Zinc oxide nanoparticles adsorb emerging pollutants (glyphosate pesticide) from aqueous solutions-Reference-Cited by-同舟云学术

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Zinc oxide nanoparticles adsorb emerging pollutants (glyphosate pesticide) from aqueous solutions

Published:2023-05-11 Issue:6 Volume:195 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Odoemelam Steven A.,Oji Esther O.,Eddy Nnabuk Okon,Garg Rajni,Garg Rishav,Islam Saiful,Khan Mohammad Amir,Khan Nadeem A.,Zahmatkesh Sasan

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10661-023-11255-0.pdf

Reference69 articles.

1. Al-Arjan, W. S. (2022). Zinc oxide nanoparticles and their application in adsorption of toxic dye from aqueous solution. Polymers, 14(15). https://doi.org/10.3390/polym14153086

2. Al-Harby, N. F., Albahly, E. F., & Mohamed, N. A. (2021). Kinetics, isotherm and thermodynamic studies for efficient adsorption of Congo red dye from aqueous solution onto novel cyanoguanidine-modified chitosan adsorbent. Polymers, 13(24). https://doi.org/10.3390/polym13244446

3. Ali, M., Prakash, K., Macana, C., Bashir, A. K., Jolfaei, A., Bokhari, A., et al. (2022). Modeling residential electricity consumption from public demographic data for sustainable cities. Energies, 15(6), 1–16. https://doi.org/10.3390/en15062163

4. An, B., Lee, C. G., Song, M. K., Ryu, J. C., Lee, S., Park, S. J., et al. (2015). Applicability and toxicity evaluation of an adsorbent based on jujube for the removal of toxic heavy metals. Reactive and Functional Polymers, 93, 138–147. https://doi.org/10.1016/j.reactfunctpolym.2015.06.009

5. Babapour, M., Hadi Dehghani, M., Alimohammadi, M., Moghadam Arjmand, M., Salari, M., Rasuli, L., et al. (2022). Adsorption of Cr(VI) from aqueous solution using mesoporous metal-organic framework-5 functionalized with the amino acids: Characterization, optimization, linear and nonlinear kinetic models. Journal of Molecular Liquids, 345, 117835. https://doi.org/10.1016/j.molliq.2021.117835

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