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Record W1996229351 · doi:10.1111/ijfs.12465

Lactulose: production and use in functional food, medical and pharmaceutical applications. Practical and critical review

2013· article· en· W1996229351 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 Science & Technology · 2013
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsUniversité Laval
FundersFonds de recherche du Québec – Nature et technologies
KeywordsLactulosePrebioticFunctional foodMedicineContext (archaeology)ChemistryFood scienceGastroenterologyBiology

Abstract

fetched live from OpenAlex

Summary Lactulose is a synthetic disaccharide. It can be obtained from lactose by chemical, enzymatic or by electro‐activation synthesis. This review provides the comprehension of lactulose production and its application in medical, pharmaceutical and functional food applications. Lactulose can be used in medical and pharmaceutical applications for the treatment of diseases such as chronic constipation, therapy of portal systemic encephalopathy, inflammatory bowel disease, reducing blood ammonia levels, colon carcinogenesis, tumour prevention and immunology, mineral absorption and for the inhibition of the secondary bile acid formation. However, with the growing interest in functional foods, the use of nondigestible oligosaccharides such as prebiotic ingredients has increased considerably during the recent years. In this context, lactulose as a well‐recognised prebiotic offers excellent possibilities to develop new functional foods. It can be added to several foods.

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)0.001
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.375
Teacher spread0.329 · 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