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Record W2419104106 · doi:10.1002/macp.201600082

Synthesis and Characterization of Tunable Dual‐pH Switchable Zwitterionic Copolymers

2016· article· en· W2419104106 on OpenAlexafffund
Jian Guo, Zifu Li, Yunhui Li, Qingxia Liu, Ci Yan, Zhenghe Xu

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2016
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsCopolymerCationic polymerizationPolymer chemistryMethacrylateAqueous solutionChemistryQuartz crystal microbalanceAcrylamideAcrylic acidPolymerOrganic chemistryAdsorption

Abstract

fetched live from OpenAlex

A dual‐pH switchable zwitterionic copolymer, poly(2‐(dimethylamino)ethyl methacrylate‐co‐acrylamide‐co‐acrylic acid) (poly(DMAEMA‐co‐AM‐co‐AA)), is synthesized by random copolymerization. Characterized by a sharp change in solution turbidity, the conformation of such polymers in aqueous solutions can be switched at both acidic (low pH) and alkaline (high pH) conditions, with the switching pH being finely tunable by controlling the molar ratio of cationic and anionic functional groups of the copolymer. Study with quartz crystal microbalance with dissipation confirm the origin of the conformational change from electrostatic attractions between cationic DMAEMA and anionic AA functional groups. image

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 score0.037
Threshold uncertainty score0.697

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 head0.005
GPT teacher head0.191
Teacher spread0.186 · 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

Citations0
Published2016
Admission routes2
Has abstractyes

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