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Record W2328460717 · doi:10.1002/cjce.22501

Valorization of crude glycerol from the biodiesel industry to 1,3‐propanediol by <i>Clostridium butyricum</i> DSM 10702: Influence of pretreatment with ion exchange resins

2016· article· en· W2328460717 on OpenAlexvenueno aff
Marina Loureiro‐Pinto, Gerardo González Benito, Mónica Coca, Susana Lucas, M. Teresa García‐Cubero

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsnot available
FundersUniversidad de Valladolid
KeywordsClostridium butyricumGlycerol1,3-PropanediolFermentationChemistryBiodieselIon exchangePropanediolFood scienceSubstrate (aquarium)Nuclear chemistryChromatographyOrganic chemistryCatalysisIonBiology

Abstract

fetched live from OpenAlex

1,3‐propanediol (1,3‐PD) was biosynthesised with Clostridium butyricum DSM 10702 using crude glycerol as a substrate. The batch fermentation of crude glycerol (70 g/L) without previous purification produced a significant concentration of 1,3‐propanediol (35.9 g/L, Y 1,3‐PD/S = 0.51 g 1,3‐PD/g glycerol) at 37 °C and pH 6.5. The maximum tolerance of C. butyricum DSM 10702 to the inhibitory effect of the substrate was 70 g/L. In fed‐batch fermentation, the 1,3‐PD concentration was similar: 36.1 g/L. Pretreatment processes for biodiesel‐based crude glycerol based on ion exchange resins (Lewatit S8528 and Lewatit GF series) were evaluated. For the two different fermentation modes studied (batch and fed‐batch systems), the pretreatment slightly improved the results reached in fermentations carried out with untreated crude glycerol, especially 1,3‐PD productivity which increased from 0.52 g/(L · h) for crude glycerol to 0.99 g/(L · h) for pretreated glycerol. In batch fermentation of glycerol pretreated with a Lewatit S8528, a concentration of 41.4 g/L of 1,3‐PD was reached, similar to that found in fed‐batch fermentation.

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 score0.002
Threshold uncertainty score0.236

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 head0.004
GPT teacher head0.168
Teacher spread0.164 · 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

Citations18
Published2016
Admission routes1
Has abstractyes

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