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Laser-Induced Fluorescence for Monitoring Environmental Contamination and Stress in the Moss Thuidium plicatile
Kelly Truax1, Henrietta Dulai1, Anupam Misra1
1Department of Earth Sciences, University of Hawai'i at Mānoa, Honolulu, HI 96822, USA.
Plants (Basel, Switzerland)
|September 9, 2023
Summary
This study introduces a non-invasive method using laser-induced fluorescence (LIF) in moss to detect heavy metal contamination. The technique accurately identifies copper, zinc, and lead by analyzing color shifts in moss fluorescence images.
Area of Science:
- Environmental Science
- Biotechnology
- Analytical Chemistry
Background:
- Detecting heavy metal and radionuclide contaminants is crucial for environmental monitoring and remediation.
- Vegetation, like moss, can act as bioindicators for pollution, but traditional sampling is labor-intensive.
- Non-invasive in-situ techniques offer efficient alternatives for assessing plant health and environmental stressors.
Purpose of the Study:
- To develop and validate a non-invasive method for identifying and quantifying heavy metal contamination in moss using laser-induced fluorescence (LIF).
- To assess the efficacy of image analysis of LIF responses for detecting specific metals (Cu, Zn, Pb) and differentiating them from other environmental stressors.
Main Methods:
- Utilized laser-induced fluorescence (LIF) imaging on moss samples exposed to various contaminants.
- Employed image processing techniques, specifically analyzing RGB values to create density histograms of color channels.
- Correlated histogram color shifts with the presence and type of metal contaminants at nmol/cm2 levels.
Main Results:
- Successfully identified copper (Cu), zinc (Zn), and lead (Pb) contamination in moss using LIF imaging and histogram analysis.
- Achieved detection levels in the nmol/cm2 range, demonstrating high sensitivity.
- Found that photoperiod and other environmental stressors had minimal impact on the histogram color shift compared to metal contamination, allowing for clear differentiation.
Conclusions:
- Laser-induced fluorescence (LIF) coupled with image processing provides a robust, non-invasive method for detecting and identifying heavy metal contamination in moss.
- This technique offers a cost-effective and efficient alternative to traditional sampling methods for environmental monitoring.
- The distinct spectral responses to metals allow for specific contaminant identification, even in the presence of other environmental factors.
