Sustainable polyhydroxybutyrate production in integrated forest biorefineries
Notice bibliographique
Résumé
Biopolymers can provide environmentally friendly alternatives to the use of fossil fuel derived polymers. Among others, their production can be net carbon negative and their disposal can help fertilizing soil by composting. However, the environmental benefits of these biopolymers are largely untapped as their overall production capacity is marginal. This low production is primarily caused by their high production cost and selling price, which hinder most biopolymers to compete on the market. One of the most promising, yet expensive biopolymers are the microbiologically produced polyhydroxyalkanoates (PHAs), since they are compostable and also biodegrade in the marine environment. Furthermore, the currently used raw materials for their production (corn starch and vegetable oils) are not only expensive, but also compete with food production. Alternatively, in Canada, wood is abundantly available through the pulp and paper infrastructure, with residues which can be fed to modern biorefineries. This work explores the feasibility of integrating the most well-known PHA, polyhydroxybutyrate (PHB), into forest biorefineries using the bacterium Paraburkholderia sacchari.For this work, the first forest biorefinery scheme was based on the hydrolysis of softwood hemicellulose as a feedstock for PHB production. Softwood cellulose and lignin were recovered to be further converted into other products. Softwood hemicellulose has a favourable composition as compared to most other hemicelluloses, as it has a high share of the six carbon sugars mannose, glucose and galactose. Mannose and galactose were tested as carbon sources for P. sacchari for the first time and showed maximum specific growth rates of 97% and 60% relative to glucose, respectively. However, the presence of inhibitory compounds (acetate, 5 hydroxymethylfurfural, furfural and phenols) inhibited all bacterial growth. It was found that the inhibition comes from strong synergistic effects when the inhibitors are present in mixtures, and the magnitude of the effects was quantified with a mixture design model. Albeit the initial inhibition could be overcome by a high initial cell density (optical density ≥ 5.6) when using a simulated softwood hemicellulose hydrolysate, this approach was not successful for real softwood hemicellulose hydrolysate. Nevertheless, when the hydrolysate was added as a feed solution after an initial growth phase of 24 h, the sugars were all consumed. In comparison with an inhibitor-free hardwood hydrolysate, the growth rate and PHB yield were lower with softwood hemicellulose hydrolysate. While the sugar composition of the hydrolysate was therefore promising for PHB production, the inhibitory effect currently makes it unsuitable as the carbon source.The second biorefinery scheme studied was based on a pilot plant process developed by FPInnovations using hardwood biomass. The process converts hardwood cellulose and hemicellulose into a holocellulose hydrolysate, which was used as carbon source for PHB production. Using this hardwood hydrolysate in shake flask fermentations increased the maximum specific growth rate and PHB accumulation of the bacterium as compared to simulated hydrolysates. In high-cell density bioreactor fermentations, the wood hydrolysate afforded one of the highest PHB concentrations to date from lignocellulosic biomass. The chemical composition, thermal transitions and viscoelastic properties were similar to literature values of PHB. The number average molecular mass was 246.4 kDa with a PDI of 3.29. These results make PHB from hardwood hydrolysate, as co product with H lignin, a sustainable production scheme for industrial PHB production
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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) | 0,000 | 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 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 ».