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Record W2040881998 · doi:10.1021/ma0478308

Synthesis and Characterization of Functional Methacrylate Copolymers and Their Application in Molecular Imprinting

2005· article· en· W2040881998 on OpenAlexaff
Zhao Li, Michael Day, Jianfu Ding, Karim Faïd

Bibliographic record

VenueMacromolecules · 2005
Typearticle
Languageen
FieldChemistry
TopicAnalytical chemistry methods development
Canadian institutionsInstitute for Microstructural Sciences
Fundersnot available
KeywordsMethacrylateCopolymerPolymer chemistryMethacrylic acidPolymerMonomerPolymerizationMaterials scienceChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Novel molecularly imprinted polymer systems have been designed that incorporate in a preformed polymer both specific recognition functions and cross-linkable groups. Copolymers of 2-methacryloylethyl methacrylate and methacrylic acid P(MAEMA- co -MAA) with different compositions have been synthesized and characterized. The living free radical polymerization of 2-(trimethylsilyloxy)ethyl methacrylate (HEMA-TMS) and tert -butyl methacrylate (tBMA) with different monomer feed ratios gives a series of random copolymers. These materials can then be further functionalized by methacryloylation of the pendant hydroxyl group and acid hydrolysis of tert -butyl groups. The resultant copolymers were characterized by 1 H NMR, FT-IR, DSC, and TGA. These copolymers can then be imprinted with a variety of chemical templates possessing complementary functionalities, forming strong noncovalent and specific binding interactions. These polymer−template matrices can then be readily cross-linked by appropriate posttreatment, such as irradiation or heating in the presence of initiators, either in the bulk or as a film deposited on a suitable substrate, to lock the recognition cavities. The templates can then be removed by thorough washing. Preliminary experiments reported here show that these copolymers are highly selective MIPs toward theophylline in comparison to comparable molecules with similar chemical structures such as caffeine and theobromine.

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 score0.071
Threshold uncertainty score0.467

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 head0.010
GPT teacher head0.232
Teacher spread0.223 · 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

Citations53
Published2005
Admission routes1
Has abstractyes

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