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Record W4401971367 · doi:10.1016/j.bcdf.2024.100445

Impact of enzymatically derived manno-oligosaccharides on the growth of select lactobacillus strains under aerobic and anaerobic conditions

2024· article· en· W4401971367 on OpenAlexafffund
Erica Di Pede, O.O. Kolade, Bradley A. Saville

Bibliographic record

VenueBioactive Carbohydrates and Dietary Fibre · 2024
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAnaerobic exerciseMicrobiologyLactobacillusBiologyChemistryFood sciencePhysiologyFermentation

Abstract

fetched live from OpenAlex

This study highlights the ability of beta-MOS derived from coconut processing residues (copra meal) to promote the in vitro growth of Lactobacillus probiotics. Enzymatic hydrolysis conditions were manipulated to produce Low Molecular Weight (LMW) and (HMW) Manno-oligosaccharide (MOS) extracts. The LMW MOS contained more mannose and mannobiose, and the HMW MOS contained more mannotriose and higher molecular weight oligosaccharides. The growth of Limosilactobacillus reuteri , Lactiplantibacillus plantarum and Lacticaseibacillus rhamnosus GG on the MOS Extracts was evaluated and compared with growth on Inulin, FOS and XOS. There was significant growth of each probiotic on the MOS extracts. Probiotic growth was similar on MOS extracts and on FOS, while growth was much lower on XOS and Inulin. Probiotic growth was greater under anaerobic than under aerobic conditions. The results confirm the value of a bioactive compound from copra meal to support human and animal health, while contributing to a circular bioeconomy.

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 score0.116
Threshold uncertainty score0.761

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 studies0.0000.001
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 head0.019
GPT teacher head0.276
Teacher spread0.257 · 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

Citations4
Published2024
Admission routes2
Has abstractyes

Explore more

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