent results. In this work, the developed ratiometric electrochemical biosensor offers a reliable and sensitive strategy for the quantitative determination of circulating MCF-7 human breast cancer cells as well as an effective approach for the clinical detection of rare cancer cells, especially in early stage cancer diagnosis.

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Publication Details

Journal
Analytical Chemistry
Published
2024-10-23
DOI
https://doi.org/10.1021/acs.analchem.4c02970
Citations
14
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
3.27

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article

Dual Recognition Strategy-Based Ratiometric Electrochemical Assay for Ultrasensitive and Accurate Detection of Specific Circulating Tumor Cells

Haiyan Zhao, Na Li, Cong Zhang, Meng Li et al.
14 citations
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
3.27
article

Dual Recognition Strategy-Based Ratiometric Electrochemical Assay for Ultrasensitive and Accurate Detection of Specific Circulating Tumor Cells

Haiyan Zhao, Na Li, Cong Zhang, Meng Li, Bao De Sun, Yu Pang, Min Cui, Zhenjiao Tian
article en
14 citations

Abstract

Sensitive, specific, and accurate detection of circulating tumor cells (CTCs) is of great importance in the diagnosis and prognosis of cancer. Herein, an ultrasensitive ratiometric electrochemical biosensor was designed with a dual recognition strategy for highly specific and accurate detection of circulating MCF-7 human breast cancer cells based on gold film-modified porous organic cages loaded with ferrocene (Au/Fc@POCs) as the substrate and methylene blue-encapsulated covalent organic frameworks (MB@COFs) as the label material, producing two independent electrochemical signals from the Fc and MB probes, respectively. As the concentration of MCF-7 cells increases, the electrochemical signal of MB enhances significantly while the oxidation signal of Fc decreases remarkably. Under optimal experimental conditions, the ratios (<i>I</i><sub>MB</sub>/<i>I</i><sub>Fc</sub>) between the double signals showed a broad dynamic range of 10 to 1 × 10<sup>7</sup> cells/mL with an effectively lower detection limit of 1 cells/mL (S/N = 3). Furthermore, the biosensor was able to accurately enumerate MCF-7 cells in human serum samples with excellent results. In this work, the developed ratiometric electrochemical biosensor offers a reliable and sensitive strategy for the quantitative determination of circulating MCF-7 human breast cancer cells as well as an effective approach for the clinical detection of rare cancer cells, especially in early stage cancer diagnosis.

Analytical ChemistryVol. 96(44)
Hebei Medical University (CN), Center for Drug Evaluation and Research (US), Interface (United States) (US), Hebei University of Science and Technology (CN)
National Natural Science Foundation of China, Department of Education of Hebei Province, Natural Science Foundation of Hebei Province
Openalex Percentile: Top 7%
Advanced biosensing and bioanalysis techniques
3.27
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