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Record W4414253183 · doi:10.26599/fshw.2025.9250693

Taurine: Absorption to Excretion in the Human Body and Applications in Food Engineering

2025· article· en· W4414253183 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFood Science and Human Wellness · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAldose Reductase and Taurine
Canadian institutionsnot available
Fundersnot available
KeywordsTaurineHuman healthAbsorption (acoustics)ExcretionFood safetyHuman studies

Abstract

fetched live from OpenAlex

The prominent role of taurine in human health has garnered extensive attention recently. This undoubtedly elevates the application of taurine in functional foods and food engineering. This review, in conjunction with recent research advancements, conducts a detailed examination of the processes of taurine absorption, transportation, synthesis, and excretion, and discusses the influencing factors in each process. It also collates and analyzes the application limits of taurine in various food categories and related safety research reports in seven countries, namely the European Union, the United States, Canada, Australia, New Zealand, China, and Japan. Furthermore, it provides an overview of the use of taurine as a stabilizer, preservative, and in other aspects in food engineering. Finally, it is discussed that artificial intelligence and machine learning have considerable application value in the intelligent monitoring of the taurine processing process.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.232

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 head0.007
GPT teacher head0.259
Teacher spread0.251 · 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