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Record W2757799153 · doi:10.1021/acssuschemeng.7b02541

Degradable Microgel Wet-Strength Adhesives: A Route to Enhanced Paper Recycling

2017· article· en· W2757799153 on OpenAlexafffund
Dong Yang, Robert Pelton

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2017
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaBASF Corporation
KeywordsCelluloseAdhesiveHydrazideDisulfide bondPolymer chemistryChemical engineeringWet strengthMaterials scienceChemistryOrganic chemistryLayer (electronics)

Abstract

fetched live from OpenAlex

Demonstrated is a new approach to cellulose fiber-based materials that are strong when wet, yet can be recycled after exposure to a weak reducing agent. Poly( N -isopropylacrylamide- co -acrylic acid) microgels were transformed into wet cellulose adhesives by incorporation of hydrazide groups that can form hydrazone linkages to oxidized cellulose. Reductant responsivity was obtained by introducing cleavable disulfide linkages, either in the chains tethering the adhesive hydrazide groups, or by using disulfide cross-links in the microgels. Both types of disulfide derivatives gave about 75% reduction in cellulose wet adhesion after exposure to a reductant. Truly sustainable wood-fiber replacements for plastic packaging must be insensitive to water while being fully recyclable; this work demonstrates two routes to reversible wet cellulose adhesives, facilitating recycling.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.009
GPT teacher head0.256
Teacher spread0.247 · 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.

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
Published2017
Admission routes2
Has abstractyes

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