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Record W2074273936 · doi:10.2495/wm140391

Biodiesel production from used frying oil and microalgae: a preliminary study

2014· article· en· W2074273936 on OpenAlexafffund
Mostafa Chamoumi, Marc Veillette, Nathalie Faucheux, Michèle Heitz

Bibliographic record

VenueWIT transactions on ecology and the environment · 2014
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsUniversité de Sherbrooke
FundersNatural Sciences and Engineering Research Council of CanadaFonds Québécois de la Recherche sur la Nature et les TechnologiesUniversité de Sherbrooke
KeywordsBiodieselPotassium hydroxideTransesterificationBiodiesel productionMethanolRaw materialFatty acid methyl esterChemistryBiofuelYield (engineering)Pulp and paper industryFood scienceOrganic chemistryCatalysisMaterials scienceBiotechnologyBiology

Abstract

fetched live from OpenAlex

In order to replace 1st generation biodiesel, used frying oil (UFO) and microalgae lipids (Tetraselmis sp.) were tested as feedstocks for biodiesel production. The following conditions were tested for UFO homogenous alkali transesterification: temperature -60C; methanol to UFO molar ratio -6:1; catalyst (potassium hydroxide) to UFO mass ratio -1%; reaction time -10 min. A biodiesel yield of 80% (g biodiesel/g UFO) was obtained with a fatty acid methyl ester (FAME) content of 87% (g FAME/g biodiesel). For microalgae lipids homogenous acid transesterification (catalyst: sulphuric acid), a reaction time of 10 min and a temperature of 68C led to a biodiesel yield of 50% (g biodiesel/g lipid). This study showed the potential of Tetraselmis sp. microalgae as feedstock for biodiesel production even if UFO resulted in a higher biodiesel yield.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.809
Threshold uncertainty score0.381

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 head0.174
Teacher spread0.167 · 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 designOther design
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

Citations2
Published2014
Admission routes2
Has abstractyes

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Same venueWIT transactions on ecology and the environmentSame topicBiodiesel Production and ApplicationsFrench-language works237,207