Extremely High Two-Photon Absorbing Graphene Oxide for Imaging of Tumor Cells in the Second Biological Window

Avijit Pramanik1, Suhash Reddy Chavva1, Zhen Fan1

  • 1Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States.

Insights

Researchers developed aptamer-conjugated graphene oxide for selective two-photon imaging of breast tumor cells. This advanced imaging technique offers high sensitivity and stability for improved cancer diagnostics.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Optical Imaging

Background:

  • Cancer is a global health challenge requiring advanced diagnostic tools.
  • Near-infrared (NIR) light imaging offers improved depth penetration for tumor visualization.
  • Targeted imaging is crucial for accurate breast cancer diagnosis and treatment.

Purpose of the Study:

  • To develop a novel two-photon imaging approach for selective breast tumor cell detection.
  • To utilize aptamer-conjugated graphene oxide for enhanced imaging capabilities.
  • To evaluate the efficacy of the developed system in distinguishing cancer cells.

Main Methods:

  • Conjugation of S6 RNA aptamers with graphene oxide.
  • Characterization of two-photon absorption properties of the conjugated material.
  • Two-photon fluorescence imaging of breast tumor cells (SK-BR-3 and MDA-MB-231) using 1100 nm wavelength.
  • Assessment of imaging stability and selectivity.

Main Results:

  • Aptamer-conjugated graphene oxide exhibited exceptionally high two-photon absorption (σ2PA = 46890 GM).
  • The two-photon luminescence signal remained stable for over 2 hours of illumination.
  • Selective two-photon imaging of SK-BR-3 breast tumor cells was achieved in the second biological transparency window.
  • The system effectively distinguished targeted SK-BR-3 cells from non-targeted MDA-MB-231 cells.

Conclusions:

  • Aptamer-conjugated graphene oxide is a promising platform for selective two-photon imaging of breast cancer.
  • The developed method offers high sensitivity, stability, and specificity for cancer cell detection.
  • This technique holds potential for advancing clinical tumor diagnostics and improving patient outcomes.

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