Development of electrospun fibrous structures from cellulose acetate for water purification
Notice bibliographique
Résumé
Electrospun fibers have been proven to be effective aqueous contaminant removers owing to their large specific surface area, high porosity, and easy modification.To date, electrospinning has been successfully employed to fabricate numerous combinations of polymers and fillers into ultrafine fibers for water purification.Cellulose acetate (CA), a biodegradable polymer, is increasingly used to produce consumer products (over 600,000 metric tons per year) including cigarette filters, textiles, photographic films, and plastic.However, most of the CA wastes are landfilled, discarded, or incinerated, resulting in intensified greenhouse gas emissions and loss of useful materials.Recycling CA wastes into electrospun adsorbents not only alleviates their impacts on the environment but also produces value-added products.Humic acid (HA) is a natural organic compound that exerts pressure on aquatic environments and water-based engineering systems.The presence of HA in the water system, especially in potable water not only generates unfavorable taste but also induces complexation effects with heavy metal ions and active interactions with Cl2 used in the water treatment process, giving rise to carcinogenic and reproductive issue-related organochlorines as a disinfection by-product.Herein, HA is selected as an illustrative contaminant, and guided by the intermolecular interaction study, CA and chitosan (CS) derived from wastes materials were recycled to prepare an efficient electrospun adsorbent with abundant amino and methyl groups for HA removal.The results revealed that all the CA/CS fibrous membranes showed high adsorption capacities (> 152 mg/g) towards HA at pH 4. Especially, the CA/CS 1:1 sample had a uniform fibrous morphology, which led to the highest tensile strength and adsorption capacity of 184.72 mg/g.To further optimize the properties and efficacy of the electrospun adsorbent, a core-sheath structured CA-based adsorbent incorporated by CS and cellulose nanocrystals (CNCs) was constructed.All the CS/CA/CNCs fibers with core-sheath structures exhibited smaller diameters, greater homogeneity, and significantly improved mechanical strength iii compared to the uniaxial fibers.The removal efficacy was also improved as evidenced by the comparable adsorption capacity toward HA obtained from the CS/CA/CNCs fibers with a lower mass proportion of CS incorporated.Additionally, photoactive agents were introduced into the CA/CS adsorbent to facilitate continuous and synergistic removal of contaminants via photooxidation and adsorption.The results indicated that TiO2 was uniformly fixed in the electrospun CA/CS fibers, which extended the removal process and facilitated the continuous removal of HA after 60 minutes upon the saturation of the adsorbent.The generated CA electrospun membrane residues were finally collected and utilized to assemble 3D fibrous aerogels for oil/water separations.The hydrophobic aerogels exhibited superior absorption capacities towards diversified oils and organic solvents with good reusability.In general, the results showed that the electrospun fibrous structures derived from CA are promising adsorbents for water purification.I would like to express my gratitude to my supervisor, Dr. Yixiang Wang, for his guidance and support throughout this research.His feedback has been pivotal in shaping both this work and my growth as a researcher.His encouragement and faith in my abilities have been a guiding light during the most challenging times of my research.His commitment to pursuing knowledge and his unwavering belief in the importance of meticulous work and rigorous analysis have not only shaped my academic development but have also instilled in me the ethos of what it truly means to be a researcher.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».