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Record W4412738050 · doi:10.1016/j.lwt.2025.118257

Development of high-protein functional crackers enriched with adaptogenic compounds

2025· article· en· W4412738050 on OpenAlexafffund
Carla N. Molina, Nicola Gasparre, Jordi Mañes, Martin G. Scanlon

Bibliographic record

VenueLWT · 2025
Typearticle
Languageen
FieldMedicine
TopicBiochemical effects in animals
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFood scienceComputer sciencePsychologyChemistry

Abstract

fetched live from OpenAlex

Consumers increasingly seek convenient, healthy snacks with innovative flavors and strong nutritional profiles. Traditional crackers are versatile but low in protein. Adding faba bean protein isolate offers a plant-based way to enhance protein content. Incorporating powdered roots from Rhodiola rosea (RR) and Eleutherococcus senticosus (ES) can further provide functional health benefits. This study aimed to develop high-protein crackers enriched with root powders and examined their impact on dough rheology, pasting properties, cracker texture, and bioactive compound stability after processing. RR and ES powders significantly reduced both G' and G'' moduli of the dough and increased apparent peak and final viscosity. Cracker hardness and distance to break decreased with root addition. Quantification of bioactive compounds confirmed that higher RR and ES levels led to increased salidroside, tyrosol, rosarin and eleutheroside E contents. These findings highlight the functional and structural advantages of incorporating Rhodiola rosea and Eleutherococcus senticosus into cracker formulations.

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 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 score0.060
Threshold uncertainty score0.302

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 head0.014
GPT teacher head0.250
Teacher spread0.236 · 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 teacher head, 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

Citations1
Published2025
Admission routes2
Has abstractyes

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