4.7 Article

Effects of environmental parameters on Lemna minor growth: An integrated experimental and modelling approach

Journal

JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 300, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2021.113705

Keywords

Growth model; Lemna minor; Light intensity; Nutrient composition; Remediation; Temperature

Funding

  1. Belgian Nuclear Research Centre (SCK CEN)

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Pollution of surface waters is a global issue, and phytoremediation using duckweed as a solution is under investigation. A growth model for duckweed was optimized and validated for potential application in remediation of contaminated water, with parameters such as temperature, light intensity, photoperiod, and nutrient concentrations being studied.
Pollution of surface waters is a worldwide problem for people and wildlife. Remediation and phytoremediation approaches can offer a solution to deal with specific scenarios. Lemna minor, commonly known as duckweed, can absorb and accumulate pollutants in its biomass. To evaluate if L. minor could be applied for phytoremediation purposes, it is necessary to further investigate its remediation capability and to identify which parameters affect the remediation process. Such a model must include both plant growth and pollutant exchange. A remediation model based on a robust experimental study can help to evaluate L. minor as a proper remediation strategy and to predict the outcome of a L. minor based remediation system. To set up this model, this paper focusses on a detailed experimental study and a comprehensive mathematical modelling approach to represent L. minor growth as a function of biomass, temperature, light irradiation and variable nutrient concentrations. The influence of environmental conditions on L. minor growth was studied, by composing 7 days growth curves. Plants were grown under predefined environmental conditions (25 degrees C, 14h photoperiod, 220 mu mol m(-2) s(-1) light intensity and a modified Hoagland solution with 23.94 mg N L-1 and 3.10 mg P L-1 (N:P ratio of 7.73)) as standard for all experiments. The influence of different temperatures (6, 10, 15, 20, 25, 30 and 35 degrees C), light intensities (63, 118, 170, 220 and 262 mu mol m(-2) s(-1)), photoperiods (12h and 14h) and N:P ratios (1.18, 3.36, 7.73 and 29.57) were tested in the model. As a result, a growth model was optimised using separate datasets for temperature, light intensity, photoperiod and nutrients and validated by further integrated testing. The growth model is a stable platform for application in phytoremediation of radionuclides in contaminated water, to be extended in future studies with information of pollutant uptake, pollutant-nutrient interactions and transfer to the biomass.

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