Laser Induced Graphene Sensors for Glyphosate Detection with IoT Integration
The development of cost-effective analytical platforms for continuous monitoring of chemical and biological substances is essential for environmental management and the agroindustry. This study presents an Internet of Things (IoT)-based platform for electrochemical sensors, integrating laser-induced graphene (LIG) sensors, a portable potentiostat, and a wireless data transmission system. The platform demonstrated high sensitivity and specificity in detecting glyphosate, a widely used herbicide associated with environmental and health risks. Comparative studies with a commercial potentiostat validated the system’s performance, highlighting its competitiveness both in electronic and economic terms. The results underscore its potential for environmental contamination control and other critical monitoring applications.
Authors
- Betty Braga Gallo (ORCID: https://orcid.org/0000-0001-8759-5649)
- Bruno Vasconcellos Lopes (ORCID: https://orcid.org/0000-0003-0748-0329)
- L. Zebrowski
- Andrei Borges La Rosa (ORCID: https://orcid.org/0000-0002-7297-6120)
- Neftalı́ Lenin Villarreal Carreño (ORCID: https://orcid.org/0000-0002-5780-817X)
- Adenauer Yamin (ORCID: https://orcid.org/0000-0002-7333-244X)
Institutions
- Universidade Federal de Pelotas (BR)
Publication Details
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1109/lciot64881.2025.11118509
- Primary Topic
- Privacy-Preserving Technologies in Data
- Type
- article
- Field-Weighted Citation Impact
- 0.00