Mechanoenzymology as a Novel Method for the Generation of Alginate Oligosaccharides from Alginate
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Notice bibliographique
Résumé
Alginate, a biopolymer primarily derived from brown seaweed, holds significant potential for various industrial applications, such as food production, pharmaceutical treatments, and agriculture.In its natural polymeric form, however, it is somewhat restricted in its practical use due to its low water solubility.Its depolymerization products, alginate oligosaccharides, on the other hand are much more versatile in these industrial applications because of their greater water solubility and variability in molecular weight.While there are many established methods of producing alginate oligosaccharides, each has drawbacks in aspects like waste production, water consumption, and affordability.This thesis explores a novel, sustainable approach to produce these oligomers through alginate depolymerization by alginate lyase using a mechanoenzymatic method (i.e.; ball-milling).By employing the enzyme under moist-solid conditions the study aims to reduce water waste and energy consumption while maintaining enzymatic efficiency.Key reaction parameters such as the liquid-to-solid ratio, milling time and frequency, incubation temperature, buffer pH, and enzyme loading were systematically optimized.The best mechanoenzymatic conditions yielded a reaction efficiency comparable to traditional aqueous methods, while reducing water consumption by ~680 times.The mechanoenzymatic method produced alginate oligosaccharides with narrow polydispersity and low molecular weights, comparable to those obtained in aqueous conditions.Overall, this research demonstrates the viability of mechanoenzymatic depolymerization as a greener alternative for alginate depolymerization, offering a new method of efficient alginate oligosaccharide production for further applications in medicine, agriculture, and food science.finding the right direction to take my master's research.She provided me the resources and opportunity to explore an exciting area of research I probably would've otherwise never known about and I am grateful to have been able to contribute to it.I would also like to thank my committee members, Dr. Martin Schmeing and Dr. Anthony Mittermaier for their interest in my project.I am also thankful to Dr. Violeta Toader for running my samples on the GPC and helping me to interpret the data.I would also like to thank everyone in the Auclair group for welcoming me and showing me the ropes until I got a hang of things, as well as for keeping me entertained in the lab when the days were particularly slow.In addition, I'd like to thank all of the other friends I made in the department for helping me to maintain a proper work-life balance.I'd specifically like to thank my closest friend Maddy
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 découle