Enzymatic Degradation of Graphene Quantum Dots by Human Peroxidases

Cristina Martín, Gong Jun, Rachel Schurhammer, Giacomo Reina, Peng Chen, Alberto Bianco*, Cécilia Ménard-Moyon

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

62 Citations (Scopus)

Abstract

Carbon-based nanomaterials have demonstrated to be potent candidates for biomedical applications. Recently, graphene quantum dots (GQDs) have emerged as an attractive tool for bioimaging, biosensing, and therapy. Hence, studying their biodegradability in living systems is essential to speed up the translation toward real clinical innovations. Here, the enzymatic degradation of GQDs using human myeloperoxidase and eosinophil peroxidase is investigated. Transmission electron microscopy, fluorescence, and Raman spectroscopy are used to evaluate the biodegradation of GQDs. Signs of degradation by both enzymes are observed already after a few hours of incubation with each enzyme, being more evident after a couple of days of treatment. Molecular dynamics simulations show intimate interactions between the enzymes and the GQDs. The conformation of both peroxidases is slightly altered to favor the interactions, while the GQD sheets distort a little to adapt to the surface of the enzymes. The biodegradability of the GQDs ensures their real potential in the practical biomedical applications.

Original languageEnglish
Article number1905405
JournalSmall
Volume15
Issue number52
DOIs
Publication statusPublished - Dec 1 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

ASJC Scopus Subject Areas

  • Biotechnology
  • General Chemistry
  • Biomaterials
  • General Materials Science
  • Engineering (miscellaneous)

Keywords

  • carbon materials
  • eosinophil peroxidase
  • fluorescence
  • molecular dynamics simulations
  • myeloperoxidase

Fingerprint

Dive into the research topics of 'Enzymatic Degradation of Graphene Quantum Dots by Human Peroxidases'. Together they form a unique fingerprint.

Cite this