MétaCan
Menu
Back to cohort
Record W2539415090 · doi:10.1021/acs.jafc.6b03755

Fructosazine, a Polyhydroxyalkylpyrazine with Antimicrobial Activity: Mechanism of Inhibition against Extremely Heat Resistant <i>Escherichia coli</i>

2016· article· en· W2539415090 on OpenAlexafffund
Abhishek Bhattacherjee, Yuliya Hrynets, Mirko Betti

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2016
Typearticle
Languageen
FieldChemistry
TopicAntimicrobial agents and applications
Canadian institutionsUniversity of Alberta
FundersAlberta Innovates Bio SolutionsNatural Sciences and Engineering Research Council of CanadaAlberta Livestock and Meat Agency
KeywordsEscherichia coliPropidium iodideAntimicrobialBiochemistryAcetic acidChemistryBacteriaMechanism of actionMicrobiologyBiologyProgrammed cell deathIn vitroApoptosis

Abstract

fetched live from OpenAlex

Fructosazine is a polyhydroxyalkylpyrazine recently reported to have antimicrobial activity against heat-resistant Escherichia coli AW 1.7. This study investigated fructosazine’s antimicrobial mechanism of action and compared it to that of riboflavin. Fructosazine–acetic acid was effective in permeabilizing the outer membrane based on an evaluation of bacterial membrane integrity using 1- N- phenyl-1-naphthylamine and propidium iodide. The uptake of fructosazine by E. coli was pH-dependent with a greater uptake at pH 5 compared to pH 7 for all times throughout 16 h, except 2, 3, and 10 h. Fructosazine generates 1 O 2, which is partially why it damages E. coli . DNA fragmentation was confirmed by fluorescence microscopy, and the fructosazine–acetic acid was the second most intense treatment after riboflavin–acetic acid. Electron microscopy revealed membrane structural damage by fructosazine at pH 5 and 7. This study provides evidence that fructosazine exerts antimicrobial action by permeabilizing the cell membrane, damaging membrane integrity, and fragmenting DNA.

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.

How this classification was reachedexpand

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 score0.002
Threshold uncertainty score0.485

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 communication0.0000.000
Open science0.0000.000
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 head0.007
GPT teacher head0.181
Teacher spread0.174 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Agricultural and Food ChemistrySame topicAntimicrobial agents and applicationsFrench-language works237,207