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Record W4389136659 · doi:10.1163/18750796-20222806

Biodegradation of aflatoxin B1 by Aspergillus terreus HNGD-TM15 and its degradation mechanism

2023· article· en· W4389136659 on OpenAlexaff
Ting Wu, Mingxiao Ning, Shuang Zhang, Yanli Xie, Qunyang Li, Shi‐Yong Sun

Bibliographic record

VenueWorld Mycotoxin Journal · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsMinistry of Agriculture
FundersHenan UniversityHenan University of Technology
KeywordsAspergillus terreusBiodegradationAflatoxinChemistryHydrolysisFermentationDegradation (telecommunications)MycotoxinStrain (injury)Food scienceChromatographyOrganic chemistryBiology

Abstract

fetched live from OpenAlex

Abstract The Aspergillus terreus strain HNGD-TM15 that was isolated from soil grown with rosemary was shown to efficiently degrade aflatoxin B 1 (AFB 1 ). Specifically, AFB 1 was degraded by the strain’s fermentation broth at a maximum degradation rate of 98.3%. HPLC and LC-MS analyses detected a degradation product with an m/z ion value of 312.0636. Its molecular formula was C 18 H 39 NO 3 , which was tentatively identified as 2-amino-1, 3,4-octadecatriol. Based on LC-MS results and further analysis, it was revealed that a series of reactions, such as decomposition, reduction (lactone ring hydrogenation) and substitution (hydrolysis), occurred during the degradation of AFB 1 . Therefore, A. terreus HNGD-TM15 has a great potential for application in the detoxification of AFB 1 contaminating food and feed products.

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)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 head0.016
GPT teacher head0.212
Teacher spread0.196 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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