ADVANCING PLANT METABOLISM ANALYSIS: A REAL – TIME OPTICAL APPROACH, INSIGHTS FROM VRIESEA CARINATA WAWRA
Optical detection of plant stress in real-time is crucial as it enables timely interventions to mitigate potential damage. This study presents a detailed evaluation of a system that detects changes in plant metabolism in real-time by distributing optical signals across the leaf. The methodology faci...
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University PIM Banja Luka
2024-11-01
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| Series: | STED Journal |
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| Online Access: | https://stedj-univerzitetpim.com/wp-content/uploads/2024/11/STEDJ2-2024-1_ADVANCING-PLANT-METABOLISM-ANALYSIS.pdf |
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| author | Sara V. Ristić Miloš S. Mošić Marija M. Petković Benazzouz Stefan Lekić Katarina M. Miletić |
| author_facet | Sara V. Ristić Miloš S. Mošić Marija M. Petković Benazzouz Stefan Lekić Katarina M. Miletić |
| author_sort | Sara V. Ristić |
| collection | DOAJ |
| description | Optical detection of plant stress in real-time is crucial as it enables timely interventions to mitigate potential damage. This study presents a detailed evaluation of a system that detects changes in plant metabolism in real-time by distributing optical signals across the leaf. The methodology facilitates continuous monitoring of changes in the optical properties of plant leaves through measurements of optical transmission coefficients using a 665 nm LED light signal, thereby recording the circadian rhythm over time. Given that the photosynthetic processes within the leaves are closely linked to the plant’s overall health, this system can detect stress caused by various factors and identify metabolic changes by analysing the circadian rhythm patterns of the observed plants.
For inducing metabolic changes, the plant Vriesea carinata Wawra, a verified representative of dual metabolism, was subjected to high light intensity stress. To validate the method, the collected results were compared with data obtained through chemical methods to establish a correlation between the traditional, destructive method and the non-destructive, optical method.
The findings successfully identify circadian rhythms as parameters for recognizing changes in plant metabolism, demonstrating the significance of the proposed method in researching plant physiology through the optical identification of biological processes. |
| format | Article |
| id | doaj-art-e3aec2e49d7749b8b2126cf8166dc44a |
| institution | Kabale University |
| issn | 2637-2150 2637-2614 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | University PIM Banja Luka |
| record_format | Article |
| series | STED Journal |
| spelling | doaj-art-e3aec2e49d7749b8b2126cf8166dc44a2025-01-13T12:00:38ZengUniversity PIM Banja LukaSTED Journal2637-21502637-26142024-11-01621910.7251/STED2401015MADVANCING PLANT METABOLISM ANALYSIS: A REAL – TIME OPTICAL APPROACH, INSIGHTS FROM VRIESEA CARINATA WAWRASara V. Ristić0Miloš S. Mošić1Marija M. Petković Benazzouz2Stefan Lekić3Katarina M. Miletić4University of Belgrade, Faculty of Physics, Studentski trg 12-16, 11001 Belgrade, SerbiaUniversity of Belgrade, Faculty of Physics, Studentski trg 12-16, 11001 Belgrade, SerbiaUniversity of Belgrade, Faculty of Physics, Studentski trg 12-16, 11001 Belgrade, SerbiaUniversity of Belgrade, Institute of Chemistry, Technology and Metallurgy, Njegoševa 12, 11000 Belgrade, Serbia,University of Belgrade, Faculty of Physics, Studentski trg 12-16, 11001 Belgrade, SerbiaOptical detection of plant stress in real-time is crucial as it enables timely interventions to mitigate potential damage. This study presents a detailed evaluation of a system that detects changes in plant metabolism in real-time by distributing optical signals across the leaf. The methodology facilitates continuous monitoring of changes in the optical properties of plant leaves through measurements of optical transmission coefficients using a 665 nm LED light signal, thereby recording the circadian rhythm over time. Given that the photosynthetic processes within the leaves are closely linked to the plant’s overall health, this system can detect stress caused by various factors and identify metabolic changes by analysing the circadian rhythm patterns of the observed plants. For inducing metabolic changes, the plant Vriesea carinata Wawra, a verified representative of dual metabolism, was subjected to high light intensity stress. To validate the method, the collected results were compared with data obtained through chemical methods to establish a correlation between the traditional, destructive method and the non-destructive, optical method. The findings successfully identify circadian rhythms as parameters for recognizing changes in plant metabolism, demonstrating the significance of the proposed method in researching plant physiology through the optical identification of biological processes.https://stedj-univerzitetpim.com/wp-content/uploads/2024/11/STEDJ2-2024-1_ADVANCING-PLANT-METABOLISM-ANALYSIS.pdfplant metabolismcircadian rhythmnon-destructive methodreal-time optical approachstress detection. |
| spellingShingle | Sara V. Ristić Miloš S. Mošić Marija M. Petković Benazzouz Stefan Lekić Katarina M. Miletić ADVANCING PLANT METABOLISM ANALYSIS: A REAL – TIME OPTICAL APPROACH, INSIGHTS FROM VRIESEA CARINATA WAWRA STED Journal plant metabolism circadian rhythm non-destructive method real-time optical approach stress detection. |
| title | ADVANCING PLANT METABOLISM ANALYSIS: A REAL – TIME OPTICAL APPROACH, INSIGHTS FROM VRIESEA CARINATA WAWRA |
| title_full | ADVANCING PLANT METABOLISM ANALYSIS: A REAL – TIME OPTICAL APPROACH, INSIGHTS FROM VRIESEA CARINATA WAWRA |
| title_fullStr | ADVANCING PLANT METABOLISM ANALYSIS: A REAL – TIME OPTICAL APPROACH, INSIGHTS FROM VRIESEA CARINATA WAWRA |
| title_full_unstemmed | ADVANCING PLANT METABOLISM ANALYSIS: A REAL – TIME OPTICAL APPROACH, INSIGHTS FROM VRIESEA CARINATA WAWRA |
| title_short | ADVANCING PLANT METABOLISM ANALYSIS: A REAL – TIME OPTICAL APPROACH, INSIGHTS FROM VRIESEA CARINATA WAWRA |
| title_sort | advancing plant metabolism analysis a real time optical approach insights from vriesea carinata wawra |
| topic | plant metabolism circadian rhythm non-destructive method real-time optical approach stress detection. |
| url | https://stedj-univerzitetpim.com/wp-content/uploads/2024/11/STEDJ2-2024-1_ADVANCING-PLANT-METABOLISM-ANALYSIS.pdf |
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