Affiliations 

  • 1 Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Perak Darul Ridzuan, Malaysia
  • 2 Center for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, Tamil Nadu, India
  • 3 School of Engineering and the Built Environment, Faculty of Computing, Engineering and the Built Environment, Birmingham City University, Birmingham, UK
  • 4 Centre of Innovative Nanostructures and Nanodevices (COINN), Universiti Teknologi PETRONAS, Seri Iskandar, Perak Darul Ridzuan, Malaysia
  • 5 Department of Chemistry, College of Science, King Saud University, Riyadh, Saudi Arabia
PMID: 39924981 DOI: 10.1002/bab.2731

Abstract

Dengue fever, a mosquito-borne viral infection, poses a significant global health challenge, particularly in tropical and subtropical regions. The absence of non-effective vaccines and specific treatments underscores the need for advanced diagnostic tools for early detection and management. This study presents a novel biosensor for detecting dengue virus type 4 (DENV-4) by combining carbonyldiimidazole nanoflower (CDI-NF) with Mn3O4 on laser-scribed graphene (LSG). Material characterization techniques, including Raman spectroscopy, TEM, XRD, XPS, and FTIR, were employed to confirm the successful integration of Mn3O4 and CDI-NF, resulting in a unique 3D flower-like structure. In order to verify the sensing efficiency, a selective DNA sample captured on LSG/Mn3O4-CDI-NF was investigated for specifc binding with Aedes aegypti target DNA through selective hybridization and mismatch analysis. Electrochemical impedance studies further confirmed sensitive detection of up to 1 fM, where the sensitivity was confirmed by large transfer resistance (Rct) before and after hybridization with a regression coefficient 0.97373. EIS results demonstrated successful surface modifications and the biosensor's specificity in distinguishing between complementary, mismatched, and non-complementary target sequences. The biosensor's ability to differentiate between these sequences highlights its potential for accurate and targeted DENV-4 detection, offering a promising avenue for advancing dengue diagnostics.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.