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Record W2947252109 · doi:10.1080/10942912.2019.1622564

Antibacterial activity of polyphenol-rich pomegranate peel extract against <i>Cronobacter sakazakii</i>

2019· article· en· W2947252109 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Food Properties · 2019
Typearticle
Languageen
FieldNursing
TopicPomegranate: compositions and health benefits
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsEllagic acidPunicaPolyphenolPreservativeChemistryFood scienceAntibacterial activityCronobacter sakazakiiMinimum inhibitory concentrationFood PreservativesAntimicrobialTraditional medicineAntioxidantBiochemistryBiologyBacteriaInfant formulaOrganic chemistry

Abstract

fetched live from OpenAlex

The purpose of the study was to determine if pomegranate (Punica granatum L.) peel contains polyphenolic compounds with antibacterial activity against Cronobacter sakazakii. Minimum inhibitory and bactericidal concentrations of a methanolic extract were found to increase significantly (P < .05) with decreasing temperature (37, 21, 10 °C) and pH (6.0, 5.0, 4.0). Chemical analysis by high pressure liquid chromatography revealed that the elligitannins α- and β-punicalagin were most abundant hydrolysable polyphenolic compounds in the extract, followed by ellagic acid, ellagic acid derivatives and punicalin. Pomegranate peel is a potential source of natural preservatives for the control of Cronobacter sakazakii in food.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.267
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it