Functionalized Graphene Quantum Dot Interfaced Electrochemical Detection of Cardiac Troponin I: An Antibody Free

Muthaiyan Lakshmanakumar1,2, Noel Nesakumar3, Swaminathan Sethuraman1,4

  • 1Centre for Nanotechnology & Advanced Biomaterials (CeNTAB), SASTRA Deemed University, Thanjavur, 613 401, India.

Scientific Reports
|November 24, 2019
PubMed

Insights

This study introduces a novel biosensor using functionalized graphene quantum dots for detecting cardiac Troponin I, a key marker for early acute myocardial infarction diagnosis.

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Analytical Chemistry

Background:

  • Cardiovascular disease (CVD) remains a leading global cause of mortality.
  • Developing sensitive biosensors for CVD markers is crucial for early diagnosis and treatment.
  • Cardiac Troponin I (cTnI) is a critical biomarker for acute myocardial infarction (AMI).

Purpose of the Study:

  • To develop an electrochemical biosensor for sensitive and early detection of cardiac Troponin I (cTnI).
  • To utilize acetic acid functionalized graphene quantum dots (fGQDs) as an interface for cTnI detection.
  • To investigate the diagnostic capacity of the developed biosensor for acute myocardial infarction.

Main Methods:

  • Electrochemical detection using cyclic voltammetry (CV) and amperometry.
  • Functionalization of graphene quantum dots with acetic acid (fGQDs).
  • Carbodiimide conjugation for immobilizing cTnI onto the fGQDs.
  • Fourier Transform Infrared Spectrometry (FTIR) for confirming the sensing mechanism.

Main Results:

  • The fGQDs modified Au electrode demonstrated sensitive electrocatalytic oxidation of cTnI.
  • Achieved a linear detection range of 0.17 to 3 ng/mL for cTnI.
  • Obtained a low limit of detection of 0.02 ng/mL for cTnI.
  • Bland-Altman plots indicated bias between intra-/inter-cTnI assays and calibrated assays.

Conclusions:

  • The developed fGQDs-based electrochemical biosensor offers a promising method for cTnI detection.
  • This innovative approach shows potential for the early diagnosis of acute myocardial infarction.
  • Further validation with clinical samples is required to confirm applicability in healthcare settings.

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