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Ultrasensitive Impedimetric Biosensor for Ovarian Cancer Screening.

Shilpa Gundagatti¹, Sudha Srivastava¹

¹Department of Biotechnology, Jaypee Institute of Information Technology, Noida, India.

Indian Journal of Microbiology

|May 15, 2025

Summary

This study introduces a novel DNA-based nano-biosensor for ultrasensitive detection of ovarian cancer biomarker miRNA-21. This point-of-care device promises early diagnosis and improved patient survival through mass screening.

Keywords:

Biosensors design Gold nanoparticles Magnetite selenium nanocomposites Ovarian cancer detection miRNA-21

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Area of Science:

Biomedical Engineering
Nanotechnology
Oncology

Background:

Ovarian cancer diagnosis is often delayed, impacting patient survival rates.
Point-of-care devices are crucial for population-level early detection.
MicroRNA-21 (miRNA-21) is a key biomarker for ovarian cancer.

Purpose of the Study:

To develop an ultrasensitive, label-free DNA-based nano-biosensor for quantifying miRNA-21.
To create a cost-effective and sensitive device for early ovarian cancer diagnosis.
To utilize magnetite selenium nanocomposite for enhanced biosensing capabilities.

Main Methods:

Fabrication of a magnetite selenium (Fe3O4-Se) nanocomposite via co-precipitation.
Characterization of the nanocomposite using TEM, EDX, FTIR, VSM, and XRD.
Development of an impedimetric biosensor by immobilizing a DNA probe specific to miRNA-21 onto the nanocomposite-modified electrode.

Main Results:

The Fe3O4-Se nanocomposite exhibited an average size of 20 nm with low polydispersity.
The impedimetric biosensor showed a linear response to miRNA-21 concentrations from 75 zM to 0.751 pM.
Achieved an ultra-low limit of detection of 75 zM and high selectivity against other biomarkers.

Conclusions:

The developed magnetite-based impedimetric biosensor is highly sensitive and selective for miRNA-21 detection.
This nano-biosensor holds promise as a consumer-centric device for mass screening of ovarian cancer.
Early diagnosis facilitated by this technology can significantly improve patient outcomes.