High efficiency phytoextraction of uranium using <i>Vetiveria zizanioides</i> L. Nash

Pentyala, Venu-Babu; Eapen, Susan

doi:10.1080/15226514.2020.1741506

Cited by 19 publications

(3 citation statements)

References 51 publications

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“…Its translocation in the upper parts of the plants, including Sesbania rostrata 106 , Water lily 107 , Bidens pilosa L 108 depends on the potential of U in soil and gene expression in plants [109][110][111] . Generally, the translocation of U from roots to the upper part of plants depends on three mechanisms, i.e., sequestration into root cells, symplastic transport among the central part of the plants, and its release through xylem [112][113][114] . Uranium is transported after the formation of U chelates, i.e., UO 2 -citrate-and UO 2lactate in xylem tissues 111 .…”

Section: Root To Shoot Parts Translocationmentioning

confidence: 99%

Uranium Sources, Uptake, Translocation in the soil-plant System and Its Toxicity in Plants and Humans: A Critical Review

et al. 2023

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Uranium(U) is one of the highly toxic heavy metals and radionuclides that has become a major threat to soil health. There are two types of sources of Uranium in the soil system, natural and anthropogenic. Natural sources of uranium include rock systems and volcanic eruptions while anthropogenic sources include mining activities, disposal of radioactive waste, application of phosphate fertilizers, etc. Uranium accumulation impacts germination, early seedling growth, photosynthesis, metabolic and physiological processes of the plants. Through its accumulation in the aerial parts of the plants, Uranium finds its way to the human body, where it has deleterious health impacts. Different studies have identified the various sources of Uranium, explored, and explained the geochemistry of Uranium in soil, assessed the Uranium uptake and toxicity to the plants, and further studied the impact on human health. Most studies focused on two stages, either soil-plant or plant-human system. However, few studies have critically reviewed and summarized the U in the soil-plant-human system. Thus, the review has been designed to focus on the sources, geochemical behaviour, uptake, and translocation, plant toxicity, food chain entry, and finally, impact on human health. The relationship between the bioavailability of Uranium in the soil-plant system with soil properties like pH, Organic matter, and microorganisms have also been included. The study is further intensified by analyzing the accumulation of Uranium in various parts of the plants.

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Section: Root To Shoot Parts Translocationmentioning

confidence: 99%

Uranium Sources, Uptake, Translocation in the soil-plant System and Its Toxicity in Plants and Humans: A Critical Review

et al. 2023

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“…Uranium is one of the vital and core raw materials for nuclear reactor, and the demand for key strategic resource of uranium keeps increasing along with the rapid nuclear industrial development 2 . On the other hand, uranium is chemically toxic and radioactive, and human beings exposure to uranium may result in significant harm such as kidney damage, lung cancer, genetic diseases, urinary system ailments, and even death 3–5 . Unfortunately, a large amount of uranium has been inevitably released into the environment due to spent fuel reprocessing, uranium mining, nuclear experiment and research, nuclear accident, and so on 6 .…”

Section: Introductionmentioning

confidence: 99%

Preparation, characterization, and application of stable naphthalenediimide‐based metal–organic framework for cooperative capture low concentration uranium from wastewater

Zhao,

Li,

Liao

et al. 2023

Env Prog and Sustain Energy

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Extracting uranium from real water samples remains a great challenge due to low uranium concentration, concentrated competing ions and volumes of water. The design and preparation of uranium adsorbents with high efficiency and affinity are still difficult. Herein, we presented a facile one‐pot strategy to obtain a novel metal organic framework (denoted as Mn‐NDISA) for stable and efficient trapping of low concentration uranium. Mn‐NDISA with a built‐in hydrophobic cavity can boost the absorption affinity to 1.99 × 106 mL g−1 through the cooperative capture composed of electrostatic interaction, coordination force and hydrogen binding. Owing to the coordination‐available oxygen sites in flexible framework, a rapid kinetic equilibrium was achieved in just 25 min. Moreover, these exceptional adsorption features enabled Mn‐NDISA to successfully capture the naturally occurring uranium traces (~ppb) in wastewater samples, making it one of the most influential absorbents toward UO22+ ever reported. The experimental and theoretical studies revealed that the electrostatic attraction came from the surface negatively charged Mn‐NDISA and the positively charged UO22+. The coordination originated from Lewis basic hydroxyl, carbonyl groups, and Lewis acid UO22+, while hydrogen bonds further reinforced the as‐formed uranium binding complex. This research offered a promising cooperative capture strategy to improve the uranium affinity of the pristine MOF for trace contaminants removal in environmental remediation fields.

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“…However, the current concept of stabilization of tailings ponds in China only considers their mechanical properties and uses only the mechanical stability of tailings dams as a criterion for judging the safety or otherwise of uranium tailings ponds, which obviously can no longer meet the needs of ecological and environmental protection and sustainable development of uranium tailings pond decommissioning management [ 1 ]. From the perspective of protecting the ecological environment and safeguarding the safety of public life and property, it is of great significance to analyze and study the stabilization process and stable state of decommissioned uranium tailings ponds [ 2 ]. Therefore, it can better reflect the objective existence of ambiguity.…”

Section: Introductionmentioning

confidence: 99%

Application Analysis of Radial Basis Function Neural Network Algorithm of Genetic Algorithm for Environmental Restoration and Treatment Effect Evaluation of Decommissioned Uranium Tailings Ponds

Wei

Xiong

et al. 2021

Computational Intelligence and Neuroscience

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A new analysis method for the environmental stability of uranium tailing ponds is established in this paper, and the stability intervals and environmental stability rates of indicators are defined in precise mathematical language and analyzed with examples. The results show that the overall environmental stability of this uranium tailings pond is still in a poor state after the first phase of decommissioning treatment, and special decommissioning treatment should be carried out for factors such as pH and radionuclides Po and Pb. Using the powerful nonlinear mapping function of the artificial neural network, a radial basis function neural network algorithm was constructed to predict the environmental stability of the uranium tailing pond. It provides a new feasible method for the comprehensive evaluation technology of uranium tailings ponds. Accuracy in DOA Estimation. The research work in this paper mainly analyzed the environmental stabilization process and stability of decommissioned uranium tailings ponds, proposed a new concept of environmental stability with ecological and environmental protection concepts and gave it a new connotation, established an environmental stability evaluation index system for decommissioned uranium tailings ponds through index screening by using rough set theory, comprehensively considered the influence of environmental factors such as external wastewater and exhaust gas, and realized the multifactor. The system of evaluation indexes for the stability of decommissioned uranium tailings ponds was established by combining multiple factors, and the long-term monitoring and modeling of the environmental stabilization process of decommissioned uranium tailings ponds was carried out by using mathematical methods. The results show that the RBFNN-GA algorithm can reduce the training error of the random radial basis function neural network, improve the generalization ability of the network, and make it capable of handling large data sets.

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High efficiency phytoextraction of uranium using Vetiveria zizanioides L. Nash

Cited by 19 publications

References 51 publications

Uranium Sources, Uptake, Translocation in the soil-plant System and Its Toxicity in Plants and Humans: A Critical Review

Uranium Sources, Uptake, Translocation in the soil-plant System and Its Toxicity in Plants and Humans: A Critical Review

Preparation, characterization, and application of stable naphthalenediimide‐based metal–organic framework for cooperative capture low concentration uranium from wastewater

Application Analysis of Radial Basis Function Neural Network Algorithm of Genetic Algorithm for Environmental Restoration and Treatment Effect Evaluation of Decommissioned Uranium Tailings Ponds

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