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Journal ArticleDOI

Enhancement of heavy metals sorption via nanocomposites of rice straw and Fe3O4 nanoparticles using artificial neural network (ANN)

TL;DR: In this article, the artificial neural network (ANN) modeling of adsorption of Pb (II) and Cu(II) was carried out for determination of the optimum values of the variables to get the maximum removal efficiency.
About: This article is published in Ecological Engineering.The article was published on 2016-06-01 and is currently open access. It has received 48 citations till now.

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Summary

  • The artificial neural network (ANN) modeling of adsorption of Pb(II) and Cu(II) was carried out for determination of the optimum values of the variables to get the maximum removal efficiency.
  • The input variables were initial ion concentration, adsorbent dosage, and removal time, while the removal efficiency was considered as output.
  • The performed experiments were designed into two data sets including training, and testing sets.
  • To acquire the optimum topologies, ANN was trained by quick propagation (QP), Batch Back Propagation (BBP), Incremental Back Propagation (IBP), genetic algorithm (GA) and Levenberg-Marquardt (LM) algorithms for testing data set.
  • The topologies were defined by the indicator of minimized root mean squared error (RMSE) for each algorithm.
  • According to the indicator, the IBP-3-9-2 was selected as the optimized topologies for heavy metal removal, due to the minimum RMSE and maximum R-squared.
  • Keyword: Artificial neural network (ANN); Adsorption; Removal efficiency;.

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Citations
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Journal ArticleDOI
TL;DR: This review presents the developments in artificial intelligence technologies for environmental pollution controls and the future challenges of AI-based models employed in the environmental fields are discussed and proposed.

124 citations

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TL;DR: The combination of pseudo-second-order rate equation and intraparticle diffusion model was applicable to explain the experimental data of ultrasound-assisted simultaneous removal of Pb2+ and MG at optimum condition obtained from RSM.

119 citations

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TL;DR: In this review, each element of the predictive models and their corresponding treatment processes, including its pros and cons, are discussed thoroughly and several research directions, which could bridge the gap in the same domain are proposed and recommended on the basis of the identified research limitations.

111 citations

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TL;DR: The citric acid functionalized magnetic graphene oxide coated corn straw as a new adsorbent was synthesized in this work for the elimination of methylene blue from waste water and reusability studies imply that CA-mGO5CS has an excellent reproducibility.

97 citations

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TL;DR: This review summarizes various AI techniques and their applications in water treatment with a focus on the adsorption of pollutants and makes recommendations to ensure the successful applications of AI in future water-related technologies.

91 citations

References
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Book
25 Sep 2003
TL;DR: In this article, the authors introduce the concept of iron oxides and their properties, including surface chemistry and Colloidal stability, as well as their properties in terms of surface area and porosity.
Abstract: 1. Introduction to the Iron Oxides. 2. Crystal Structure. 3. Cation Substitution. 4. Crystal Morphology and Size. 5. Surface Area and Porosity. 6. Electronic, Electrical and Magnetic Properties. 7. Characterization. 8. Thermodynamics. 9. Solubility. 10. Surface Chemistry and Colloidal Stability. 11. Adsorption of Ions and Molecules. 12. Dissolution. 13. Formation. 14. Transformations. 15. Rocks and Ores. 16. Soils. 17. Organisms. 18. Products of Iron Metal Corrosion. 19. Applications. 20. Synthesis. 21. Environmental Significance. References. Subject Index. Sources of Figures and Tables.

5,156 citations

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TL;DR: The heavy metal adsorption capacities for these modified cellulose materials were found to be significant and levels of uptake were comparable, in many instances, to both other naturally occurring adsorbent materials and commercial ion exchange type resins.

1,127 citations

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TL;DR: This review provides a comprehensive understanding of SPIONs with regard to their method of preparation, their utility as drug delivery vehicles, and some concerns which need to be resolved before they can be moved from bench top to bedside.
Abstract: A targeted drug delivery system is the need of the hour. Guiding magnetic iron oxide nanoparticles with the help of an external magnetic field to its target is the principle behind the development of superparamagnetic iron oxide nanoparticles (SPIONs) as novel drug delivery vehicles. SPIONs are small synthetic γ-Fe2O3 (maghemite) or Fe3O4 (magnetite) particles with a core ranging between 10 nm and 100 nm in diameter. These magnetic particles are coated with certain biocompatible polymers, such as dextran or polyethylene glycol, which provide chemical handles for the conjugation of therapeutic agents and also improve their blood distribution profile. The current research on SPIONs is opening up wide horizons for their use as diagnostic agents in magnetic resonance imaging as well as for drug delivery vehicles. Delivery of anticancer drugs by coupling with functionalized SPIONs to their targeted site is one of the most pursued areas of research in the development of cancer treatment strategies. SPIONs have also demonstrated their efficiency as nonviral gene vectors that facilitate the introduction of plasmids into the nucleus at rates multifold those of routinely available standard technologies. SPION-induced hyperthermia has also been utilized for localized killing of cancerous cells. Despite their potential biomedical application, alteration in gene expression profiles, disturbance in iron homeostasis, oxidative stress, and altered cellular responses are some SPION-related toxicological aspects which require due consideration. This review provides a comprehensive understanding of SPIONs with regard to their method of preparation, their utility as drug delivery vehicles, and some concerns which need to be resolved before they can be moved from bench top to bedside.

856 citations

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TL;DR: High efficiency, high biosorption capacity, cost-effectiveness and renewability are the important parameters making these materials as economical alternatives for metal removal and waste remediation.

758 citations

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TL;DR: The steam explosion pre-treatment led to a significant loss in hemicelluloses and alkaline peroxide post-treatment resulted in substantial dissolution of lignin and an increase in cellulose crystallinity.

629 citations

Frequently Asked Questions (1)
Q1. What are the contributions mentioned in the paper "Enhancement of heavy metals sorption via nanocomposites of rice straw and fe3o4 nanoparticles using artificial neural network (ann)" ?

In this paper, the artificial neural network ( ANN ) modeling of adsorption of Pb ( II ) and Cu ( II ) was carried out for determination of the optimum values of the variables to get the maximum removal efficiency.