Sara V. Ristić1, Miloš S. Mošić1, Marija M. Petković Benazzouz1, Stefan Lekić2, Katarina M. Miletić1*
1University of Belgrade, Faculty of Physics, Studentski trg 12-16, 11001 Belgrade, Serbia, sara.ristic.f@gmail.com, milos.mosic@ff.bg.ac.rs, marijapetkovic@ff.bg.ac.rs, katarinamiletic@ff.bg.ac.rs
2University of Belgrade, Institute of Chemistry, Technology and Metallurgy, Njegoševa 12, 11000 Belgrade, Serbia, stefan.lekic@ihtm.bg.ac.rs
ORIGINAL SCIENTIFIC PAPER
ISSN 2637-2150
e-ISSN 2637-2614
UDK 616.831-085.4:582.573.16
DOI 10.7251/STED2401015M
COBISS.RS-ID 141778945
Received: 18 July 2024.
Accepted: 01 November 2024.
Published: 29 November 2024.
http://stedj-univerzitetpim.com
Corresponding Author:
Katarina M. Miletić, University of Belgrade, Faculty of Physics, Studentski trg 12-16, 11001 Belgrade, Serbia, katarinamiletic@ff.bg.ac.rs
Copyright © 2024 Sara V. Ristić, et al.; published by UNIVERSITY PIM. This work licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 4.
Citation:
Ristić, S.V., Mošić, M.S., Petković Benazzouz, M.M., Lekić, S., & Katarina, M.M. (2024). Advancing plant metabolism analysis: a real-time optical approach, insights from Variesea carinata Wawra. STED Journal, 6(2), 1-9.
ABSTRACT
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.
Keywords: Plant metabolism, Circadian rhythm, Non-destructive method, Real-time optical approach, Stress detection.
