Enhanced permeability of recombinant <scp><i>E. coli</i></scp> cells with deep eutectic solvent for transformation of rutin
Bibliographic record
Abstract
Abstract BACKGROUND Whole‐cell catalysis has been widely used because the steps of extracting pure enzyme are omitted and the cost would be greatly saved. However, the efficiency of the whole‐cell catalyst can be limited by the existence of the cell membrane. In the present study, to enhance the binding between an intracellular enzyme and a substrate, ionic liquids (ILs) and deep eutectic solvents (DESs) were used to treat Escherichia coli BL21‐pET21a‐ rhaB1 cells for isoquercitrin production by the biotransformation of rutin. RESULTS The whole‐cell catalyst exhibited the highest catalytic activity with 6% choline chloride‐urea (ChCl/U) after treatment with different concentrations. The ChCl/U‐treated whole‐cell catalyst was more stable than the crude rhaB1, because its optimum pH was closer to neutral and it demonstrated higher temperature tolerance. Under the best conditions of rutin concentration 0.05 g L –1 , pH 6.5 and 40 °C, the isoquercitrin yield reached a maximum of 93.05 ± 1.3%. Additionally, the whole‐cell catalyst retained >52% enzyme activity after five repeated uses. CONCLUSION These results show that using ChCl/U to increase cell permeability improves the catalytic performance of the whole‐cell catalyst of E. coli BL21‐pET21a‐ rhaB1 . This approach has promising potential for the utilization of natural flavonoids. © 2019 Society of Chemical Industry
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".