Interaction of graphene oxide with tannic acid: computational modeling and toxicity mitigation in C. elegans

Beilstein J Nanotechnol. 2024 Oct 30:15:1297-1311. doi: 10.3762/bjnano.15.105. eCollection 2024.

Abstract

Graphene oxide (GO) undergoes multiple transformations when introduced to biological and environmental media. GO surface favors the adsorption of biomolecules through different types of interaction mechanisms, modulating the biological effects of the material. In this study, we investigated the interaction of GO with tannic acid (TA) and its consequences for GO toxicity. We focused on understanding how TA interacts with GO, its impact on the material surface chemistry, colloidal stability, as well as, toxicity and biodistribution using the Caenorhabditis elegans model. Employing computational modeling, including reactive classical molecular dynamics and ab initio calculations, we reveal that TA preferentially binds to the most reactive sites on GO surfaces via the oxygen-containing groups or the carbon matrix; van der Waals interaction forces dominate the binding energy. TA exhibits a dose-dependent mitigating effect on the toxicity of GO, which can be attributed not only to the surface interactions between the molecule and the material but also to the inherent biological properties of TA in C. elegans. Our findings contribute to a deeper understanding of GO's environmental behavior and toxicity and highlight the potential of tannic acid for the synthesis and surface functionalization of graphene-based nanomaterials, offering insights into safer nanotechnology development.

Keywords: biodistribution; density functional theory; ecotoxicity; molecular dynamics; surface interactions; toxicity mitigation.

Grants and funding

This work was supported by FAPESP (Grants 2018/25103-0 and 2017/02317-2), Brazilian national institutes (INCT-Materials Informatics, INCT-Nanocarbono, INCT-Inomat and INCT-NanoAgro) and CompSafeNano-Brazil Project – Nanoinformatics approaches for safety and regulation of nanomaterials (CNPq Proc. No. 443735/2023-9).