Controlling the Reactivity of Enzymes in Mechanochemistry: Inert Surfaces Protect β-Glucosidase Activity During Ball Milling
Bibliographic record
Abstract
Although cellulose has been identified as the foremost candidate for the replacement of fossil fuels, its recalcitrant nature prevents the full deployment of technologies based on its saccharification. We recently reported a possible strategy to resolve this conundrum: using cellulases under “RAging” - a solvent-free process that utilizes enzymes under mechanochemical conditions - to achieve fast, efficient hydrolytic depolymerization of cellulosic materials into glucose. β-Glucosidases catalyze the last and often limiting step of this process, i.e. the formation of glucose from cellobiose. Here, we reveal the high sensitivity of β-glucosidases to ball milling, as well as an unexpected stabilization effect of inert surfaces, enabling the protection of β-glucosidases under mechanochemical treatment. This approach provides an unexpected strategy to control the reactivity of enzymes under mechanochemical conditions. Finally, our results also provide the very first demonstration of enzymatic equilibrium under mechanochemical conditions.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".