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Record W2901405045 · doi:10.1039/c8ra07915c

Water recycling efficacies of extremely hygroscopic, antifouling hydrogels

2018· article· en· W2901405045 on OpenAlexafffund
Anayet Kabir, Matthew J. Dunlop, Bishnu Acharya, Rabin Bissessur, Marya Ahmed

Bibliographic record

VenueRSC Advances · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHydrogels: synthesis, properties, applications
Canadian institutionsHealth PEIUniversity of Prince Edward Island
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Prince Edward Island
KeywordsSelf-healing hydrogelsBiofoulingChemical engineeringMonomerPolymerMaterials scienceChemistryPolymer chemistryOrganic chemistryMembrane

Abstract

fetched live from OpenAlex

Water harvesting, reusable, and antifouling hydrogels have found various applications in the fields of nanotechnology, biomedicine, food production and agriculture. These water-releasing materials are generally comprised of hygroscopic natural polymers, such as alginate blended with ionic salts or thermo-responsive moieties, to aid the release of water from a network of hydrogels. In this report, we propose a simple strategy to develop novel, synthetic, hygroscopic hydrogels (in the absence of ionic salts or thermo-responsive moieties), capable of absorbing copious amount of water and allow the facile release of water at ambient temperatures, as a function of crosslinking density of the polymer chains. The first step in the development of hygroscopic hydrogels is the development of hygroscopic vitamin B5 analogous or pantothenic acid analogous monomer (B5AMA), by ring opening chemistry. The hygroscopic hydrogels are then prepared from B5AMA monomer at different cross-linker densities by free radical polymerization approach and are evaluated for their antifouling properties and for their water absorbing and release efficacies, as a function of temperature. The release of significant amount of water by B5AMA hydrogels at physiological temperature (37 °C), their repeated water absorption and desorption behavior and excellent antifouling properties, suggest their potential usage as water harvesting materials in arid regions.

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 score0.135
Threshold uncertainty score0.458

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 head0.022
GPT teacher head0.276
Teacher spread0.254 · 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

Citations35
Published2018
Admission routes2
Has abstractyes

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