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Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants

BACKGROUND: Water content variation during plant growth is one of the most important monitoring parameters in plant studies. Conventional parameters (such as dry weight) are unreliable; thus, the development of rapid, accurate methods that will allow the monitoring of water content variation in live...

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Autores principales: Yang, Yunjeong, Kim, Ji Eun, Song, Hak Jin, Lee, Eun Bin, Choi, Yong-Keun, Jo, Jeong Wook, Jeon, Hyeon Jin, Kim, Ho Hyun, Kim, Kwang Jin, Kim, Hyung Joo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164761/
https://www.ncbi.nlm.nih.gov/pubmed/34051795
http://dx.doi.org/10.1186/s13007-021-00757-y
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author Yang, Yunjeong
Kim, Ji Eun
Song, Hak Jin
Lee, Eun Bin
Choi, Yong-Keun
Jo, Jeong Wook
Jeon, Hyeon Jin
Kim, Ho Hyun
Kim, Kwang Jin
Kim, Hyung Joo
author_facet Yang, Yunjeong
Kim, Ji Eun
Song, Hak Jin
Lee, Eun Bin
Choi, Yong-Keun
Jo, Jeong Wook
Jeon, Hyeon Jin
Kim, Ho Hyun
Kim, Kwang Jin
Kim, Hyung Joo
author_sort Yang, Yunjeong
collection PubMed
description BACKGROUND: Water content variation during plant growth is one of the most important monitoring parameters in plant studies. Conventional parameters (such as dry weight) are unreliable; thus, the development of rapid, accurate methods that will allow the monitoring of water content variation in live plants is necessary. In this study, we aimed to develop a non-invasive, radiofrequency-based monitoring system to rapidly and accurately detect water content variation in live plants. The changes in standing wave ratio (SWR) caused by the presence of stem water and magnetic particles in the stem water flow were used as the basis of plant monitoring systems. RESULTS: The SWR of a coil probe was used to develop a non-invasive monitoring system to detect water content variation in live plants. When water was added to the live experimental plants with or without illumination under drought conditions, noticeable SWR changes at various frequencies were observed. When a fixed frequency (1.611 GHz) was applied to a single experimental plant (Radermachera sinica), a more comprehensive monitoring, such as water content variation within the plant and the effect of illumination on water content, was achieved. CONCLUSIONS: Our study demonstrated that the SWR of a coil probe could be used as a real-time, non-invasive, non-destructive parameter for detecting water content variation and practical vital activity in live plants. Our non-invasive monitoring method based on SWR may also be applied to various plant studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-021-00757-y.
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spelling pubmed-81647612021-06-01 Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants Yang, Yunjeong Kim, Ji Eun Song, Hak Jin Lee, Eun Bin Choi, Yong-Keun Jo, Jeong Wook Jeon, Hyeon Jin Kim, Ho Hyun Kim, Kwang Jin Kim, Hyung Joo Plant Methods Methodology BACKGROUND: Water content variation during plant growth is one of the most important monitoring parameters in plant studies. Conventional parameters (such as dry weight) are unreliable; thus, the development of rapid, accurate methods that will allow the monitoring of water content variation in live plants is necessary. In this study, we aimed to develop a non-invasive, radiofrequency-based monitoring system to rapidly and accurately detect water content variation in live plants. The changes in standing wave ratio (SWR) caused by the presence of stem water and magnetic particles in the stem water flow were used as the basis of plant monitoring systems. RESULTS: The SWR of a coil probe was used to develop a non-invasive monitoring system to detect water content variation in live plants. When water was added to the live experimental plants with or without illumination under drought conditions, noticeable SWR changes at various frequencies were observed. When a fixed frequency (1.611 GHz) was applied to a single experimental plant (Radermachera sinica), a more comprehensive monitoring, such as water content variation within the plant and the effect of illumination on water content, was achieved. CONCLUSIONS: Our study demonstrated that the SWR of a coil probe could be used as a real-time, non-invasive, non-destructive parameter for detecting water content variation and practical vital activity in live plants. Our non-invasive monitoring method based on SWR may also be applied to various plant studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-021-00757-y. BioMed Central 2021-05-29 /pmc/articles/PMC8164761/ /pubmed/34051795 http://dx.doi.org/10.1186/s13007-021-00757-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Methodology
Yang, Yunjeong
Kim, Ji Eun
Song, Hak Jin
Lee, Eun Bin
Choi, Yong-Keun
Jo, Jeong Wook
Jeon, Hyeon Jin
Kim, Ho Hyun
Kim, Kwang Jin
Kim, Hyung Joo
Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants
title Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants
title_full Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants
title_fullStr Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants
title_full_unstemmed Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants
title_short Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants
title_sort methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164761/
https://www.ncbi.nlm.nih.gov/pubmed/34051795
http://dx.doi.org/10.1186/s13007-021-00757-y
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