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Engineering Pollen-Derived Microstructures to Reveal Material Morpho-Performance Paradigm.

Dong LiuTing ZhangXiaowen ChengBin WangYijia GuoZhengzuo LiuHao JiangYuan Lu
Published in: Small (Weinheim an der Bergstrasse, Germany) (2022)
The morphologies of micromaterials play a key role in their functionality and efficiency across a broad range of applications, including catalysis, environmental remediation, and drug delivery. However, the relationships between the morphologies and performances of micromaterials still need to be further understood, to guide the rational design of effective morphologies for specific applications. A pollen-derived microstructure library containing multivariate morphological characterization and functional performance data is proposed and constructed here. Systematic multivariate correlation analysis is conducted to extract the key morphological factors influencing the photocatalytic and adsorption efficiencies, to reveal the morpho-performance relationships of pollen-derived microstructures. Subsequently, a chrysanthemum-derived microstructure is selected as a typical candidate; it features a unique morphology suitable for advanced photocatalysis and dynamic environmental remediation. To summarize, the construction of a pollen-derived microstructure library offers a powerful tool for studying the morpho-performance relationships of micromaterials; this can provide significant guidance and inspiration for the rational design of micro/nanomaterials for numerous applications.
Keyphrases
  • drug delivery
  • white matter
  • genome wide
  • data analysis
  • single cell
  • risk assessment
  • dna methylation
  • gene expression
  • machine learning
  • visible light
  • human health
  • artificial intelligence
  • deep learning