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Record W2527833650 · doi:10.1021/acs.jafc.6b00643

Conversion of Thin Stillage Compounds Using Endemic Bacteria Augmented with <i>Lactobacillus panis</i> PM1B

2016· article· en· W2527833650 on OpenAlexafffund
Kornsulee Ratanapariyanuch, Youn Young Shim, Martin J. T. Reaney

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsGenome PrairieUniversity of Saskatchewan
FundersMinistry of Agriculture - Saskatchewan
KeywordsStillageFermentationFood scienceGlycerolAcetic acidLactic acidChemistryLactococcus lactisBacteriaBiologyBiochemistry

Abstract

fetched live from OpenAlex

A consortium of organisms, endemic in wheat-based thin stillage (W-TS), obtained from a commercial ethanol production converts glycerol to 1,3-propanediol (1,3-PD) and lactic acid to acetic acid. We sought to improve conditions for 1,3-PD and acetic acid production to be used in future studies of industrial isolation of these compounds from two-stage fermentation. Occasionally, stillage fermentation proceeded slowly, but an inoculum of Lactobacillus panis PM1B augmented both fermentation rate and extent. Fermentation rate and product yield were enhanced by adjusting pH to 5 daily and adding glucose and glycerol (molar ratio 0.1:1), freeze-dried W-TS, and vitamins (B 2, B 3, and B 12 ). 1,3-PD and 3-hydroxypropionaldehyde (3-HPA) did not inhibit 1,3-PD production during fermentation. Moreover, agitation did not improve fermentation rate or extent. Corn sugar was a suitable substitute for glucose. Fermentation was performed at both 20 and 150 L with 1,3-PD production of 2% (w/v, 20 g/L) being routinely achieved or exceeded.

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 score0.007
Threshold uncertainty score0.230

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 head0.006
GPT teacher head0.177
Teacher spread0.171 · 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
Published2016
Admission routes2
Has abstractyes

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