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Record W2891644621 · doi:10.1002/mame.201800436

Solution Processed Coating of Polyolefin on Melamine Foams to Fabricate Tough Oil Superabsorbents

2018· article· en· W2891644621 on OpenAlexaff
Qiang Ren, Dai Tian, Xuanyi Jin, Dun Wu, Chenyi Wang, Jian Li, Shiping Zhu

Bibliographic record

VenueMacromolecular Materials and Engineering · 2018
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsMcMaster University
FundersNational Natural Science Foundation of China
KeywordsPolyolefinMaterials scienceComposite materialSorptionCoatingAbsorption of waterMelaminePolyurethaneUltimate tensile strengthPorosityChemical engineeringAdsorptionOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Oil superabsorbent porous materials having rapid oil/water separation, high oil absorption capacity, good mechanical strength, superior recyclability, low costs, and manufacture scalability are still highly desired for oil spill cleanup applications. In this work, commercially available melamine foams are modified through dip‐coating by polyolefin/toluene solution. All characterizations confirm that polyolefin is successfully coated on surfaces of the melamine foam skeleton, giving a micro‐nano scale hierarchical architecture. The modified foams absorb oil and repel water with a water contact angle higher than 130°. The absorption capacities of the modified foams for various oil and solvents are in the range of 42.6–116.5 g g −1 . The retention of sorption capacity remains above 95% after 100 cycles of sorption–squeezing. Mechanical testing reveals that the compressive‐recovery property is kept and the tensile strains at break of the modified foams are improved compared to their original counterparts. This method is facile, inexpensive, and can be easily scaled‐up.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.685

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 head0.011
GPT teacher head0.221
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

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 designBench or experimental
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

Citations13
Published2018
Admission routes1
Has abstractyes

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