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Congo red dye removal using modified banana leaves: Adsorption equilibrium, kinetics, and reusability analysis

Rose, Pawan Kumar, Poonia, Vikash, Kumar, Rakesh, Kataria, Navish, Sharma, Prabhakar, Lamba, Jasmeet, Bhattacharya, Prosun·2023·Groundwater for Sustainable Development

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Research works printed but not linked: 43

  1. Ali, 2021, Adsorption of Congo red from aqueous solution using Typha australis leaves as a low cost adsorbent, J. Environ. Treat. Tech., 9, 534
  2. Al-Salihi, 2022, Removal of Congo red dyes from aqueous solutions by porous γ-alumina nanoshells, Chemosphere, 286, 10.1016/j.chemosphere.2021.131769 · DOI
  3. Behpour, 2021, Simultaneous removal of Basic Blue 41 and Basic Red 46 dyes in binary aqueous systems via activated carbon from palm bio-waste: optimization by central composite design, equilibrium, kinetic, and thermodynamic studies, Environ. Technol. Innovat., 24
  4. Beigi, 2023, Pyrolyzed magnetic NiO/carbon-derived nanocomposite from a hierarchical nickel-based metal-organic framework with ultrahigh adsorption capacity, Environ. Res., 231, 10.1016/j.envres.2023.116146 · DOI
  5. Bello, 2012, Equilibrium, kinetic, and quantum chemical studies on the adsorption of Congo red using Imperata cylindrica leaf powder activated carbon, Toxicol. Environ. Chem., 94, 1114, 10.1080/02772248.2012.691504 · DOI
  6. Bhattacharyya, 2004, Azadirachta indica leaf powder as an effective biosorbent for dyes: a case study with aqueous Congo Red solutions, J. Environ. Manag., 71, 217, 10.1016/j.jenvman.2004.03.002 · DOI
  7. Boulahbal, 2022, Removal of the industrial azo dye crystal violet using a natural clay: characterization, kinetic modeling, and RSM optimization, Chemosphere, 306, 10.1016/j.chemosphere.2022.135516 · DOI
  8. Cao, 2014, A new absorbent by modifying walnut shell for the removal of anionic dye: kinetic and thermodynamic studies, Bioresour. Technol., 163, 199, 10.1016/j.biortech.2014.04.046 · DOI
  9. Castillo, 2023, Environmental sustainability assessment of banana waste utilization into food packaging and liquid fertilizer, Sustain. Prod. Consum., 37, 356, 10.1016/j.spc.2023.03.012 · DOI · Paper page
  10. Chattoraj, 2016, Optimization of adsorption parameters for removal of carbaryl insecticide using neem bark dust by response surface methodology, Water Conser. Sci. Eng., 1, 127, 10.1007/s41101-016-0008-9 · DOI
  11. Chauhan, 2020, Green fabrication of ZnO nanoparticles using Eucalyptus spp. leaves extract and their application in wastewater remediation, Chemosphere, 247, 10.1016/j.chemosphere.2019.125803 · DOI
  12. Chen, 2012, Application of response surface methodology for optimization of the synthesis of synthetic rutile from titania slag, Appl. Surf. Sci., 258, 3068, 10.1016/j.apsusc.2011.11.039 · DOI
  13. Chicco, 2021, The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation, PeerJ Comput. Sci., 7, e623, 10.7717/peerj-cs.623 · DOI · Paper page
  14. Darweesh, 2022, Adsorption isotherm, kinetic, and optimization studies for copper (II) removal from aqueous solutions by banana leaves and derived activated carbon, S. Afr. J. Chem. Eng., 40, 10
  15. Debnath, 2023, Strong adsorption of CV dye by Ni ferrite nanoparticles for waste water purification: fits well the pseudo second order kinetic and Freundlich isotherm model, Ceram. Int., 49, 16199, 10.1016/j.ceramint.2023.01.218 · DOI
  16. Extross, 2022, Adsorption of Congo red using carbon from leaves and stem of water hyacinth: equilibrium, kinetics, thermodynamic studies, Int. J. Environ. Sci. Technol., 1
  17. Gunasekar, 2017, Influence of process variables on adsorption of Congo red onto mango leaf char using factorial design analysis, Environ. Eng. & Manag. J. (EEMJ), 16
  18. Igwegbe, 2019, Modeling of adsorption of methylene blue dye on Ho-CaWO4 nanoparticles using response surface methodology (RSM) and artificial neural network (ANN) techniques, MethodsX, 6, 1779, 10.1016/j.mex.2019.07.016 · DOI
  19. Joshi, 2019, Applications of Fe3O4@ AC nanoparticles for dye removal from simulated wastewater, Chemosphere, 236, 10.1016/j.chemosphere.2019.07.011 · DOI
  20. Karaman, 2022, Congo red dye removal from aqueous environment by cationic surfactant modified-biomass derived carbon: equilibrium, kinetic, and thermodynamic modeling, and forecasting via artificial neural network approach, Chemosphere, 290, 10.1016/j.chemosphere.2021.133346 · DOI
  21. Kataria, 2017, Removal of Congo red and Brilliant green dyes from aqueous solution using flower shaped ZnO nanoparticles, J. Environ. Chem. Eng., 5, 5420, 10.1016/j.jece.2017.10.035 · DOI
