Identification and Screening of Trace and Multityped Solvents Using Transpiration-Driven Electrokinetic Generation Principle

Identification and Screening of Trace and Multityped Solvents Using Transpiration-Driven Electrokinetic Generation Principle

Transpiration-driven electrokinetic power generators (TEPGs) hold promising potential for intelligent chemical sensing applications, enabling the efficient identification and screening of organic solvents. Here, we report a novel TEPG-based chemical sensor using MoS<sub>2</sub>-doped cel...

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Bibliographic Details
Main Author: Wenli Gao (245749) (author)
Other Authors: Mengfei Yu (3965591) (author), Leitao Cao (3210576) (author), Piao Wen (9293390) (author), Yi Sun (118759) (author), Jing Ren (107777) (author), Shengjie Ling (1308006) (author)
Published: 2025
Subjects:
Biophysics
Pharmacology
Biotechnology
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Physical Sciences not elsewhere classified
Information Systems not elsewhere classified
sensor achieves real
offering another pathway
machine learning algorithms
induce solvent flow
traditional detection methods
advanced solvent detection
mechanical transpiration energy
electrical double layers
hold promising potential
efficient detection
electrical signals
driven transpiration
potential difference
broad potential
time classification
process generates
porous materials
operational adaptability
leveraging capillary
iot technologies
ion migration
industrial applications
environmental monitoring
classification systems
biomedical fields
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