A review: Water pollution by heavy metal and organic pollutants: Brief review of sources, effects and progress on remediation with aquatic plants

Obinna, Isiuku Beniah; Enyoh, Christian Ebere

doi:10.24200/amecj.v2.i03.66

Cited by 91 publications

(26 citation statements)

References 110 publications

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“…Aquatic plants could be used as bioindicators of BPA toxicity [27]. In this sense, Cymodocea nodosa (Ucria) Ascherson 1870, one of the five most widespread Mediterranean seagrass species [28] and belonging to the taxonomic families required for the determination of a Species Sensitivity Distribution (SSD) (EU Technical Guidance Document of the European Union (EU), 2003) [29], can act as one BPA "bioindicator" organism [25].…”

Section: Introductionmentioning

confidence: 99%

The Enzymatic and Non-Enzymatic Antioxidant System Response of the Seagrass Cymodocea nodosa to Bisphenol-A Toxicity

Malea

Kokkinidi

Kevrekidou

et al. 2022

IJMS

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The effects of environmentally relevant bisphenol A (BPA) concentrations (0.3, 1 and 3 μg L−1) were tested at 2, 4, 6 and 8 days, on intermediate leaves, of the seagrass Cymodocea nodosa. Hydrogen peroxide (H2O2) production, lipid peroxidation, protein, phenolic content and antioxidant enzyme activities were investigated. Increased H2O2 formation was detected even at the lowest BPA treatments from the beginning of the experiment and both the enzymatic and non-enzymatic antioxidant defense mechanisms were activated upon application of BPA. Elevated H2O2 levels that were detected as a response to increasing BPA concentrations and incubation time, led to the decrease of protein content on the 4th day even at the two lower BPA concentrations, and to the increase of the lipid peroxidation at the highest concentration. However, on the 6th day of BPA exposure, protein content did not differ from the control, indicating the ability of both the enzymatic and non-enzymatic mechanisms (such as superoxide dismutase (SOD) and phenolics) to counteract the BPA-derived oxidative stress. The early response of the protein content determined that the Low Effect Concentration (LOEC) of BPA is 0.3 μg L−1 and that the protein content meets the requirements to be considered as a possible early warning “biomarker” for C. nodosa against BPA toxicity.

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Section: Introductionmentioning

confidence: 99%

The Enzymatic and Non-Enzymatic Antioxidant System Response of the Seagrass Cymodocea nodosa to Bisphenol-A Toxicity

Malea

Kokkinidi

Kevrekidou

et al. 2022

IJMS

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“…Removing these chemicals from water resources or wa s tewater before they are released into the environment is essential to prevent potential harm to humans and ecosy s tems. Various methods are available for removing PCP and TCP from water, including biological and physicochemical approaches such as photochemi s try, air s tripping, incineration, and adsorption technologies using activated clay and plant-based carbons [7]. While some of these methods are effective, they can be challenging to implement.…”

Section: Introductionmentioning

confidence: 99%

“…While some of these methods are effective, they can be challenging to implement. Using aquatic plants for wa s tewater treatment is a newer method for removing pollutants, and s tudies have shown that it can be effective when using con s tructed wetlands, pilot-scale sy s tems, or hydroponic setups [7]. The efficiency of plantbased treatment sy s tems can vary depending on the specific plant species and their productivity.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network and Response Surface Design for Modeling the Competitive Biosorption of Pentachlorophenol and 2,4,6-Trichlorophenol to Canna indica L. in Aquaponia

Enyoh

Ovuoraye

Isiuku

et al. 2023

Anal. Method Environ. Chem. J.

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The continuous exposure of the environment to carcinogenic wastes and toxic chlorophenols such as pentachlorophenol (PCP) and 2,4,6-trichlorophenol (TCP) resulting from industrial production activities is become a great concern. The search for cost efficient and ecofriendly approach to phytoremediation of water will guarantee sustainability. The present research work is concerned with cost benefit evaluation, and the optimization modeling of the competitive biosorption of PCP and TCP from aqueous solution to Cana indica. L (CiL-plant) using response surface methodology (RSM) and artificial neural network (ANN) model. The predictive performances of the ANN model and the RSM were compared based on their statistical metrics. The antagonistic and synergetic effect of significant biosorption variables (pH, initial concentration, and exposure time) on the biosorption process were studied at p-values ≤0.005. The optimized output transcends to PCP and TCP removal rates of 90% and 87.99% efficiencies at predicted r-squared ≤0.9999, at 95% confidence interval. The cost benefit evaluation established that at the optimum conditions, the cost of operating the removal of TCP from aqueous solution will save $ 7.72 compared to PCP. The reliability of the optimization model based on design of experiment was proven to be more sustainable compared to the one-factor-at-a-time methodologies.

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“…Ahmed Shahid studied water pollution and its source, impact and management through a case study in Delhi [2]. Obinna Isiuku Beniah briefly reviewed the source, impact and progress in the use of aquatic plants for remediation of water pollution caused by heavy metals and organic pollutants [3]. Mekonnen Mesfin M discussed the phosphorus load of global human activities on fresh water and the related gray water footprint and water pollution level [4].…”

Section: Introductionmentioning

confidence: 99%

Improved BP Algorithm Incorporating Genetic Algorithm for Water Pollution Prevention and Warning Application

2020

WPPCP

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In recent years, with the accelerated urbanization and industrial development, a large number of water pollution events have occurred in many regions, which have had a significant impact not only on the environment and socio-economics, but also on water quality. In this paper, the improved BP (back propagation) algorithm of genetic algorithm was used to improve the early warning system for water pollution prevention and control. This paper first introduced the current status of water resources monitoring and early warning mechanisms and the causes of sewage generation, followed by the transmission algorithm and the improved BP algorithm. Then the water pollution prevention and early warning system was designed by combining the two and the application effect was analyzed. It was found that the timeliness of water pollution early warning could be greatly improved after using the fused genetic algorithm and the improved BP algorithm. The water pollution prevention efficiency of water intake 1 was the highest, and its water pollution prevention efficiency was improved by 29% after adopting the water pollution prevention early warning system with fused genetic algorithm and improved BP algorithm. At present, the water pollution prevention and early warning system is more widely used, so the improved BP algorithm of genetic algorithm can be combined to improve the water pollution prevention and early warning effect.

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A review: Water pollution by heavy metal and organic pollutants: Brief review of sources, effects and progress on remediation with aquatic plants

Cited by 91 publications

References 110 publications

The Enzymatic and Non-Enzymatic Antioxidant System Response of the Seagrass Cymodocea nodosa to Bisphenol-A Toxicity

The Enzymatic and Non-Enzymatic Antioxidant System Response of the Seagrass Cymodocea nodosa to Bisphenol-A Toxicity

Artificial Neural Network and Response Surface Design for Modeling the Competitive Biosorption of Pentachlorophenol and 2,4,6-Trichlorophenol to Canna indica L. in Aquaponia

Improved BP Algorithm Incorporating Genetic Algorithm for Water Pollution Prevention and Warning Application

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