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Record W2325718728 · doi:10.1021/la403229g

N-Chlorinated Poly(<i>N</i>-isopropylacrylamide) Microgels

2013· article· he· W2325718728 on OpenAlexafffund
Zuohe Wang, Wing Yan Lam, Robert Pelton

Bibliographic record

VenueLangmuir · 2013
Typearticle
Languagehe
FieldBiochemistry, Genetics and Molecular Biology
TopicHydrogels: synthesis, properties, applications
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsChemistryPoly(N-isopropylacrylamide)Aqueous solutionPolymer chemistryChlorineChemical engineeringLower critical solution temperatureHydrogen peroxidePhase (matter)DiffusionPolymerCopolymerOrganic chemistry

Abstract

fetched live from OpenAlex

The treatment of poly(N-isopropylacrylamide) (PNIPAM) microgels with aqueous bleach (NaClO) at pH 10.5 resulted in the partial conversion of the amide hydrogen to the corresponding chloramide. N-Chlorinated microgels poly(NIPAM-co-NIPAMCl) are more hydrophobic than the parent PNIPAM microgels. Thus, the volume phase transition temperature decreases with increasing chlorination. During chlorination, the microgels coagulate once they undergo a volume phase transition. The chlorination reaction stops once the microgels dehydrate and coagulate, presumably as a result of the decreased diffusion rate of the ClO(-) anion into the microgels. The microgels are reversibly dechlorinated by glutathione (GSH), first giving PNIPAM shell + poly(NIPAM-co-NIPAMCl) core microgels. Because GSH is an important redox actor in biological cells, this work suggests that chlorinated microgels may be employed to deliver active chlorine to targeted cells.

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 score0.001
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)0.0010.000

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 head0.013
GPT teacher head0.228
Teacher spread0.216 · 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

Citations6
Published2013
Admission routes2
Has abstractyes

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