Combinatorial Nano-Bio Interfaces

Pingqiang Cai, Xiaoqian Zhang, Ming Wang, Yun Long Wu, Xiaodong Chen*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

94 Citations (Scopus)

Abstract

Nano-bio interfaces are emerging from the convergence of engineered nanomaterials and biological entities. Despite rapid growth, clinical translation of biomedical nanomaterials is heavily compromised by the lack of comprehensive understanding of biophysicochemical interactions at nano-bio interfaces. In the past decade, a few investigations have adopted a combinatorial approach toward decoding nano-bio interfaces. Combinatorial nano-bio interfaces comprise the design of nanocombinatorial libraries and high-throughput bioevaluation. In this Perspective, we address challenges in combinatorial nano-bio interfaces and call for multiparametric nanocombinatorics (composition, morphology, mechanics, surface chemistry), multiscale bioevaluation (biomolecules, organelles, cells, tissues/organs), and the recruitment of computational modeling and artificial intelligence. Leveraging combinatorial nano-bio interfaces will shed light on precision nanomedicine and its potential applications.

Original languageEnglish
Pages (from-to)5078-5084
Number of pages7
JournalACS Nano
Volume12
Issue number6
DOIs
Publication statusPublished - Jun 26 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 American Chemical Society.

ASJC Scopus Subject Areas

  • General Materials Science
  • General Engineering
  • General Physics and Astronomy

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