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Potential of Hydrocotyle vulgaris for phytoremediation of a textile dye: Inducing antioxidant response in roots and leaves
- Source :
- Ecotoxicology and Environmental Safety. 93:128-134
- Publication Year :
- 2013
- Publisher :
- Elsevier BV, 2013.
-
Abstract
- The potential of Hydrocotyle vulgaris as an aquatic plant species was evaluated for phytoremediation of C.I. Basic Red 46 (BR46) from nutrient solution. Under the optimized experimental conditions, BR46 was removed up to 95% from incubation medium by H. vulgaris. The ability of the plant in consecutive removal under long term repetitive experiments confirmed the biodegradation process. Accordingly, a number of produced intermediate compounds were identified. An artificial neural network (ANN) model was developed to predict the biodegradation efficiency. A predictive performance (R(2)=0.974) was obtained based on the network results. Interestingly, dye stress enhanced the activity of antioxidant enzymes including superoxide dismutase, peroxidase and catalase in H. vulgaris roots and leaves. Enzymatic responses found to be highly depended on the plant organ and dye concentration in the liquid medium. Overall, the increase in the activity of antioxidant enzymes was much higher in the roots than in the leaves. Nevertheless, no significant increase in the malondialdehyde (MDA) content was detected in both roots and leaves which reflects the high efficiency of antioxidant system in the elimination of reactive oxygen species.
- Subjects :
- Antioxidant
Health, Toxicology and Mutagenesis
medicine.medical_treatment
Wastewater
Plant Roots
Waste Disposal, Fluid
Superoxide dismutase
Centella
chemistry.chemical_compound
Malondialdehyde
Botany
medicine
Food science
Coloring Agents
chemistry.chemical_classification
Reactive oxygen species
biology
Superoxide Dismutase
Textiles
Public Health, Environmental and Occupational Health
General Medicine
Catalase
Pollution
Plant Leaves
Phytoremediation
Biodegradation, Environmental
Models, Chemical
Peroxidases
chemistry
biology.protein
Neural Networks, Computer
Water Pollutants, Chemical
Peroxidase
Waste disposal
Subjects
Details
- ISSN :
- 01476513
- Volume :
- 93
- Database :
- OpenAIRE
- Journal :
- Ecotoxicology and Environmental Safety
- Accession number :
- edsair.doi.dedup.....27f79fd5b3f87e4def59e22b67ee06a0
- Full Text :
- https://doi.org/10.1016/j.ecoenv.2013.03.035