Issue 48, 2023

Quantified instant conjugation of peptides on a nanogold surface for tunable ice recrystallization inhibition

Abstract

The adverse effects of recrystallization limit the application of cryopreservation in many fields. Peptide-based materials play an essential role in the antifreezing area because of their excellent biocompatibility and abundant ice-binding sites. Peptide–gold nanoparticle conjugates can effectively reduce time and material costs through metal–thiol interactions, but controlled modification remains an outstanding issue, which makes it difficult to elucidate the antifreezing effects of antifreeze peptides at different densities and lengths. In this study, we developed an instant peptide capping on gold nanoparticles with butanol-assisted dehydration and provided a controllable quantitative coupling within a certain range. This chemical dehydration makes it possible to fabricate peptide–gold nanoparticle conjugates in large batches at minute levels. Based on this, the influence of the peptide density and sequence length on the antifreezing behaviors of the conjugates was investigated. The results evidenced that the antifreezing property of the flexible peptide conjugated on a rigid core is related to both the density and length of the peptide. In a certain range, the density is proportional to the antifreeze, while the length is negatively correlated with it. We proposed a rapidly controllable method for synthesizing peptide–gold nanoparticle conjugates, which may provide a universal approach for the development of subsequent recrystallization-inhibiting materials.

Graphical abstract: Quantified instant conjugation of peptides on a nanogold surface for tunable ice recrystallization inhibition

Supplementary files

Article information

Article type
Paper
Submitted
06 Oct 2023
Accepted
08 Nov 2023
First published
17 Nov 2023

Nanoscale, 2023,15, 19746-19756

Quantified instant conjugation of peptides on a nanogold surface for tunable ice recrystallization inhibition

S. Yang, Z. Ding, L. Chu, M. Su and H. Liu, Nanoscale, 2023, 15, 19746 DOI: 10.1039/D3NR05019J

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