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Record W2353326576

Optimization of fermentation conditions of antibacterial material production by Bacillus subtilis C3

2014· article· en· W2353326576 on OpenAlexaff
Yang Yongqin

Bibliographic record

VenueChina Brewing · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiopolymer Synthesis and Applications
Canadian institutionsScience North
Fundersnot available
KeywordsBacillus subtilisFermentationAspergillus nigerFood scienceAntibacterial activityVolume (thermodynamics)SporeChemistryBacteriaBiologyMicrobiology
DOInot available

Abstract

fetched live from OpenAlex

The screened Bacillus subtilis C3 was used to study the fermentation conditions of antibacterial material production. By measuring antibacterial material of B. subtilis C3 on the inhibition rate of Aspergillus niger spore germination, an orthogonal experiment with 6 factors and 3 levels was conducted to optimize the fermentation condition. The optimum condition was follows: age of inoculums 12 h, inoculums 2%, fermentation medium with fluid volume 75 ml/250 ml, initial pH 7.0, temperature 37℃, fermentation time 48 h. Under the optimized condition, the activities of antibacterial material by B. subtilis C3 increased 26.52% comparing to the non-optimized one.

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)0.001
metaresearch head score (Gemma)0.001
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
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.223
Teacher spread0.218 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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