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Record W2771117348 · doi:10.1021/acs.iecr.7b02949

Controlled Synthesis of Poly(acrylamide-<i>co</i>-sodium acrylate) Copolymer Hydrogel Microparticles in a Droplet Microfluidic Device for Enhanced Properties

2017· article· en· W2771117348 on OpenAlexaff
Dizhu Tong, Gurkan Yesilöz, Carolyn L. Ren, Chandra Mouli R. Madhuranthakam

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2017
Typearticle
Languageen
FieldEngineering
TopicInnovative Microfluidic and Catalytic Techniques Innovation
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsDispersityCopolymerAbsorbanceAcrylateAcrylamideMonomerChemical engineeringSwellingMicrofluidicsPolymer chemistrySelf-healing hydrogelsMaterials scienceFourier transform infrared spectroscopyPolymerChemistryChromatographyOrganic chemistryNanotechnology

Abstract

fetched live from OpenAlex

In this study, monodisperse poly(acrylamide- co -sodium acrylate) hydrogel microparticles with a controlled water absorbance capacity were synthesized in a droplet microfluidic device that can be used for enhanced oil recovery applications. The experimental method and the microfluidic device were optimized to produce well-spaced monodisperse monomer droplets that were then polymerized by UV initiation in an oil reservoir. The monomer composition (acrylamide-to-sodium acrylate weight ratio) and the cross-linker concentration were tailored to increase the water absorbance capacity. The copolymer composition was evaluated and confirmed by FTIR spectroscopy measurements. The water absorbance capacity determined by swelling experiments agreed very well with that predicted by Flory–Huggins swelling theory, which relates swelling to the ionic content and the cross-linker concentration.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.000
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.070
GPT teacher head0.320
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2017
Admission routes1
Has abstractyes

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