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Enregistrement W4391405049 · doi:10.53846/goediss-10318

Dehydration behavior of hydrogels

2024· dissertation· en· W4391405049 sur OpenAlexfundno aff
Dan Xu

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineMaterials Science
ThématiqueTextile materials and evaluations
Établissements canadiensnon disponible
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaChina Scholarship CouncilGeorg-August-Universität GöttingenDeutsche ForschungsgemeinschaftNiedersächsische Ministerium für Wissenschaft und Kultur
Mots-clésSelf-healing hydrogelsMaterials scienceDehydrationChemical engineeringPorosityNanotechnologyComposite materialPolymer chemistryChemistry

Résumé

récupéré en direct d'OpenAlex

Hydrogels, with their porous structures, steric networks, and high water content, which closely resemble living organisms, are attractive materials for numerous applications, including wound dressing, tissue engineering, and soft actuation. In reality, the dehydration of hydrogels always occurs, thereby modifying the characteristics of materials simultaneously. A thorough grasp of the physicochemical aspects of hydrogel dehydration can advance the use of hydrogels and also provide a new perspective on nature. The object of this research is to investigate the dehydration behavior of hydrogels and to fabricate functional materials via this path. The reorganization of dynamic hydrogels during dehydration were systematically investigated, resulting in the xerogel hollow tubes with unique wall-knot structures via an anisotropic process. Unlike the typical isotropic contraction of hydrogels during dehydration, a fast reorganization of dynamic hydrogels facilitated the migration of polymers within the plane under the induced stress of dehydration. This led to the creation of hollow xerogel tubes with similar density and wall thickness or knots. Specifically, the conformal hydrogel-wall interfaces allowed the isotropic dehydration process to continue steadily. The universal nature of dynamic hydrogel reorganization during dehydration has been demonstrated. To a certain extent, this phenomenon is not influenced by the types of monomer or solvent utilized, dynamic bonds, and can even permeate through the interface between dynamic hydrogels. Combined with the conformality of hydrogel-wall interfaces, it provides a large scale curved surface with nanopatterns. Then, inspired by the formation of heterogeneous structures of natural plants, xerogel fibers with heterogeneous structures were prepared after sequential uniaxial stretching and subsequent air drying. The observation reveals distinct properties of the inner part as core and outer layer as a sheath in one single sample. The outer layer was dense with stronger orientated microstructures, while the inner part was porous and uniform. By adapting Deborah number (De) to the air drying of hydrogels as interaction time, the formation of heterogeneous structures can be correlated with the divergent De, while tuning De values can trigger the transition from homogeneity to heterogeneity in xerogel fibers. Specifically, the turning point was around De = 1. Combining numerical modeling and experimental investigation, the mechanism behind the association between De and heterogeneity is water content-dependent glass transition. By quantitatively analyzing the results in DVS tests, this unique heterogeneous structure was demonstrated to be the key parameter in tuning the water transmission and the capacity of water holding. Herein, based on the physicochemical process in the modified dehydration process of dynamic hybrid hydrogels, we provide a new angle to understand the formation of heterogeneous structures in soft matter. A new method was demonstrated to create a designable optical material system using cellulose nanocrystals (CNCs) that exhibit birefringence through alkaline periodate oxidation (PO-CNCs) and gold nanorods (GNRs) that exhibit surface plasmon resonance (SPR) by uniaxial stretching and hydrogels dehydration. The resulting system allows for adjustable structural colours. The GNRs films show obvious absorbance around 525 nm, while the intensity of absorbance is related to the concentration and the relative angle to the polarizer. The retardation induced by PO-CNCs can be used to manipulate the light intensity transmitted through the polarizer. In addition to direct changing the amounts of nanomaterials in the nanocomposite films, two further strategies can be used to design the structural colors and broaden the color space: stacking the PO-CNCs and GNRs films or changing the rotation angle of GNRs films. In comparison with the directly prepared PO-CNCs + GNRs hybrid films, these two strategies display high flexibility and modularization. For the first time, the PO-CNCs are applied as one important element in constructing optical materials with designable structural colors. This thesis is a cumulative work including 3 publications. Two of them had already been published, and one was being prepared for submission. The background, the objective of the study, results and discussion of the three publications and the conclusions are presented in Section 1-4.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0130,002

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.

Tête enseignante Opus0,023
Tête enseignante GPT0,321
Écart entre enseignants0,298 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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