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UV-Visible Spectroscopy Study of Oxidative Degradation of Sunflower Biodiesel

2011· article· en· W1755918169 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.

venuePublished in a venue whose home country is Canada.
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 science and technology · 2011
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsBiodieselSunflowerAntioxidantPeroxide valueCardanolPeroxideChemistrySunflower oilNuclear chemistryFood scienceMaterials scienceOrganic chemistryHorticultureCatalysisBiology

Abstract

fetched live from OpenAlex

In this study, three antioxidants (blend (hydrogenated cardanol + 5- n -pentadecyl-2- tert -butylphenol), 5- n -pentadecyl-2- tert -butylphenol and ionol BF200) were evaluated for their potential to reduce the degree of oxidation of sunflower biodiesel under thermal stress condition. Each antioxidant was added at a concentration of 1000 ppm. The oxidative degradation was investigated by UV-visible spectroscopy and iodometry were used to monitor the changes using peroxide values. The results showed that, blend and 5- n -pentadecyl-2- tert -butylphenol possess significant potentiality when compared with ionol BF200. The blend and 5- n -pentadecyl-2- tert -butylphenol reduced the absorbance around 31%. The peroxide value showed that, the formulations: sunflower biodiesel/A2, sunflower biodiesel/A3 and sunflower biodiesel/AC showed better results when compared with sunflower biodiesel without antioxidant. Keywords: Antioxidants; Peroxide value; Accelerated oxidation test

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 score0.242
Threshold uncertainty score0.206

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.018
GPT teacher head0.226
Teacher spread0.209 · 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