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Record W4407396506 · doi:10.1007/s43939-025-00207-9

Bovine biowaste derived nanocellulose for pyrethrin stabilization and controlled release

2025· article· en· W4407396506 on OpenAlexafffund
Samuel M. Mugo, Weihao Lu

Bibliographic record

VenueDiscover Materials · 2025
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsMacEwan University
FundersNatural Sciences and Engineering Research Council of CanadaMacEwan University
KeywordsNanocelluloseChemistryControlled releasePulp and paper industryChromatographyChemical engineeringCelluloseEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Sustainable industrial and food production technologies are in demand with the heightened public environmental consciousness. For example, there is growing demand for organic agriculture where synthetic pesticides are replaced with biopesticides. While effective in the short term, biopesticides are unstable and decompose rapidly in nature, losing their pesticidal action. As such the use of biopesticides can be uneconomical. Pyrethrins are a good example of biopesticides that have found widespread application in both crop and animal husbandry. To improve pyrethrin stability, this article will demonstrate bovine biowaste derived nanocellulose (BBNC) as an effective support for stabilizing pyrethrins, and for controlled release for up to one month. The BBNC demonstrated functional similarities to commercial cellulose nanocrystals, hence the article points to a potential valorization technology potential for bovine biowaste.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.013
Threshold uncertainty score0.737

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.014
GPT teacher head0.293
Teacher spread0.280 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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