Removal of beta-blockers from aqueous media by adsorption onto graphene oxide

Kyzas, George Z.; Koltsakidou, Αnastasia; Nanaki, Stavroula; Bikiaris, Dimitrios N.; Lambropoulou, Dimitra A.

doi:10.1016/j.scitotenv.2015.07.144

Cited by 138 publications

(50 citation statements)

References 71 publications

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“…The removal of the phenolic compound occurred in the first 15 min, which shows a rapid kinetic behavior according to the other kinetic studies of adsorption in the literature . This is the most striking result of our kinetic study.…”

Section: Resultssupporting

confidence: 85%

Adaptive neuro‐fuzzy inference system modeling of 2,4‐dichlorophenol adsorption on wood‐based activated carbon

Alver

Baştürk

Tulun

et al. 2020

Env Prog and Sustain Energy

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Phenolic compounds cause significant problems both in drinking water and wastewater due to their toxicity, high oxygen requirements, and low biodegradability. They are listed as primary pollutants by the United States Environmental Protection Agency and the European Union. In this study, the adsorption efficiency of 2,4‐dichlorophenol (2,4‐DCP) on activated carbon, which is commonly used in treatment plants, was investigated under different experimental conditions including adsorbent dose, initial phenol concentration, initial pH, and contact time. As a result of experimental studies, it was determined that the adsorption isotherm and kinetics could be perfectly fitted to Langmuir and the assumption of pseudo‐second order model, respectively. Then, the adaptive neuro‐fuzzy inference system (ANFIS) model was developed, which was the primary purpose of this study. The correlation between training and testing data and the ANFIS output was over 0.999. The generalization ability of the model was found to be 0.999. The input variables such as adsorbent dosage (14.2%), initial concentration (14.6%), initial pH (13.9%), and the contact time (57.2%) showed a higher effect on 2,4‐DCP removal efficiency in the sensitivity analysis. To summarize, modeling studies that are frequently preferred in treatment plants for the removal of different pollutants will reduce the number of experiments harmful to human health and save time, labor, and economy.

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Section: Resultssupporting

confidence: 85%

Adaptive neuro‐fuzzy inference system modeling of 2,4‐dichlorophenol adsorption on wood‐based activated carbon

Alver

Baştürk

Tulun

et al. 2020

Env Prog and Sustain Energy

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“…The dark brown GO powder was synthesized according to the modified Hummers method as described previously . rGO/TiO 2 composites were prepared by adding the desired amount of GO to isopropanol and sonicating for 2 h (Bandelin, sonorex).…”

Section: Methodsmentioning

confidence: 99%

“…The dark brown GO powder was synthesized according to the modified Hummers method 45 as described previously. 46 rGO/TiO 2 composites were prepared by adding the desired amount of GO to isopropanol and sonicating for 2 h (Bandelin, sonorex). TiO 2 P25 was added to the resulting rGO and stirred for 2 h at 70 ∘ C. The suspension of the two oxides then was sonicated for 1 h and wileyonlinelibrary.com/jctb dried at 75 ∘ C for 16 h. The composite was left to cool at room temperature, grinned and washed five times with doubly distilled water.…”

Section: Synthesis Of Go Rgo/tiomentioning

confidence: 99%

Photocatalytic disinfection and purification of water employing reduced graphene oxide/TiO₂ composites

Berberidou

Kyzas

Paspaltsis

et al. 2019

J of Chemical Tech & Biotech

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BACKGROUND Recombination of photogenerated carriers in titanium dioxide (TiO2)‐mediated semiconducting photocatalysis is considered to be the principal obstacle in its unlimited exploitation in practical applications. Hybridization of TiO2 with graphene‐based materials appears to be a highly promising alternative. In this context, reduced graphene oxide (rGO)/TiO2 composites were prepared using a simple ultrasonically assisted route under mild reaction conditions. RESULTS The as‐prepared composites were characterized by X‐ray diffraction (XRD), scanning electron microscopy (SEM), energy‐dispersive X‐ray spectrometry (EDS), Fourier‐transform infrared spectroscopy (FTIR) and nitrogen adsorption–desorption isotherms. Photocatalytic efficiencies of the as‐prepared composites were evaluated employing the pesticide clopyralid as a model pollutant. Initial degradation and mineralization rates obtained in the presence of the as‐prepared composites were, in all cases, higher than the one obtained in the presence of the bare TiO2, with 5% rGO/TiO2 achieving the highest r0 and rDOC values. The as‐prepared composites also were evaluated based on their potential to inactivate bacterial endospores of the Bacillus stearothermophilus species, well‐known for their extraordinary resistance to most inactivation processes. Prevalence of 5% rGO/TiO2 in the inactivation of B. stearothermophilus among all as‐prepared materials was evident, accomplished within 120 min of UV‐A illumination. Real‐time PCR experiments enabled the detection of genomic DNA released during photocatalytic oxidation, in the presence of 5% rGO/TiO2 and UV‐A, suggesting lysis of the outer and inner spore coat caused by the generated ROS. CONCLUSIONS These findings demonstrate the potential of rGO, a low‐cost, nontoxic material to serve as a reliable alternative in the enhancement of TiO2 photocatalytic efficiency in water processing applications. © 2019 Society of Chemical Industry

