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Record W4411582201 · doi:10.1016/j.idairyj.2025.106341

Evaluation of aflatoxin M1 binding capacity of kefir exopolysaccharides produced with different fermentation media

2025· article· en· W4411582201 on OpenAlexaff
Laura Roldán-Hernández, Kasra Razmkhah, Alma Cruz‐Guerrero, John F. Trant, Carlos Jímenez-Pérez, Sergio Alatorre‐Santamaría

Bibliographic record

VenueInternational Dairy Journal · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsUniversity of Windsor
FundersConsejo Nacional de Ciencia y Tecnología
KeywordsKefirAflatoxinFermentationFood scienceChemistryBiologyLactic acidBacteria

Abstract

fetched live from OpenAlex

ABSTRACT Kefir-derived exopolysaccharides (EPS) show promise for reducing aflatoxin M1 (AFM1) in dairy. This study assessed the AFM1 retention capacity of freeze-dried EPS (FS) from kefir grains cultured in milk (FS-M) and secondary whey (FS-SW). Both had similar carbohydrate levels, but FS-M contained three times more protein, while FS-SW had 45% higher ash. AFM1 binding was tested in buffer (pH 6.8, 1.0 μg/L AFM1) using 0.5–3.0% FS over 3–24 h. FS-M (1%) retained 52.2% of AFM1 after 24 h, outperforming FS-SW (34.2%), likely due to its higher protein content. HPLC revealed unique protein-associated peaks, suggesting protein involvement in binding. Kefir EPS, especially high-molecular-weight polysaccharides like kefiran, could be effective AFM1-filtering additives in dairy. Further research on extraction and practical applications is needed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.269
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractno

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