Skip to main navigation Skip to search Skip to main content

Ultrasensitive biosensing platform for Mycobacterium tuberculosis detection based on functionalized graphene devices

  • Giwan Seo
  • , Geonhee Lee
  • , Wooyoung Kim
  • , Inyoung An
  • , Myungwoo Choi
  • , Sojeong Jang
  • , Yeon Joon Park
  • , Jeong O. Lee
  • , Donghwi Cho
  • , Edmond Changkyun Park

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Tuberculosis (TB) has high morbidity as a chronic infectious disease transmitted mainly through the respiratory tract. However, the conventional diagnosis methods for TB are time-consuming and require specialists, making the diagnosis of TB with point-of-care (POC) detection difficult. Here, we developed a graphene-based field-effect transistor (GFET) biosensor for detecting the MPT64 protein of Mycobacterium tuberculosis with high sensitivity as a POC detection platform for TB. For effective conjugation of antibodies, the graphene channels of the GFET were functionalized by immobilizing 1,5-diaminonaphthalene (1,5-DAN) and glutaraldehyde linker molecules onto the graphene surface. The successful immobilization of linker molecules with spatial uniformity on the graphene surface and subsequent antibody conjugation were confirmed by Raman spectroscopy and X-ray photoelectron spectroscopy. The GFET functionalized with MPT64 antibodies showed MPT64 detection with a detection limit of 1 fg/mL in real-time, indicating that the GFET biosensor is highly sensitive. Compared to rapid detection tests (RDT) and enzyme-linked immunosorbent assays, the GFET biosensor platform developed in this study showed much higher sensitivity but much smaller dynamic range. Due to its high sensitivity, the GFET biosensor platform can bridge the gap between time-consuming molecular diagnostics and low-sensitivity RDT, potentially aiding in early detection or management of relapses in infectious diseases.

Original languageEnglish
Article number1313494
JournalFrontiers in Bioengineering and Biotechnology
Volume11
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
Copyright © 2023 Seo, Lee, Kim, An, Choi, Jang, Park, Lee, Cho and Park.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • MPT64
  • Mycobacterium tuberculosis
  • biosensor
  • field-effect transistor (FET)
  • graphene

Fingerprint

Dive into the research topics of 'Ultrasensitive biosensing platform for Mycobacterium tuberculosis detection based on functionalized graphene devices'. Together they form a unique fingerprint.

Cite this