Improving Electrochemical Sensing in Ionic Liquid Droplets via Microscale Stirring

In the field of ionic-liquid-based electrochemical gas sensors, the high viscosity of ionic liquids leads to slow mass transfer, restricting sensor performance. In this study, microstirbars with tunable sizes were fabricated via wet spinning. Using fluorescent dye as a tracer, these microstirbars homogeneously dispersed the dye in a droplet of ionic liquid within 2 min, nearly 200 times faster than the control group without stirring. When using ferrocene as a model reactant in chronoamperometry, the microstirbars enhanced the mass transfer process and the best stirring conditions (400 rpm, 8.0 wt %, <i>l</i> = 300 μm) were determined. When these optimized conditions were applied to oxygen detection, the results showed that the sensor sensitivity reached 0.63 μA·%<sup>-1</sup>, on par with the best performing gas sensors in the literature and 6 times higher than the control group without stirring. The stirred sensor achieved <i>T</i><sub>90</sub> of 7.0 s for 6.7% O<sub>2</sub>, three times faster than that of the control group without stirring (21 s). This study presents a straightforward approach to addressing the mass transfer challenges in ionic liquids, serving as a viable alternative to the complex designs of electrochemical sensors. As an approach to enhance mass transfer in microdroplets, we believe that the microstirring strategy is not limited to gas sensors. With advances in miniaturization of electromagnetic devices, it holds promise for a variety of sensing schemes.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-11-26
DOI
https://doi.org/10.1021/acsami.5c13695
Citations
1
Primary Topic
Ionic liquids properties and applications
Type
article
Field-Weighted Citation Impact
0.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving Electrochemical Sensing in Ionic Liquid Droplets via Microscale Stirring

Fei Yang, Xueyang Liu, Yuying Yang, Xue Xing et al.
1 citations
ACS Applied Materials & Interfaces
Ionic liquids properties and applications
0.39
article

Improving Electrochemical Sensing in Ionic Liquid Droplets via Microscale Stirring

Fei Yang, Xueyang Liu, Yuying Yang, Xue Xing, Xiao Xiao, Guodong Yang, Hongyu Chen
article en
1 citations

Abstract

In the field of ionic-liquid-based electrochemical gas sensors, the high viscosity of ionic liquids leads to slow mass transfer, restricting sensor performance. In this study, microstirbars with tunable sizes were fabricated via wet spinning. Using fluorescent dye as a tracer, these microstirbars homogeneously dispersed the dye in a droplet of ionic liquid within 2 min, nearly 200 times faster than the control group without stirring. When using ferrocene as a model reactant in chronoamperometry, the microstirbars enhanced the mass transfer process and the best stirring conditions (400 rpm, 8.0 wt %, <i>l</i> = 300 μm) were determined. When these optimized conditions were applied to oxygen detection, the results showed that the sensor sensitivity reached 0.63 μA·%<sup>-1</sup>, on par with the best performing gas sensors in the literature and 6 times higher than the control group without stirring. The stirred sensor achieved <i>T</i><sub>90</sub> of 7.0 s for 6.7% O<sub>2</sub>, three times faster than that of the control group without stirring (21 s). This study presents a straightforward approach to addressing the mass transfer challenges in ionic liquids, serving as a viable alternative to the complex designs of electrochemical sensors. As an approach to enhance mass transfer in microdroplets, we believe that the microstirring strategy is not limited to gas sensors. With advances in miniaturization of electromagnetic devices, it holds promise for a variety of sensing schemes.

ACS Applied Materials & InterfacesVol. 17(49)
Nanjing Tech University (CN), Westlake University (CN), Institute of Natural Science (KP), The Synergetic Innovation Center for Advanced Materials (CN)
Openalex Percentile: Top 36%
Ionic liquids properties and applications
0.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.