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Record W4391946952 · doi:10.1080/17597269.2024.2315371

Catalytic conversion of chicken fats into fuel grade hydrocarbons

2024· article· en· W4391946952 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 · 2024
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsWestern University
FundersShahjalal University of Science and Technology
KeywordsCatalysisEnvironmental scienceWaste managementChemistryBusinessEnvironmental chemistryOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

Fatty acid is considered as a renewable source for producing transportation fuel. As there is an ongoing price hike of diesel and kerosene as well as a lack of sustainable fuel to mitigate global climate change, the current study developed a one-step process of fuel grade hydrocarbons production from low-grade chicken fats (as a fatty acid source) using NiO/γ-Al2O3 catalysts. Results showed that straight-chain hydrocarbons were obtained through deoxygenation of chicken fats at different temperatures (350 to 400 °C) and reaction times (0.25 to 1 h). 65% liquid yield and 87% degree of deoxygenation were obtained at the optimum reaction conditions (400 °C and 1 h) using 5 wt%NiO/γ-Al2O3 catalyst, whereas the liquid product contains 18.7% C8 to C15 alkanes, 38.5% hexadecane, 39% heptadecane and 3.8% C18 to C20 alkanes. Liquid product has a similar high heating value (HHV) and density as a commercial fuel such as diesel. This work opens a new research window in the field of green energy to improve global energy security.

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 score0.296
Threshold uncertainty score0.346

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 head0.013
GPT teacher head0.231
Teacher spread0.218 · 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