Machine learning for the adsorptive removal of ciprofloxacin using sugarcane bagasse as a low-cost biosorbent: comparison of analytic, mechanistic, and neural network modeling
Author:
Funder
SENESCYT ECUADOR
DIUC UNIVERSIDAD DE CUENCA
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11356-024-34345-z.pdf
Reference57 articles.
1. Alameri AA, Alfilh RHC, Awad SA et al (2022) Ciprofloxacin adsorption using magnetic and ZnO nanoparticles supported activated carbon derived from Azolla filiculoides biomass. Biomass Convers Biorefinery. https://doi.org/10.1007/s13399-022-03372-6
2. Al-Ghouti MA, Da’ana DA (2020) Guidelines for the use and interpretation of adsorption isotherm models: a review. J Hazard Mater 393:122383. https://doi.org/10.1016/j.jhazmat.2020.122383
3. Al-Jubory FK, Abbas AS, Mujtaba IM (2023) Adsorptive removal of ciprofloxacin from simulated wastewater using crosslinked starch ester: isotherms, kinetics, thermodynamics, modeling, and simulation for continuous operation. Chem Eng Res Des 200:332–343. https://doi.org/10.1016/j.cherd.2023.10.051
4. Antonelli R, Malpass GRP, da Silva MGC, Vieira MGA (2021) Fixed-bed adsorption of Ciprofloxacin onto bentonite clay: characterization, mathematical modeling, and DFT-based calculations. Ind Eng Chem Res 60:4030–4040. https://doi.org/10.1021/acs.iecr.0c05700
5. Ashfaq M, Li Y, Rehman MSU et al (2019) Occurrence, spatial variation and risk assessment of pharmaceuticals and personal care products in urban wastewater, canal surface water, and their sediments: a case study of Lahore, Pakistan. Sci Total Environ 688:653–663. https://doi.org/10.1016/j.scitotenv.2019.06.285
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