Biogenic preparation of doughnut shaped manganese nanograins embellished on graphene for superior interfacial binding of biomarkers

Ayesha Taj, Rabisa Zia, Jie Xu, Sumaira Younis, Pedro Estrela, Arshad Mahmood, Asma Rehman, Waheed Khan, Sadia Bajwa

Research output: Contribution to journalArticlepeer-review

Abstract

The astounding characteristics of the nanomaterials can be crafted to prepare tailor-made interfaces, especially for the development of biomedical applications. In the present study, we illustrate the preparation of a new class of doughnut-shaped manganese nanograins embellished on the graphene sheets to develop hybrid interfaces using a gentle and nontoxic approach. We investigate its potential to detect clinically important biomarkers and glutathione is chosen as a case study. The unprecedented structural morphology and chemical characteristics are described. Two-dimensional sheets of graphene are uniformly occupied by manganese nanograins. Each individual grain is doughnut-shaped with the external diameter of about 5-10 nm, the thickness of 2 nm with a small central cavity of about 1 nm. We show the unique morphology of hybrid offers conducting features of graphene, metallic nature of nanograins, and amelioration of greater surface area to promote enhanced binding capability. Resultantly, the hybrid yields remarkable sensitivity of 7 nM. A binding mechanism has been proposed along with extensive kinetics assessment. The developed hybrid can selectively bind glutathione in comparison of protein and non-protein molecules. The results validate that this approach can be used to design green hybrid materials for accurate diagnosis of biomarkers and metabolites.
Original languageEnglish
Pages (from-to)9896-9906
Number of pages11
JournalJournal of Materials Research and Technology
Volume9
Issue number5
Early online date17 Jul 2020
DOIs
Publication statusPublished - 1 Sep 2020

Keywords

  • Hybrid nanostructures
  • Manganese nanograins
  • Graphene oxide
  • Biogenic preparation
  • medical diagnostics
  • Biomarkers

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