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Research Article | Open Access

Vapor-phase self-assembly of orientation-controlled amino acid nanorod arrays for energy harvesting

Ying Tang1,2Pei Du2Shuaikang Zhou2Tong Wu2Weiqiang Fan2Haoyu Wang2Ehud Gazit3Rusen Yang1 ( )
School of Physics, Xidian University, Xi’an 710071, China
School of Advanced Materials and Nanotechnology, Xidian University, Xi’an 710071, China
Department of Molecular Microbiology and Biotechnology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
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Abstract

Biomolecules can form micro- and nanoscale structures with unique physicochemical properties. These structures tend to grow randomly in solution or on a substrate, and the lack of orientation control stems from a limited understanding of the self-assembly process, hindering their applications. Here, we achieve aligned, uniform nanorod arrays of aromatic amino acids via an electric-field-assisted physical vapor deposition process. The electric driving force and non-covalent intermolecular interactions work synergistically in biomolecular self-assembly. The vapor-deposition angle controls the stacking direction of tyrosine, phenylalanine, and levodopa, and a dynamic transition from vertical columnar crystals to horizontal needle-like epitaxial growth is observed. The good mechanical properties and piezoelectric response enable the fabrication of piezoelectric nanogenerators for environmental energy harvesting. The present work provides a new direction for the controlled growth of smart biomaterials and promotes their practical applications.

Graphical Abstract

This article provide the amino acid self-assembly mechanisms in the physical vapor deposition process and an orientationcontrol strategy for aligned nanorod arrays.

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Nano Research
Article number: 94908745

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Cite this article:
Tang Y, Du P, Zhou S, et al. Vapor-phase self-assembly of orientation-controlled amino acid nanorod arrays for energy harvesting. Nano Research, 2026, 19(9): 94908745. https://doi.org/10.26599/NR.2026.94908745
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Received: 13 February 2026
Revised: 13 April 2026
Accepted: 17 April 2026
Published: 21 July 2026
© The Author(s) 2026. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).