Characterization of bacterial cellulose produced by the KomEt strain isolated from a kombucha SCOBY
Bibliographic record
Abstract
Bacterial cellulose (BC) is gaining interest, due to its actual and potential applications in the biomedical, cosmetics and textile industries. In this study, mechanical, thermal, and chemical properties of BC produced from a novel strain, isolated from a kombucha symbiotic culture of bacteria and yeast (SCOBY), were evaluated. The highest obtained yields with this strain, after a 10-day fermentation, were 496 ± 14 g/L (native hydrated) and 19 ± 1 g/L (dry). Compression, including relaxation, and traction tests were performed on BC membranes in a hydrated state. The tested material revealed a 3-phase compression behaviour with a compression modulus of 235 ± 50 Pa. In terms of relaxation in water, BC membranes showed plastic deformation past 50 % compression. Regarding BC membrane under traction, analysis showed a 1090 ± 410 kPa Young Modulus, a 50 ± 10 % elongation at break and a 270 ± 80 kPa Ultimate Tensile Stress (UTS). Thermal gravimetric analysis (TGA) and differential scanning calorimetry (DSC) indicated that BC begins its degradation around 290°C. Fourier-Transform Infrared spectroscopy (FTIR) of freeze-dried BC membranes confirmed the obtained biofilm to be BC. The results of this study provide valuable information on the potential applications of BC membranes in different industries including textile, biomedical and as a low-cost alternative to some synthetic polymers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".