Application of a Smartphone-based SPR platform for Glyphosate detection

Glyphosate is widely used in the control of agricultural crops due to its high efficiency in weed removal. Pertaining to Class IV pesticides, which classify the herbicides of low toxicity, current studies prove that glyphosate can cause acute and chronic damage to human health. The search for simple...

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Bibliographic Details
Published in:	2019 IEEE Sensors Applications Symposium (SAS) pp. 1 - 6
Main Authors:	Silva Freire, Carmonizia da, da Silva Moreira, Cleumar, de Souza Filho, Carlos Alberto, Moreno Santa Cruz, Rossana, Falqueto, Alessandro, Valle, Anderson Luis, Goulart Filho, Luiz Ricardo, Souto de Medeiros, Eliton, Nascimento Ferreira, Kaline do
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-03-2019
Subjects:	Biochip Biomedical optical imaging Biosensor Biosensors Cameras Glyphosate Optical fiber sensors Optical surface waves Smartphone SPR Surface plasmons
Online Access:	Get full text
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Summary:	Glyphosate is widely used in the control of agricultural crops due to its high efficiency in weed removal. Pertaining to Class IV pesticides, which classify the herbicides of low toxicity, current studies prove that glyphosate can cause acute and chronic damage to human health. The search for simpler methods for its detection and quantification is still a challenge. Current detection technologies require expensive resources, as well as making it impossible to detect them in the field in real time. This work presents the studies aimed at the application of a multi-analytical and portable analysis platform for the detection of glyphosate, seeking the possibility of its day-to-day detection in a simple, effective and real-time way. The platform used in this work is a Smartphone-based SPR (Surface Plasmon Resonance) Biosensor Device that transforms a commercial portable computing device into an effective tool for analyzing substances, aiding traditional methods and allowing them to be applied in difficult access locations in real time.
DOI:	10.1109/SAS.2019.8706024