Deacetylation Processing of Waste Cigarette Butts for High-Titer Bioethanol Production toward a Clean Recycling Process
Bibliographic record
Abstract
Proper disposal of large-quantity waste cigarette butts (WCBs) is of great importance for alleviating marine and land pollution, but it has been challenged by their complex compositions and toxic compounds contents. This work showed a technically feasible way to valorize WCBs through bioethanol production with high titers. Three deacetylation solvent systems, i.e., aqueous alkali, emerging alkali ethanol organosolv, and alkali deep eutectic solvent, were assessed for their abilities to produce high-purity and digestible cellulose. Results showed the acetyl groups content in WCBs after various deacetylation processes was significantly decreased from 46.65% to ∼4.66%, corresponding to the cellulose content increasing from 54.94% to ∼94.61%. It was proposed that the dual function of acetyl groups removal and cellulose deconstruction of these deacetylation solvent systems was responsible for enriching cellulose and enhancing its enzymatic accessibility, which allowed the subsequent facile simultaneous saccharification and fermentation (SSF) process to be operated at 20% (w/v) high solids loading. When the overall mass balance was traced during the deacetylation and SSF process based on 100 g of WCBs, a maximum bioethanol production of 25.4 g with a high titer of 76.5 g L–1 could be obtained. This work showed that a facile deacetylation process using alkaline solvent systems was promising for clean recycling of WCBs and also could provide useful technological information for valorizing other waste cellulose ester plastics.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".