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Record W2329252947 · doi:10.1021/ef101154d

Red Mud as a Catalyst for the Upgrading of Hemp-Seed Pyrolysis Bio-oil

2010· article· en· W2329252947 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

VenueEnergy & Fuels · 2010
Typearticle
Languageen
FieldEngineering
TopicBauxite Residue and Utilization
Canadian institutionsUniversity of TorontoWestern UniversityUniversity of Guelph
Fundersnot available
KeywordsDeoxygenationPyrolysisCatalysisChemistryRed mudOrganic chemistryAqueous solutionChemical engineeringNuclear chemistry

Abstract

fetched live from OpenAlex

Hemp-seed pyrolysis bio-oil was upgraded in a batch laboratory-scale pressure reactor under 800 psi (cold) hydrogen gas at 350−365 °C using a non-alkaline, nontoxic Fe x O y /SiO 2 /TiO 2 catalyst [reduced red mud (RRM)] obtained by the reduction of red mud with HOAc/HCCOH. The upgraded liquid obtained was separated into stable organic and aqueous phases. Comparative analyses between the crude oil and the organic and aqueous phases of upgraded products showed that the RRM-upgraded bio-oil is composed of fewer carbonyl-containing and polar oxygenated compounds but more saturated hydrocarbons. The upgraded oil phases are less viscous than the native oil and stable against resin formation for at least 60 days. The catalytic activity of RRM is related to its ability to catalyze both deoxygenation and cracking reactions that convert reactive components (aldehydes, ketones, and carboxylic acids), which make the oil unstable over time, into less reactive deoxygenated products.

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 score0.071
Threshold uncertainty score0.342

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 head0.008
GPT teacher head0.212
Teacher spread0.204 · 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