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Record W3034210969 · doi:10.1002/leg3.44

Legume lipoxygenase: Strategies for application in food industry

2020· article· en· W3034210969 on OpenAlexafffund
Yuan Shi, Ronit Mandal, Anika Singh

Bibliographic record

VenueLegume Science · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Parasitism and Resistance
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLipoxygenaseIngredientLegumePolyunsaturated fatty acidFood industryFood scienceFunctional foodBiochemistryNutraceuticalChemistryFatty acidBiotechnologyBiologyEnzymeBotany

Abstract

fetched live from OpenAlex

Abstract Lipoxygenase (LOX) is a widely distributed enzyme in plant and animal cells. It catalyzes the oxidation of polyunsaturated fatty acid into fatty acid hydroperoxides. LOX is also associated with the production of aroma substrates, color changes, and alternation of physico‐chemical characteristics. The associated reaction could be either desirable or undesirable in food production. An understanding of LOX characteristics and functional principles is essential for utilizing LOX as a natural food ingredient. Legumes are nutrient‐dense food ingredient and also serve as a good source of LOX. This paper is focused on the biological function of LOX in legumes, the history of legume LOX, the application of legume LOX in the food industry, and the inhibition strategies of unwanted LOX‐catalyzed reaction.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.025
GPT teacher head0.241
Teacher spread0.216 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations73
Published2020
Admission routes2
Has abstractyes

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