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Record W4232912084 · doi:10.1139/w01-073

Reduction of linoleic acid inhibition in production of conjugated linoleic acid by<i>Propionibacterium freudenreichii</i>ssp.<i>shermanii</i>

2001· article· en· W4232912084 on OpenAlexvenueno aff
Auli Rainio, Marjatta Vahvaselkä, Tarja Suomalainen, S Laakso

Bibliographic record

VenueCanadian Journal of Microbiology · 2001
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsnot available
FundersValio
KeywordsPropionibacterium freudenreichiiConjugated linoleic acidPropionibacteriumLinoleic acidChemistryFood scienceOleic acidBiochemistryBacteriaFermentationBiologyFatty acid

Abstract

fetched live from OpenAlex

A method for the production of conjugated linoleic acid (CLA) from linoleic acid (LA) using growing cultures of Propionibacterium freudenreichii ssp. shermanii JS was developed. The growth inhibitory effect of LA was eliminated by dispersing it in a sufficient concentration of polyoxyethylene sorbitan monooleate detergent. For the whey permeate medium used, the optimum LA:detergent ratio was 1:15 (w/w). As a result, the cultures tolerated at least 1000 µg·mL–1LA, which was converted to CLA with 57%–87% efficiency. The cis-9, trans-11 and trans-9, cis-11 isomers constituted 85%–90% of the CLA produced. The feasibility of the method was demonstrated also in de Man – Rogosa–Sharpe (MRS) broth.Key words: conjugated linoleic acid, linoleic acid, Propionibacterium freudenreichii ssp. shermanii.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.249
Teacher spread0.235 · 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

Citations34
Published2001
Admission routes1
Has abstractyes

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