Issue 12, 2022

Tailoring ZnO nanowire crystallinity and morphology for label-free capturing of extracellular vesicles

Abstract

Zinc oxide (ZnO) nanowires have shown their potential in isolation of cancer-related biomolecules such as extracellular vesicles (EVs), RNAs, and DNAs for early diagnosis and therapeutic development of diseases. Since the function of inorganic nanowires changes depending on their morphology, previous studies have established strategies to control the morphology and have demonstrated attainment of improved properties for gas and organic compound detection, and for dye-sensitized solar cells and photoelectric conversion performance. Nevertheless, crystallinity and morphology of ZnO nanowires for capturing EVs, an important biomarker of cancer, have not yet been discussed. Here, we fabricated ZnO nanowires with different crystallinities and morphologies using an ammonia-assisted hydrothermal method, and we comprehensively analyzed the crystalline nature and oriented growth of the synthesized nanowires by X-ray diffraction and selected area electron diffraction using high resolution transmission electron microscopy. In evaluating the performance of label-free EV capture in a microfluidic device platform, we found both the crystallinity and morphology of ZnO nanowires affected EV capture efficiency. In particular, the zinc blende phase was identified as important for crystallinity, while increasing the nanowire density in the array was important for morphology to improve EV capture performance. These results highlighted that the key physicochemical properties of the ZnO nanowires were related to the EV capture performance.

Graphical abstract: Tailoring ZnO nanowire crystallinity and morphology for label-free capturing of extracellular vesicles

Supplementary files

Article information

Article type
Paper
Submitted
02 Nov 2021
Accepted
24 Jan 2022
First published
02 Mar 2022
This article is Open Access
Creative Commons BY-NC license

Nanoscale, 2022,14, 4484-4494

Tailoring ZnO nanowire crystallinity and morphology for label-free capturing of extracellular vesicles

P. Paisrisarn, T. Yasui, Z. Zhu, A. Klamchuen, P. Kasamechonchung, T. Wutikhun, V. Yordsri and Y. Baba, Nanoscale, 2022, 14, 4484 DOI: 10.1039/D1NR07237D

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