Antimicrobial Efficacy of Natural Phenolic Compounds against Gram Positive Foodborne Pathogens
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>Protection of food from pathogens and spoilage organisms has been achieved by a variety of methods. Due to consumer preference, health and economic concerns in recent years, there is considerable interest to employ natural antimicrobials as an alternative to control the growth of microorganisms. This study evaluates the antimicrobial efficacy of natural plant derived phenolic compounds (PDPC) including chlorogenic acid, coumarin, curcumin, ellagic acid, (-) epicatechin, eugenol, rosmarinic acid, rutin, tannic acid, thymol, thymoquinone, and xanthohumol) as preservatives in food products. Several strains of <em>Bacillus</em>, <em>Listeria </em>and <em>Clostridium </em>species were treated with 12 natural PDPCs. Concentrations of 5, 10, 15, and 20 ppm of each compound were evaluated by broth micro-dilution method and the MICs were determined by using optical density after 24 and 60 hours of incubation. Thymoquinone, xanthohumol and ellagic acid demonstrated the highest antimicrobial efficacy (MIC &lt;20 ppm). Structural alterations in treated bacteria were observed via scanning electron microscopy. The results demonstrated that the PDPCs have varying antimicrobial activities against both aerobic and anaerobic Gram-positive foodborne pathogens following 24 hour and 60 hour incubation periods, respectively. Natural sources of phenolic compounds contain major antimicrobial components and have great potential to control the growth of pathogens and be used as natural antimicrobials and food preservatives for extended storage.</p>This study highlighted the antimicrobial efficacy of some PDPCs which may replace the artificial antimicrobials and preservatives in food industry to partially or completely control or inhibit the growth of harmful bacteria.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it