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Record W4367549875 · doi:10.1002/macp.202300111

Synthesis and Structure‐Driven Acid‐Catalyzed Degradation of Benzoic Cyclic Acetal‐Labeled PEG Precursors toward Shell‐Sheddable PLA Block Copolymer Synthesis

2023· article· en· W4367549875 on OpenAlexaff
Kamaljeet Kaur Bawa, Chaitra Shetty, Newsha Arezi, Jung Kwon Oh

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2023
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsConcordia University
Fundersnot available
KeywordsCopolymerEthylene glycolChemistryPolymer chemistryBenzoic acidHydrolysisAcetalCatalysisRing-opening polymerizationEtherPolymerizationOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

Abstract The synthesis of acid‐degradable poly(ethylene glycol) (PEG) precursors labeled with benzoic cyclic acetal (BzCA) is reported. To get an insight into their acid‐catalyzed hydrolysis, three precursors are designed with spacers exhibiting different inductive effects between PEG and BzCA linkage. The 1 H‐NMR analysis confirms the order of increasing acid‐catalyzed hydrolysis to be ether > ester oxygen > ester carbonyl, which can be attributed to their ability to stabilize benzylic carbocation intermediates formed during hydrolysis. The formed precursors tend to be stable under a tin‐catalyzed condition for ring opening polymerization of lactide (LA), thus enabling the synthesis of well‐controlled acid‐degradable PEG‐based PLA block copolymers labeled with BzCA linkage at the block junction. When being exposed to acidic pH, the copolymers degrade through the cleavage of the junction BzCA linkages. These results guide the design principle of acid‐degradable shell‐sheddable BzCA‐bearing block copolymers for control over their acid‐catalyzed degradation and potentially drug release kinetics.

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 categoriesMeta-epidemiology (narrow)
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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.013
GPT teacher head0.214
Teacher spread0.201 · 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.

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

Citations3
Published2023
Admission routes1
Has abstractyes

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