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Record W4390233296 · doi:10.1007/s00217-023-04429-0

Great potential of flaxseed mucilage

2023· article· en· W4390233296 on OpenAlexaff
Matúš Kučka, Ľubomír Harenčár, Katarí­na Ražná, Janka Nôžková, Przemysław Łukasz Kowalczewski, Michael K. Deyholos, Krzysztof Dziedzic, Iga Rybicka, Joanna Zembrzuska, Miroslava Kačániová, Eva Ivanišová, J. Gažo, Simona Čerteková, Marián Tomka

Bibliographic record

VenueEuropean Food Research and Technology · 2023
Typearticle
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersSlovenská polnohospodárska univerzita v Nitre
KeywordsMucilageFood scienceFunctional foodPolyphenolAntimicrobialSugarAntioxidantChemistryGramBotanyBacteriaBiologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Mucilage is one of the key components of flaxseed (which is also called linseed), and exhibits unique functional properties such as high water-holding capacity, and foamability. As a result, flaxseed mucilage has applications in food, agriculture, medicine and other industries. The composition and functional properties of mucilage vary between genotypes. To explore this variation, we characterized the mucilage of nine diverse varieties of flaxseed according a range of parameters including: morphology, mucilage content, fibre content, minerals, phenolic acids, polyphenols, antimicrobial activity, and antioxidant activity. We found significant differences between the genotypes in almost all of the parameters tested. Furthermore, we found a strong correlation between several of these parameters, including antioxidant activity, hydroxycinnamic acid, and sugar content. Antimicrobial activity against Gram positive bacteria was correlated with fibre content and potassium content, while chlorogenic acid content was correlated with suppression of Gram negative bacteria. These results provide a framework for crop improvement further development of functional and value-added products from flaxseed.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.352
Teacher spread0.293 · 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

Citations24
Published2023
Admission routes1
Has abstractyes

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