Abstract
Abstract: Bacterial cellulose (BC) is a biodegradable polymer that benefits in purity, crystallinity and superior optical, structural and mechanical properties. Such properties facilitate BC to replace the conventional non-biodegradable materials used, for instance, in sensing applications. However, BC production is largely conducted in conventional medium containing model substrates and complex carbon-containing compounds. Aiming towards the production of eco-friendly piezoelectric-responsive BC films, we isolated and characterized a novel bacterial strain affiliated to Komagataeibacter rhaeticus. The K. rhaeticus ENS9a strain synthesized BC in minimal medium containing crude glycerol, generating a titer of 2.9 ± 0.3 g/L BC. This is, to the best of our knowledge, the highest BC titer reported from an unoptimized minimal medium containing crude glycerol. Interestingly, the films prepared from crude glycerol showed normal force and bending mode sensitivities of 6–11 pC/N and 40–71 pC/N, respectively, demonstrating a green platform to address both bioprocess waste valorization and implementation of cellulose-based alternatives for the non-sustainable and non-biodegradable materials, such as fluoropolymers or lead containing piezoceramics, used in sensing applications. In silico genome analysis predicted genes partaking in carbohydrate metabolism, BC biogenesis, and nitrogen fixation/regulation. Graphic abstract: [Figure not available: see fulltext.]
| Original language | English |
|---|---|
| Pages (from-to) | 671-689 |
| Number of pages | 19 |
| Journal | Cellulose |
| Volume | 28 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jan 2021 |
| MoE publication type | A1 Journal article-refereed |
Funding
This work was supported by Academy of Finland (Project No. 323214 for RM) and Kone Foundation (Project No. 201803224 for AJR). Open access funding provided by Tampere University, Finland.
Keywords
- Bacterial cellulose
- Crude glycerol
- Komagataeibacter spp
- Piezoelectric material
- Strain selection
- Whole-genome analysis