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“…A quantidade máxima de adsorção para o biocarvão ativado é muito maior que aquela obtida para o biocarvão sem tratamento, sendo de 27,93 mg g , o que corresponde a 0,51 mg g -1 em pH 9 e utilizando com adsorvente o TiO 2 23 , e valores de 67 mg.g -1 utilizando como adsorvente como óxido de grafeno 18 . Nos dois casos existentes os adsorventes possuem valores de obtenção altos, ao contrário do adsorvente utilizado que se trata de um subproduto de um processo, mostrando que sua utilização pode ser vantajosa.…”

Section: Ensaios De Adsorção E Avaliação Da áRea Superficial (Bet) Dounclassified

Use of Biochar and Advanced Oxidative Processes for the Removal of Propranolol from Simulated Aqueous Effluents

Costa¹,

Oliveira²,

Moreira³

et al. 2018

Rev. Virtual Quim.

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Abstract:The present work evaluated the efficiency of the adsorption process using sawdust biochar associated to Advanced Oxidative Processes in the removal of the drug propranolol in simulated aqueous effluents. The biochar was activated chemically (washed with HCl) and physically (heating at 800 ° C) to favor adsorption. The results suggested that the adsorption equilibrium followed the model of Lagmuir monolayers. The combination of the adsorption and degradation processes resulted in almost complete removal of the contaminant in aqueous medium. Ecotoxicity test with Artemia salina showed that the degradation products are not toxic to this microcrustacean.Keywords: Sawdust biochar; adsorption; propranolol; advanced oxidative processes; emerging pollutant. ResumoO presente trabalho avaliou a eficiência do processo de adsorção usando biocarvão de serragem associado a Processos Oxidativos Avançados na remoção do fármaco propranolol em efluentes aquosos simulados. O biocarvão foi ativado quimicamente (lavado com HCl) e fisicamente (aquecimento à 800 °C) para favorecer a adsorção. Os resultados sugeriram que o equilíbrio de adsorção seguiu o modelo de monocamadas de Lagmuir. A combinação dos processos de adsorção e degradação resultou na remoção quase completa do contaminante em meio aquoso. Teste de ecotoxicidade com Artemia salina mostrou que os produtos de degradação não são tóxicos a este microcrustáceo.Palavras-chave: Biocarvão de serragem; adsorção; propranolol; processos oxidativos avançados; contaminante emergente.

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Removal of beta-blockers from aqueous media by adsorption onto graphene oxide

Cited by 138 publications

References 71 publications

Adaptive neuro‐fuzzy inference system modeling of 2,4‐dichlorophenol adsorption on wood‐based activated carbon

Adaptive neuro‐fuzzy inference system modeling of 2,4‐dichlorophenol adsorption on wood‐based activated carbon

Photocatalytic disinfection and purification of water employing reduced graphene oxide/TiO₂ composites

Use of Biochar and Advanced Oxidative Processes for the Removal of Propranolol from Simulated Aqueous Effluents

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Removal of beta-blockers from aqueous media by adsorption onto graphene oxide

Cited by 138 publications

References 71 publications

Adaptive neuro‐fuzzy inference system modeling of 2,4‐dichlorophenol adsorption on wood‐based activated carbon

Adaptive neuro‐fuzzy inference system modeling of 2,4‐dichlorophenol adsorption on wood‐based activated carbon

Photocatalytic disinfection and purification of water employing reduced graphene oxide/TiO2 composites

Use of Biochar and Advanced Oxidative Processes for the Removal of Propranolol from Simulated Aqueous Effluents

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Photocatalytic disinfection and purification of water employing reduced graphene oxide/TiO₂ composites