Bioinspired Ultrafast-Responsive Nanofluidic System for Ion and Molecule Transport with Speed Control

The design of an intelligent nanofluidic system for regulating the transport of substances such as ions and molecules is significant for applications in biological sensing, drug delivery, and energy harvesting. However, the existing nanofluidic system faces challenges in terms of an uncontrollable t...

Full description

Saved in:
Bibliographic Details
Published inACS nano Vol. 14; no. 10; pp. 12614 - 12620
Main Authors Wang, Can, Wang, Dianyu, Miao, Weining, Shi, Lianxin, Wang, Shutao, Tian, Ye, Jiang, Lei
Format Journal Article
LanguageEnglish
Published American Chemical Society 27.10.2020
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The design of an intelligent nanofluidic system for regulating the transport of substances such as ions and molecules is significant for applications in biological sensing, drug delivery, and energy harvesting. However, the existing nanofluidic system faces challenges in terms of an uncontrollable transport speed for molecules and ions and also a complex preparation processes, low durability, and slow response rate. Herein, we demonstrate the use of a bioinspired ferrofluid-based nanofluid that can facilitate multilevel ultrafast-responsive ion and molecule transport with speed control. Specifically, we reversibly deform bulk ferrofluids using a magnet and wet/dewet the outer surface of superhydrophilic nanochannels for building a smart transport system. By changing the direction and strength of the external magnetic field, a speed control, ultrafast-responsive molecular transport (<0.1 s), and controlled current gating ratio are achieved owing to the different pattern changes of ferrofluids on the outer surface of nanochannels. We also illustrate a practical application of this strategy for antibacterial devices to control the transport of drug molecules in a programmed manner. These results suggest that molecule transport can be further complexified and quantified through an intelligent nanofluidic system.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1936-0851
1936-086X
DOI:10.1021/acsnano.0c05156