Wavelength-specific UV-C inactivation kinetics of foodborne pathogens in stirred liquid suspensions and droplets on contact surfaces
Bibliographic record
Abstract
This study investigates the inactivation kinetics of B. cereus ATCC 14579 (endospores) and E. coli ATCC 25922 when exposed to UV-C light at varying wavelengths (254, 265, 279, and 284 nm). Two scenarios were investigated: stirred liquid suspensions and unstirred static settings (droplets on stainless steel surfaces). The results reveal that the UV-C transmittance through microbial suspensions follows order of 284 > 279> 254 > 265 nm. In stirred conditions, the inactivation kinetics of microbial suspensions exhibited a correlation with the absorption spectra, leading to inactivation kinetic constants order: 265 > 254>279 > 284 nm. However, when focusing on comparative studies of B. cereus inactivation under unstirred conditions, a different order emerged: 265 > 279>284 > 254 nm. Notably, the overall trend revealed that inactivation kinetic constants tend to be higher in unstirred settings, apart from the 254 nm. These variations in inactivation order and kinetic constants can be attributed to enhanced protein damage at wavelengths 265, 279, and 284 nm under unstirred conditions compared to stirred. In summary, we observed effective germicidal efficiency of UV-C light at 265 nm, in both experimental conditions. However, for experimental conditions involving low light transmission through microbial structures such as biofilms, wavelengths of 279 and 284 nm holds considerable promise, ensuring efficient light penetration and enhanced inactivation efficiency.
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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".