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Record W2895623852 · doi:10.1155/2018/4705031

Electrochemical Analysis of Ultrathin Polythiolsiloxane Films for Surface Biomodification

2018· article· en· W2895623852 on OpenAlexfundno aff
Hao-Chun Chiang, Rastislav Levicky

Bibliographic record

VenueInternational Journal of Electrochemistry · 2018
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsnot available
FundersDivision of Chemical, Bioengineering, Environmental, and Transport SystemsDivision of Materials ResearchYork UniversityNew York UniversityNational Science Foundation
KeywordsMaterials scienceAmine gas treatingPolymerElectrochemistryNanometrePolymer chemistryChemical engineeringSurface modificationThermal stabilityPhenyleneChemistryOrganic chemistryComposite materialPhysical chemistryElectrode

Abstract

fetched live from OpenAlex

The ability of different crosslinkers to crosslink nanometer thick films of the polymer poly(mercaptopropyl)methylsiloxane (PMPMS), thus stabilizing these films on solid supports, was investigated. The four crosslinkers included 1,11‐bismaleimidotriethyleneglycol (BM(PEG) 3 ), tris‐(2‐maleimidoethyl)amine (TMEA), bismaleimidohexane (BMH), and 1,1′‐(methylenedi‐4,1‐phenylene) bismaleimide (BMDPM). PMPMS films treated with the four crosslinkers were compared in the effectiveness of achieved crosslinking, continuity and stability of the films to rearrangement at elevated temperatures, and modification with single‐stranded DNA. The results of electrochemical analyses show that more hydrophilic crosslinkers had difficulty reacting fully with PMPMS thiols, even in these nanometer thin layers. This observation highlights the critical importance of selecting crosslinkers that are chemically compatible. Optimal selection of crosslinker yielded films in which the polymer film was largely incapable of rearranging, even at elevated temperatures, yielding reproducible and stable layers. These results validate use of these supports for applications such as monitoring thermal denaturation of immobilized DNA duplexes.

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 score0.036
Threshold uncertainty score0.585

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)0.0010.000

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 head0.309
Teacher spread0.295 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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