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Record W2161108004 · doi:10.1080/09593330903338429

Comparison of protease activities in different<i>Bacillus licheniformis</i>strains using wastewater sludge and synthetic soy medium as raw material

2010· article· en· W2161108004 on OpenAlexafffund
Jyothi Bezawada, S. Yan, R.D. Tyagi, Rao Y. Surampalli

Bibliographic record

VenueEnvironmental Technology · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Production and Characterization
Canadian institutionsInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of CanadaU.S. Environmental Protection Agency
KeywordsBacillus licheniformisProteaseFood scienceFermentationRaw materialWastewaterChemistryPulp and paper industryMicrobiologyBiologyEnzymeBacteriaWaste managementBiochemistryBacillus subtilis

Abstract

fetched live from OpenAlex

The production of extracellular protease by different Bacillus licheniformis strains (ATCC 21415, ATCC 21417 and ATCC 21424) was tested in wastewater sludge as a raw material as well as in synthetic soy medium to compare the capacity of protease production by different strains and to compare the capacity of the medium to provide nutrients for enzyme synthesis. All of the strains showed similar activities in both media. The protease activity was very high in the fermentor in both of the media compared with the shake flask. Results from microbial selection indicated that ATCC 21424 had high potential for protease production using sludge as a growth medium. The observation from this study suggested that wastewater sludge could be used as a raw material (nutrient source) to produce protease for industrial applications.

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 score0.017
Threshold uncertainty score0.501

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 head0.007
GPT teacher head0.239
Teacher spread0.231 · 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

Citations6
Published2010
Admission routes2
Has abstractyes

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