Jiawen Wang, Yi Yu, Huilong Dong, Yujin Ji, Weihua Ning and Youyong Li
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引用次数: 0
Abstract
In biomedical fields, rational design of novel two-dimensional (2D) biomedical nanomaterials aims to precisely manipulate biomolecules, including efficient capture, structural–functional transformation, directional movement, and self-assembly. In this work, we innovatively proposed new graphene nanosheets and selected two representative proteins to explore their binding mechanisms, structural–functional transformation of proteins, and biological effects of the materials. Fluorinated defective graphene (FDG) exhibited highly efficient capture and structural–functional transformation for the receptor binding domain (RBD), and we observed its collapse phenomenon in 2D materials for the first time. For the main protease (Mpro), FDG achieved an optimal balance between efficient capture, immobilization, and structural disruption. Further studies showed that fluorination on oxygen-containing defect graphene significantly enhanced variances in water distribution, surface properties, and hydrogen bond networks on the material surface. This allowed amino acids to be confined to specific areas, achieving efficient capture and directional movement. Additionally, the adsorption behavior and interaction strength of peptides and deoxynucleotides on FDG further validated the possibility of self-assembly. In summary, we highlight FDG as an excellent biomedical material with hydrophilic–hydrophobic integration.
期刊介绍:
Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions.
The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.