Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1783701184201097216 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8164761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yangyunjeong methodologynoninvasivemonitoringsystembasedonstandingwaveratiofordetectingwatercontentvariationsinplants AT kimjieun methodologynoninvasivemonitoringsystembasedonstandingwaveratiofordetectingwatercontentvariationsinplants AT songhakjin methodologynoninvasivemonitoringsystembasedonstandingwaveratiofordetectingwatercontentvariationsinplants AT leeeunbin methodologynoninvasivemonitoringsystembasedonstandingwaveratiofordetectingwatercontentvariationsinplants AT choiyongkeun methodologynoninvasivemonitoringsystembasedonstandingwaveratiofordetectingwatercontentvariationsinplants AT jojeongwook methodologynoninvasivemonitoringsystembasedonstandingwaveratiofordetectingwatercontentvariationsinplants AT jeonhyeonjin methodologynoninvasivemonitoringsystembasedonstandingwaveratiofordetectingwatercontentvariationsinplants AT kimhohyun methodologynoninvasivemonitoringsystembasedonstandingwaveratiofordetectingwatercontentvariationsinplants AT kimkwangjin methodologynoninvasivemonitoringsystembasedonstandingwaveratiofordetectingwatercontentvariationsinplants AT kimhyungjoo methodologynoninvasivemonitoringsystembasedonstandingwaveratiofordetectingwatercontentvariationsinplants |