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Paper-Based Multiplex Sensors for the Optical Detection of Plant Stress
The rising population and the ongoing climate crisis call for improved means to monitor and optimise agriculture. A promising approach to tackle current challenges in food production is the early diagnosis of plant diseases through non-invasive methods, such as the detection of volatiles. However, c...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968015/ https://www.ncbi.nlm.nih.gov/pubmed/36838015 http://dx.doi.org/10.3390/mi14020314 |
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author | Zedler, Marie Tse, Sze Wai Ruiz-Gonzalez, Antonio Haseloff, Jim |
author_facet | Zedler, Marie Tse, Sze Wai Ruiz-Gonzalez, Antonio Haseloff, Jim |
author_sort | Zedler, Marie |
collection | PubMed |
description | The rising population and the ongoing climate crisis call for improved means to monitor and optimise agriculture. A promising approach to tackle current challenges in food production is the early diagnosis of plant diseases through non-invasive methods, such as the detection of volatiles. However, current devices for detection of multiple volatiles are based on electronic noses, which are expensive, require complex circuit assembly, may involve metal oxides with heating elements, and cannot easily be adapted for some applications that require miniaturisation or limit front-end use of electronic components. To address these challenges, a low-cost optoelectronic nose using chemo-responsive colorimetric dyes drop-casted onto filter paper has been developed in the current work. The final sensors could be used for the quantitative detection of up to six plant volatiles through changes in colour intensities with a sub-ppm level limit of detection, one of the lowest limits of detection reported so far using colorimetric gas sensors. Sensor colouration could be analysed using a low-cost spectrometer and the results could be processed using a microcontroller. The measured volatiles could be used for the early detection of plant abiotic stress as early as two days after exposure to two different stresses: high salinity and starvation. This approach allowed a lowering of costs to GBP 1 per diagnostic sensing paper. Furthermore, the small size of the paper sensors allows for their use in confined settings, such as Petri dishes. This detection of abiotic stress could be easily achieved by exposing the devices to living plants for 1 h. This technology has the potential to be used for monitoring of plant development in field applications, early recognition of stress, implementation of preventative measures, and mitigation of harvest losses. |
format | Online Article Text |
id | pubmed-9968015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99680152023-02-27 Paper-Based Multiplex Sensors for the Optical Detection of Plant Stress Zedler, Marie Tse, Sze Wai Ruiz-Gonzalez, Antonio Haseloff, Jim Micromachines (Basel) Article The rising population and the ongoing climate crisis call for improved means to monitor and optimise agriculture. A promising approach to tackle current challenges in food production is the early diagnosis of plant diseases through non-invasive methods, such as the detection of volatiles. However, current devices for detection of multiple volatiles are based on electronic noses, which are expensive, require complex circuit assembly, may involve metal oxides with heating elements, and cannot easily be adapted for some applications that require miniaturisation or limit front-end use of electronic components. To address these challenges, a low-cost optoelectronic nose using chemo-responsive colorimetric dyes drop-casted onto filter paper has been developed in the current work. The final sensors could be used for the quantitative detection of up to six plant volatiles through changes in colour intensities with a sub-ppm level limit of detection, one of the lowest limits of detection reported so far using colorimetric gas sensors. Sensor colouration could be analysed using a low-cost spectrometer and the results could be processed using a microcontroller. The measured volatiles could be used for the early detection of plant abiotic stress as early as two days after exposure to two different stresses: high salinity and starvation. This approach allowed a lowering of costs to GBP 1 per diagnostic sensing paper. Furthermore, the small size of the paper sensors allows for their use in confined settings, such as Petri dishes. This detection of abiotic stress could be easily achieved by exposing the devices to living plants for 1 h. This technology has the potential to be used for monitoring of plant development in field applications, early recognition of stress, implementation of preventative measures, and mitigation of harvest losses. MDPI 2023-01-26 /pmc/articles/PMC9968015/ /pubmed/36838015 http://dx.doi.org/10.3390/mi14020314 Text en © 2023 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 Zedler, Marie Tse, Sze Wai Ruiz-Gonzalez, Antonio Haseloff, Jim Paper-Based Multiplex Sensors for the Optical Detection of Plant Stress |
title | Paper-Based Multiplex Sensors for the Optical Detection of Plant Stress |
title_full | Paper-Based Multiplex Sensors for the Optical Detection of Plant Stress |
title_fullStr | Paper-Based Multiplex Sensors for the Optical Detection of Plant Stress |
title_full_unstemmed | Paper-Based Multiplex Sensors for the Optical Detection of Plant Stress |
title_short | Paper-Based Multiplex Sensors for the Optical Detection of Plant Stress |
title_sort | paper-based multiplex sensors for the optical detection of plant stress |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968015/ https://www.ncbi.nlm.nih.gov/pubmed/36838015 http://dx.doi.org/10.3390/mi14020314 |
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