Study of Graphene FOAM Characteristics: Adsorption and Electrochemical Regeneration
Notice bibliographique
Résumé
During extraction of bitumen at high temperatures, release of constituents of oil and bitumen into produced water occurs. Naphthenic acids (NAs) are of those constituents which contaminate the produced water and end up in accumulation in tailing ponds. NAs removal form produced water is vital due to their toxicity for living beings as well as their corrosive nature. Pipeline and separation system in oil and gas industry can be damaged by NAs effect. One of the processes which contribute to NAs removal from produced waters is adsorption [1, 2]. Some adsorbents have been recently developed to address environmental challenges associated with removal of dissolved organics like NAs from contaminated water. New adsorbents should feature important properties such as high surface area, high electrical conductivity, homogeneous dispersion, ability to remove various contaminants, and easy separation from treated water. Graphene is a two-dimensional pure carbon with one-atom-thick honeycomb arrangement, and possesses a perfect sp 2 hybrid carbon nanostructure. Most of above mentioned properties can be attributed to graphene, which turn it to an important nanomaterial. As a nonmaterial, graphene cannot be used only as adsorbent, but it can be also employed as nanoelectronics, nanocomposites, nanosensors, and nanodevice [1]. However, graphene naturally tends to agglomerate in the liquid, and thus, turn into graphite. It leads to tremendous reduction in graphene surface area that decreases its adsorptive capacity. Besides, utilized graphene cannot be separated from wastewater readily. Nowadays, prevention from graphene aggregation is a big challenge in its utilization as adsorbent. Several methods have been proposed to overcome this problem; one of them is to assemble the graphene sheets in the form of foam [3]. Application of adsorption process using graphene foam as adsorbent is beneficial as it can be regenerated and reused. Different techniques can be implemented for regeneration purpose, including thermal, solvent, microbial and electrochemical methods. Owing to high carrier mobility of graphene at room temperature, application of electrochemical method can be the best choice. While electrochemical regeneration of some adsorbents such as activated carbon [4] and Nyex [5] has been the subject of many reports, electrochemical regeneration of graphene foam has not been studied, to the best of our knowledge. In this study, removal of NAs by adsorption on graphene foam and electrochemical regeneration of adsorbed naphthenic acid were investigated. Graphene foam was synthesized by two different methods. Resulted foams were characterized by Raman spectroscopy, Fourier Transformed Infrared (FTIR) spectroscopy and Scanning Electron Microscopy (SEM). Formation of Graphene foam was proven by data obtained by Raman and FTIR tests. SEM images confirmed porous structure of synthesized graphene foam. Electrical resistivity of 0.5 Ω.cm was measured for synthesized graphene foam by Low Resistivity meter, alluding its high conductivity. Adsorption experiments were carried out in 50 ml beakers. Constant initial concentrations of NAs were maintained during the experiment, which was corresponded to COD of 350 ppm. Solutions were well mixed with known mass of graphene foam by magnet stirrer. NAs residual concentrations were measured by COD test. Electrochemical regeneration was accomplished inside a 50ml cell with NaCl solution (1.0M) as electrolyte, stainless steel plate as cathode, and graphite plate as anode. 150 mA dc current was applied for regeneration. Adsorption capacity of regenerated graphene foam was confirmed through another set of experiment with the same solution. Thus, regeneration efficiency of 81% was achieved for graphene foam. References 1. Liu, F., et al., Three-Dimensional Graphene Oxide Nanostructure for Fast and Efficient Water-Soluble Dye Removal. ACS Applied Materials & Interfaces, 2011. 4 (2): p. 922-927. 2. Deriszadeh, A., T.G. Harding, and M.M. Husein, Improved MEUF removal of naphthenic acids from produced water. Journal of Membrane Science, 2009. 326 (1): p. 161-167. 3. Xu, Y., et al., Self-Assembled Graphene Hydrogel via a One-Step Hydrothermal Process. ACS Nano, 2010. 4 (7): p. 4324-4330. 4. Karimi-Jashni, A. and R. Narbaitz, Electrochemical Reactivation of Granular Activated Carbon: Effect of Electrolyte Mixing. Journal of Environmental Engineering, 2005. 131 (3): p. 443-449. 5. Brown, N.W. and E.P.L. Roberts, Electrochemical pre-treatment of effluents containing chlorinated compounds using an adsorbent. Journal of Applied Electrochemistry, 2007. 37 (11): p. 1329-1335.
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 ».