MétaCan
Menu
Back to cohort
Record W2943190976 · doi:10.1080/17597269.2019.1594593

Biodiesel as a non-aqueous medium for the synthesis of nanomaterials: relevance to metallic particulate suspensions in biofuels and their removal

2019· article· en· W2943190976 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

VenueBiofuels · 2019
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsCollege of the North Atlantic
Fundersnot available
KeywordsBiodieselNanomaterialsAqueous two-phase systemMaterials scienceChemical engineeringAdsorptionBiodiesel productionAqueous solutionNanoparticleNanotechnologyBiofuelPhase (matter)ChemistryOrganic chemistryCatalysisWaste management

Abstract

fetched live from OpenAlex

In relevance to materials chemistry, this study presents biodiesel as an important non-aqueous medium for the synthesis of nanomaterials by demonstrating the synthesis of most versatile gold (Au) and silver (Ag) nanoparticles (NPs) in biodiesel medium. We show single-step in situ synthesis of Au and Ag NPs using biodiesels prepared from soybean and olive oil. Both biodiesels proved to be excellent solvents, reducing agents, and stabilizing agents for Au and Ag NPs. Au and Ag NPs were characterized by transmission electron microscope and XRD analyses, and were within the range of ∼10–50 nm. Colloidal stabilization of NPs by the surface adsorption of biodiesel was evaluated by detailed FT-IR analysis and determined to be driven by the ester head group of biodiesel molecules. Biodiesel-stabilized NPs in aqueous phase were efficiently extracted in the organic phase without using any phase transfer agent, suggesting the applicability of biodiesel in entrapping metal particulates and removing them from the aqueous phase with relevance to environmental sustainability.

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)0.000
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 score0.063
Threshold uncertainty score0.439

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 head0.015
GPT teacher head0.234
Teacher spread0.220 · 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