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A Water-Gated Organic Thin-Film Transistor for Glyphosate Detection: A Comparative Study with Fluorescence Sensing
Yui Sasaki1, Koichiro Asano1, Tsukuru Minamiki1
1Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan.
Chemistry (Weinheim an Der Bergstrasse, Germany)
|August 18, 2020
Summary
A novel water-gated organic thin-film transistor (WG-OTFT) sensor detects the herbicide glyphosate (GlyP) with high sensitivity. This solid-state device offers a more effective method for detecting GlyP in water compared to traditional sensors.
Area of Science:
- Materials Science
- Analytical Chemistry
- Environmental Science
Background:
- Glyphosate (GlyP) is a widely used herbicide requiring sensitive detection methods.
- Conventional fluorescence sensor chips have limitations in sensitivity for GlyP detection.
- Organic thin-film transistors (OTFTs) offer potential for developing novel solid-state sensors.
Purpose of the Study:
- To design and demonstrate a highly sensitive solid-state sensor for selective glyphosate detection in water.
- To investigate the sensing mechanism involving molecular recognition and electrical double layer effects.
- To compare the performance of the developed sensor with conventional methods.
Main Methods:
- Fabrication of a water-gated organic thin-film transistor (WG-OTFT) device.
- Utilizing a competitive assay with carboxylate-functionalized polythiophene, Cu2+, and GlyP.
- Exploiting field-effect phenomena and electrical double layer (EDL) interactions for signal amplification.
Main Results:
- The WG-OTFT sensor achieved a low limit of detection for GlyP (0.26 ppm).
- This sensitivity surpasses that of conventional fluorescence sensor chips (0.95 ppm).
- Molecular aggregates under field-effect demonstrated enhanced sensitivity through intra- and inter-molecular wire effects.
Conclusions:
- The developed WG-OTFT sensor provides a highly sensitive and selective method for glyphosate detection.
- The study highlights a novel strategy for amplifying sensitivity in polymer-based solid-state sensors.
- This approach could lead to improved environmental monitoring and water quality assessment tools.

