Synergistic photoinactivation of Escherichia coli and Listeria innocua by curcumin and lauric arginate ethyl ester micelles
Bibliographic record
Abstract
This study evaluated the changes in dispersibility in the aqueous phase, chemical stability, and antimicrobial activity of curcumin after being encapsulated in a lauric arginate ethyl ester (LAE) micelle. Stock curcumin-LAE solutions were prepared by titrating curcumin dissolved in ethanol into LAE aqueous solutions (pH 3.5). The LAE in the stock solutions inhibited the crystallization and prevented the chemical degradation of curcumin during storage at 20 °C. The antimicrobial activity of the curcumin-LAE solutions against Escherichia coli (E. coli) and Listeria innocua (L. innocua) cocktails was assessed by exposing the sample to UV-A light (λ = 365 nm) for 5 min. For samples with both LAE and curcumin at pH 3.5 during irradiation, synergistic antimicrobial activity was observed. The release of protein or nucleic acid from the cells indicated an increase in its membrane permeability after treatments which was due to LAE-facilitated interaction between the photosensitizer and the membrane. LAE could inactivate both bacteria within 10 min without UV-A light irradiation, only at pH 7, which shows that LAE's antimicrobial efficacy depends on the pH. Therefore, microbial inactivation by two mechanisms, photosensitization and permeability operating simultaneously, produced a curcumin-LAE solution that could inactivate bacteria at a broad pH range.
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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) | 0.000 | 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 | 0.000 | 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".