  22. Khaniabadi, 2017, Removal of Congo red dye from aqueous solutions by a low-cost adsorbent: activated carbon prepared from Aloe vera leaves shell, Environ. Health Eng. Manag. J., 4, 29, 10.15171/EHEM.2017.05 · DOI
  23. Kumari, 2020, Eucalyptus leaf powder as an efficient scavenger for Congo red from water: comprehensive batch and column investigation, Separ. Sci. Technol., 55, 3047, 10.1080/01496395.2019.1670208 · DOI
  24. Kumar, 2023, Co-transport and deposition of fluoride using rice husk-derived biochar in saturated porous media: effect of solution chemistry and surface properties, Environ. Technol. Innovat., 30
  25. Kumar, 2023, Rice husk biochar-A novel engineered bio-based material for transforming groundwater-mediated fluoride cycling in natural environments, J. Environ. Manag., 343, 10.1016/j.jenvman.2023.118222 · DOI
  26. Kumar, 2023, A review on sustainable mesoporous activated carbon as adsorbent for efficient removal of hazardous dyes from industrial wastewater, Journal of Water Process Engineering, 54, 104054, 10.1016/j.jwpe.2023.104054 · DOI
  27. Liu, 2013, Removal of methylene blue from aqueous solutions by sewage sludge based granular activated carbon: adsorption equilibrium, kinetics, and thermodynamics, J. Chem. Eng. Data, 58, 2248, 10.1021/je4003543 · DOI
  28. Liu, 2010, Response surface methodology for optimizing adsorption process parameters for methylene blue removal by a hydrogel composite, Adsorpt. Sci. Technol., 28, 913, 10.1260/0263-6174.28.10.913 · DOI
  29. Nandiyanto, 2019, How to read and interpret FTIR spectroscope of organic material, Indones. J. Sci. Technol., 4, 97, 10.17509/ijost.v4i1.15806 · DOI
  30. Nasseh, 2022, Synthesis of FeNi3/SiO2/CuS magnetic nano-composite as a novel adsorbent for Congo Red dye removal, Int. J. Environ. Anal. Chem., 102, 2342, 10.1080/03067319.2020.1754810 · DOI
  31. Nguyen, 2021, Metal salt-modified biochars derived from agro-waste for effective Congo red dye removal, Environ. Res., 10.1016/j.envres.2021.111492 · DOI
  32. Nodehi, 2020, Enhanced adsorption of Congo red using cationic surfactant functionalized zeolite particles, Microchem. J., 153, 10.1016/j.microc.2019.104281 · DOI
  33. Ojedokun, 2017, Kinetic modeling of liquid-phase adsorption of Congo red dye using guava leaf-based activated carbon, Appl. Water Sci., 7, 1965, 10.1007/s13201-015-0375-y · DOI
  34. Rafatullah, 2010, Adsorption of methylene blue on low-cost adsorbents: a review, Journal of hazardous materials, 177, 70, 10.1016/j.jhazmat.2009.12.047 · DOI
  35. Rao, 2023, A facile pyrolysis synthesis of Ni doped Ce2O3@ CeO2/CN composites for adsorption removal of Congo red: activation of carbon nitride structure, Separ. Purif. Technol., 305, 10.1016/j.seppur.2022.122505 · DOI
  36. Shayesteh, 2016, Evaluation of natural and cationic surfactant modified pumice for Congo red removal in batch mode: kinetic, equilibrium, and thermodynamic studies, J. Mol. Liq., 221, 1, 10.1016/j.molliq.2016.05.053 · DOI
  37. Sinha, 2022, Removal of hexavalent chromium via biochar-based adsorbents: state-of-the-art, challenges, and future perspectives, J. Environ. Manag., 317, 10.1016/j.jenvman.2022.115356 · DOI
  38. Taran, 2015, Designing and optimization of separation process of iron impurities from kaolin by oxalic acid in bench-scale stirred-tank reactor, Appl. Clay Sci., 107, 109, 10.1016/j.clay.2015.01.010 · DOI
  39. Theng, 2020, Adsorption of methylene blue and Congo red dye from water onto cassava leaf powder, Prog. Energy Environ., 12, 11
  40. Udume, 2022, Impact of composting factors on the biodegradation of lignin in Eichhornia crassipes (water hyacinth): a response surface methodological (RSM) investigation, Heliyon, 8, 10.1016/j.heliyon.2022.e10340 · DOI
  41. Verma, 2008, Acute toxicity assessment of textile dyes and textile and dye industrial effluents using Daphnia magna bioassay, Toxicol. Ind. Health, 24, 491, 10.1177/0748233708095769 · DOI
  42. Vaidya, 1982, Environmental pollution during chemical processing of synthetic fibers, Colourage, 14, 3
  43. Yang, 2018, Adsorption behavior of modified Glossogyne tenuifolia leaves as a potential biosorbent for the removal of dyes, J. Mol. Liq., 252, 289, 10.1016/j.molliq.2017.12.142 · DOI

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Metadata

Authors
Rose, P. K., Poonia, V., Kumar, R., Kataria, N., Sharma, P., Lamba, J., & Bhattacharya, P.
Venue
Groundwater for Sustainable Development
Publisher
Elsevier BV
Published
2023-11
Volume
23
Pages
101005
ISSN
2352-801X
Cited by
72
References
0
Language
en

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