4.6 Article

Anti-Biofouling Electrochemical Sensor Based on the Binary Nanocomposite of Silica Nanochannel Array and Graphene for Doxorubicin Detection in Human Serum and Urine Samples

Journal

MOLECULES
Volume 27, Issue 24, Pages -

Publisher

MDPI
DOI: 10.3390/molecules27248640

Keywords

silica nanochannel array; electrochemically reduced graphene oxide; screen-printed carbon electrode; doxorubicin; electrochemical sensor

Funding

  1. Zhejiang Provincial Natural Science Foundation of China
  2. Construction Fund of Key Medical Disciplines of Hangzhou
  3. Key Research & Development Program of Zhejiang Province
  4. [LYQ20H310005]
  5. [20200093]
  6. [2022C03108]

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A disposable and portable electrochemical sensor was fabricated by integrating vertically-ordered silica mesoporous films and electrochemically reduced graphene on a screen-printed carbon electrode. The sensor showed excellent analytical performance, enabling quantitative detection of doxorubicin in biological samples with high sensitivity, good long-term stability, and low sample amounts.
A disposable and portable electrochemical sensor was fabricated by integrating vertically-ordered silica mesoporous films (VMSF) and electrochemically reduced graphene (ErGO) on a screen-printed carbon electrode (SPCE). Such VMSF/ErGO/SPCEs could be prepared by a simple and controllable electrochemical method. Stable growth of VMSF on SPCE could be accomplished by the introduction of an adhesive ErGO nanolayer owing to its oxygen-containing groups and two-dimensional (2D) planar structure. An outer VMSF layer acting as a protective coating is able to prevent the leakage of the inner ErGO layer from the SPCE surface. Thanks to the electrostatic permselectivity and anti-fouling capacity of VMSF and to the good electroactive activity of ErGO, binary nanocomposites of VMSF and ErGO endow the SPCE with excellent analytical performance, which could be used to quantitatively detect doxorubicin (DOX) in biological samples (human serum and urine) with high sensitivity, good long-term stability, and low sample amounts.

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