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Record W3047001839 · doi:10.1002/ceat.201900469

Hybrid Extraction of Oily Sludge by Tertiary Amines and Protonated Tertiary Amines

2020· article· en· W3047001839 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

VenueChemical Engineering & Technology · 2020
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsMinistry of Agriculture
FundersNational Natural Science Foundation of China
KeywordsProtonationChemistrySolventExtraction (chemistry)Solvent extractionTertiary amineWettingAbsorption (acoustics)Organic chemistryChromatographyNuclear chemistryIonChemical engineeringMaterials science

Abstract

fetched live from OpenAlex

Abstract A green and effective extraction of oily sludge was completed by a hybrid process with tertiary amines (TA) and protonated tertiary amines (PTA), where PTA is the protonated state of TA. Compared with only TA, the crude oil recovery was improved by 3–5 % by the addition of PTA and less solid remained in the recovered crude oil. Additionally, the wettability improved with the absorption of positively charged ions of PTA on the sludge, and the interaction between heavy alkanes of crude oil and PTA promotes the detachment of crude oil from the sludge surface, enhancing the hydrophilicity of sludge. More importantly, the incomplete recovery of TA exactly takes the role of the PTA in the regenerated mixture, which can reduce the loss of solvent.

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 score0.016
Threshold uncertainty score0.838

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 head0.004
GPT teacher head0.198
Teacher spread0.194 · 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