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Identification of Two Commercial Pesticides by a Nanoparticle Gas-Sensing Array

This study presents the experimental testing of a gas-sensing array, for the detection of two commercially available pesticides (i.e., Chloract 48 EC and Nimrod), towards its eventual use along a commercial smart-farming system. The array is comprised of four distinctive sensing devices based on nan...

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Autores principales: Skotadis, Evangelos, Kanaris, Aris, Aslanidis, Evangelos, Kalatzis, Nikos, Chatzipapadopoulos, Fotis, Marianos, Nikolaos, Tsoukalas, Dimitris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433924/
https://www.ncbi.nlm.nih.gov/pubmed/34502694
http://dx.doi.org/10.3390/s21175803
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author Skotadis, Evangelos
Kanaris, Aris
Aslanidis, Evangelos
Kalatzis, Nikos
Chatzipapadopoulos, Fotis
Marianos, Nikolaos
Tsoukalas, Dimitris
author_facet Skotadis, Evangelos
Kanaris, Aris
Aslanidis, Evangelos
Kalatzis, Nikos
Chatzipapadopoulos, Fotis
Marianos, Nikolaos
Tsoukalas, Dimitris
author_sort Skotadis, Evangelos
collection PubMed
description This study presents the experimental testing of a gas-sensing array, for the detection of two commercially available pesticides (i.e., Chloract 48 EC and Nimrod), towards its eventual use along a commercial smart-farming system. The array is comprised of four distinctive sensing devices based on nanoparticles, each functionalized with a different gas-absorbing polymeric layer. As discussed herein, the sensing array is able to identify as well as quantify three gas-analytes, two pesticide solutions, and relative humidity, which acts as a reference analyte. All of the evaluation experiments were conducted in close to real-life conditions; specifically, the sensors response towards the three analytes was tested in three relative humidity backgrounds while the effect of temperature was also considered. The unique response patterns generated after the exposure of the sensing-array to the two gas-analytes were analyzed using the common statistical analysis tool Principal Component Analysis (PCA). The sensing array, being compact, low-cost, and highly sensitive, can be easily integrated with pre-existing crop-monitoring solutions. Given that there are limited reports for effective pesticide gas-sensing solutions, the proposed gas-sensing technology would significantly upgrade the added-value of the integrated system, providing it with unique advantages.
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spelling pubmed-84339242021-09-12 Identification of Two Commercial Pesticides by a Nanoparticle Gas-Sensing Array Skotadis, Evangelos Kanaris, Aris Aslanidis, Evangelos Kalatzis, Nikos Chatzipapadopoulos, Fotis Marianos, Nikolaos Tsoukalas, Dimitris Sensors (Basel) Article This study presents the experimental testing of a gas-sensing array, for the detection of two commercially available pesticides (i.e., Chloract 48 EC and Nimrod), towards its eventual use along a commercial smart-farming system. The array is comprised of four distinctive sensing devices based on nanoparticles, each functionalized with a different gas-absorbing polymeric layer. As discussed herein, the sensing array is able to identify as well as quantify three gas-analytes, two pesticide solutions, and relative humidity, which acts as a reference analyte. All of the evaluation experiments were conducted in close to real-life conditions; specifically, the sensors response towards the three analytes was tested in three relative humidity backgrounds while the effect of temperature was also considered. The unique response patterns generated after the exposure of the sensing-array to the two gas-analytes were analyzed using the common statistical analysis tool Principal Component Analysis (PCA). The sensing array, being compact, low-cost, and highly sensitive, can be easily integrated with pre-existing crop-monitoring solutions. Given that there are limited reports for effective pesticide gas-sensing solutions, the proposed gas-sensing technology would significantly upgrade the added-value of the integrated system, providing it with unique advantages. MDPI 2021-08-28 /pmc/articles/PMC8433924/ /pubmed/34502694 http://dx.doi.org/10.3390/s21175803 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Skotadis, Evangelos
Kanaris, Aris
Aslanidis, Evangelos
Kalatzis, Nikos
Chatzipapadopoulos, Fotis
Marianos, Nikolaos
Tsoukalas, Dimitris
Identification of Two Commercial Pesticides by a Nanoparticle Gas-Sensing Array
title Identification of Two Commercial Pesticides by a Nanoparticle Gas-Sensing Array
title_full Identification of Two Commercial Pesticides by a Nanoparticle Gas-Sensing Array
title_fullStr Identification of Two Commercial Pesticides by a Nanoparticle Gas-Sensing Array
title_full_unstemmed Identification of Two Commercial Pesticides by a Nanoparticle Gas-Sensing Array
title_short Identification of Two Commercial Pesticides by a Nanoparticle Gas-Sensing Array
title_sort identification of two commercial pesticides by a nanoparticle gas-sensing array
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433924/
https://www.ncbi.nlm.nih.gov/pubmed/34502694
http://dx.doi.org/10.3390/s21175803
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