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Record W2512898357 · doi:10.1080/10942912.2015.1123269

Improving the Digestibility of Lentil Flours and Protein Isolate and Characterization of Their Enzymatically Prepared Hydrolysates

2016· article· en· W2512898357 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Food Properties · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsChemistryHydrolysateHydrolysisProteaseDigestion (alchemy)ChromatographyTrypsinChymotrypsinEnzymatic hydrolysisSodium dodecyl sulfateEnzymeSize-exclusion chromatographyBiochemistryGel electrophoresisPolyacrylamide gel electrophoresisMolecular mass

Abstract

fetched live from OpenAlex

Raw and cooked lentil flours and protein isolate were digested using one-step-multi-enzyme, two-step-sequential multi-enzyme or pre-hydrolyzed with one-step-single-enzyme systems. In vitro protein digestibility values ranged between 22.3 and 94.4%. Sodium dodecyl sulfate polyacrylamide gel electrophoresis revealed minimal loss of intact protein and more extensive digestion after actinidin and acid-protease pre-hydrolysis, respectively. Size exclusion high-performance liquid chromatography analysis confirmed greater loss of high molecular mass polypeptides after acid-protease pre-hydrolysis compared to the other enzymes. Additional digestion of pre-hydrolyzed samples using trypsin-α-chymotrypsin-peptidase resulted in further digestion and release of lower molecular mass peptides. The study demonstrates how different processing treatments and the use of enzymes (alone/in combination) influence lentil protein digestion.

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.

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 score0.016
Threshold uncertainty score0.143

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 head0.010
GPT teacher head0.204
Teacher spread0.193 · 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