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Record W4409800127 · doi:10.1016/j.ecmx.2025.101033

Fast biodiesel production using K2Fe3O4 catalyst for CH3O• radical-mediated transesterification of soybean, Jatropha and Ricinus oils

2025· article· en· W4409800127 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnergy Conversion and Management X · 2025
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsnot available
FundersSecretaría de Investigación y Posgrado, Instituto Politécnico NacionalSwine Innovation Porc
KeywordsTransesterificationJatrophaBiodieselBiodiesel productionRicinusCatalysisPulp and paper industryBiofuelChemistryOrganic chemistryWaste managementEngineeringBiochemistry

Abstract

fetched live from OpenAlex

• K 2 FeO 4 is highly active for transesterification due to CH 3 O • attack on glycerides. • ∼96 % conversion of soybean and Jatropha curcas L oils in shorter than 5 min. • FAMEs (biodiesel) properties fulfill the ASTM D6751 standard. • Catalyst dosage displays the greatest impact on triglyceride conversion and yield. The catalysis of potassium ferrate (K 2 FeO 4 ) is herein tested towards the heterogeneous transesterification with three triglyceride sources: Jatropha curcas L. oil (JCO), Ricinus communis oil (RCO), and industrial soybean oil (SBO). A Box-Behnken experimental design (BBD) is used to maximize the biodiesel production screening the following factors: stirring speed (125 to 700 RPM), methanol to oil molar ratio (6:1–16:1), catalyst load (0.15 to 6 wt%). The optimized reaction conditions resulting from a response surface methodology (RSM) allowed maximum conversions of 97.26, 95.85, and 74.85 % for JCO, SBO and RCO in 1 h, respectively. While these optimal performances were found adopting the following collected factors: stirring speed: 293, 357 and 433 RPM; Catalyst dosage: 3.28, 4.40, and 4.11 wt%; Methanol to oil molar ratio: 16:1, 16:1, and 11:1 for JCO, SBO and RCO, respectively. Transesterification reactions are monitored at different times revealing that 5 min is enough to reach conversions higher than 95 % for JCO and SBO, owing to the CH 3 O • formation rapidly attacking the double bonds of triglyceride, diglyceride and monoglyceride. Proton nuclear magnetic resonance ( 1 H NMR) is used to prove the methyl esters production, Fourier Transform Infrared Spectroscopy (FTIR), and Gas Chromatography to identify the fatty acid profiles of each oil; while acid number, density, viscosity, and oxidative stability are determined for the three oils and their corresponding methyl esters. Additionally, heating value, flash point, cloud point, and pour point are measured for the biodiesel produced according to the ASTM D6751.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.578
Threshold uncertainty score0.422

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 head0.011
GPT teacher head0.214
Teacher spread0.203 · 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