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Record W2468458427 · doi:10.1021/bk-2010-1043.ch029

Bio-Based and Biodegradable Aliphatic Polyesters Modified by a Continuous Alcoholysis Reaction

2010· book-chapter· en· W2468458427 on OpenAlexaff
James H. Wang, Aimin He

Bibliographic record

VenueACS symposium series · 2010
Typebook-chapter
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsKimberly-Clark (Canada)
FundersKimberly-Clark
KeywordsPolyesterPolylactic acidMaterials scienceCatalysisExtrusionPolymer chemistryFiberRheologyReactive extrusionBiodegradable polymerLactideChemical engineeringPolymerOrganic chemistryComposite materialChemistryPolymerization

Abstract

fetched live from OpenAlex

A novel approach was developed to chemically tailor biodegradable aliphatic polyesters such as polylactic acid (PLA) and polybutylene succinate (PBS) for targeted applications. The reactive extrusion process utilized a catalyzed alcoholysis reaction to controllably cut the aliphatic polyester polymer chains to the desired lengths. During this continuous reaction, aliphatic polyesters reacted with a solution of a diol or functionalized alcohol and a catalyst in melt phase, resulting in modified aliphatic polyesters with hydroxyalkyl chain ends or other functional chain ends useful for further reactions or modifications. Titanium propoxide and dibutyltin diacetate were used as catalysts for alcoholysis reactions of PLA and PBS respectively. It was found that by selectively controlling the alcoholysis conditions, the molecular weights and melt rheology of modified aliphatic polyester were modified to make them suitable for meltblown nonwoven processing. Meltblown nonwovens were successfully spun from both modified PLA and modified PBS, fiber-to-fiber bonding and excellent mechanical properties were achieved from the modified bio-based and biodegradable meltblown nonwoven.

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: Other · Consensus signal: Other
Teacher disagreement score0.240
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.014
GPT teacher head0.200
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.

Study designBench or experimental
Domainnot available
GenreOther

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

Citations2
Published2010
Admission routes1
Has abstractyes

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