Synthesis of Novel Graphene Composite Adsorbent for Water Treatment By Adsorption and Electrochemical Regeneration
Notice bibliographique
Résumé
One of the efficient and cost effective ways to remove organic contaminants from water is adsorption coupled with electrochemical oxidation. Graphite intercalated compounds (GIC) and activated carbons (AC) are among the common adsorbents for the adsorption - electrochemical regeneration process; nevertheless, they have significant shortcomings, i.e. GIC has low adsorptive capacity, whereas AC requires long regeneration time and high energy consumption associated with low current efficiency and high cell voltages. Owing to their huge surface area and high electrical conductivity, graphene-based materials are promising candidates as adsorbents suitable for electrochemical regeneration. This results in higher adsorptive capacity and current efficiency compared to AC and GIC. In this study, we prepared different types of graphene-based materials, namely graphene foam and magnetite reduced graphene oxide (rGO). The synthesized materials were characterized and tested for adsorption and electrochemical regeneration. Our findings revealed that, in addition to high current efficiency (greater than 80 %), these materials had a good adsorptive capacity compared to GIC. However, during the regeneration, graphene was oxidized and corroded after only a few cycles, contaminating the treated water. In the case of graphene foam, the integrity of the foam was lost after electrochemical regeneration. In order to overcome this corrosion problem and increase the current efficiency, a new composite was developed that is resistant to oxidation. The composite was characterized using scanning electron microscopy, transmission electron microscopy, X-ray diffraction and Raman spectroscopy. Methylene blue was employed as a model adsorbate in synthetic wastewater samples. Regeneration was carried out in an electrolytic cell operated at a constant current. In spite of the slight reduction in adsorptive capacity compared to the pure graphene, the composite facilitated the oxidation of the organics to an extent in which a current efficiency of around 100 % was achieved. TEM images indicated that the composite was not significantly corroded during the electrochemical treatment. Even after ten cycles of adsorption and regeneration, no reduction in the adsorptive capacity and no contamination of the treated water was observed. In brief, the results of the current study introduce graphene composites as efficient materials for the adsorption - electrochemical regeneration process.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».