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Record W7037816220

Evaluation of maleate, fumarate, and succinate diesters as potential green plasticizers

2016· dissertation· en· W7037816220 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2016
Typedissertation
Languageen
FieldMaterials Science
TopicPolymer Science and PVC
Canadian institutionsnot available
FundersInstitute of Human Development, Child and Youth HealthFonds de recherche du Québec – Nature et technologiesCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsPlasticizerHydrolysisYield (engineering)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

The research reported in this thesis aimed at evaluating plasticizer effectiveness and biodegradation rates of diesters synthesised from four-carbon diacids esterified with a linear alcohols ranging from ethanol (C2) to octanol (C8), and one branched alcohol, 2-ethylhexanol. The diacids were chosen due to their structural resemblance to the phthalate molecule, of which two were unsaturated (i.e., maleate: cis; fumarate: trans) and one saturated (i.e., succinate). The goal of this thesis was to gain insight on the influence of the geometry of the central structure and the length and branching of the side chains on plasticizer efficiency and biodegradability. The plasticizer candidates were blended with PVC at varying concentrations and the plasticizer effectiveness was evaluated by the measurement of the glass transition temperature Tg, tensile testing, dynamic mechanical thermal analysis (DMTA), and surface hardness. The obtained results were then compared to similar blends containing the commercial plasticizers DEHP and DINCH®. Biodegradation properties were assessed by exposing the common soil bacterium Rhodococcus rhodocrous (ATCC 13808) to candidate plasticizers with hexadecane as carbon source. The results revealed important differences arising from central structures and indicated that the saturated (succinate) and the cis-structure (maleate) made for the most efficient plasticizers. Further studies of the succinate revealed that any groups hindering free rotation around the central chain of the molecule reduced its plasticizing efficiency. Side chain length was important and maximum efficiency occurred for a side chain length around six carbons. The added ethyl branch in those diesters with 2 ethylhexyl side chains was not found to have an enhancing effect on plasticizer effectiveness. The biodegradation experiments revealed a crucial influence of the central structure, as the saturated compound (succinate) was rapidly degraded and metabolite buildup was small and only transient. Between the two unsaturated compounds, those with the ester groups in trans position (fumarate) were more quickly degraded than those in cis-position (maleate); the latter showing almost no degradation over the course of the experiment. This could also explain the observed slow biodegradation of phthalate diesters, in which the ester groups are in a similar arrangement as in the maleate. Slower degradation rates were found with increasing side chain length as well as branching, but effects were not as important as that of the central structure. Nonetheless, when linear side chains were used, no or only small, transient buildup of the released alcohol was found, contrarily to 2-ethylhexanol which built up significantly during the according experiments.Taken together, dibutyl and dihexyl diesters of succinic- and maleic acid showed the most promising results in terms of plasticizer efficiency and biodegradability, yet further toxicological experiments are required to determine if these are truly "green" plasticizers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.018
GPT teacher head0.263
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2016
Admission routes1
Has abstractyes

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