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Record W2075751235 · doi:10.3109/07388551.2014.992386

Cell immobilization for microbial production of 1,3-propanediol

2015· review· en· W2075751235 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCritical Reviews in Biotechnology · 2015
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBioreactorContinuous production1,3-PropanediolBiochemical engineeringFermentationProduction (economics)Pulp and paper industryEnvironmental scienceProcess engineeringChemistryBiotechnologyFood scienceBiologyEnvironmental engineering

Abstract

fetched live from OpenAlex

Cell and enzyme immobilization are often used for industrial production of high-value products. In recent years, immobilization techniques have been applied to the production of value-added chemicals such as 1,3-Propanediol (1,3-PDO). Biotechnological fermentation is an attractive alternative to current 1,3-PDO production methods, which are primarily thermochemical processes, as it generates high volumetric yields of 1,3-PDO, is a much less energy intensive process, and generates lower amounts of environmental organic pollutants. Although several approaches including: batch, fed-batch, continuous-feed and two-step continuous-feed were tested in suspended systems, it has been well demonstrated that cell immobilization techniques can significantly enhance 1,3-PDO production and allow robust continuous production in smaller bioreactors. This review covers various immobilization methods and their application for 1,3-PDO production.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.042
GPT teacher head0.349
Teacher spread0.306 · 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