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Record W6999578297

The design and synthesis of dendrimers for applications in the pulp and paper industry

2012· dissertation· en· W6999578297 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2012
Typedissertation
Languageen
FieldMaterials Science
TopicDendrimers and Hyperbranched Polymers
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDendrimerCationic polymerizationPulp (tooth)Carboxylic acidPhosphonatePolymerAcetylene
DOInot available

Abstract

fetched live from OpenAlex

Dendrimers find applications in many diverse fields including biology, catalysis, the pulp and paper industry, etc. The distinctive properties of dendrimers leading to their wide applicability include tailorability and high surface group density. In this thesis the design and synthesis of water soluble dendrimers for potential applications as anti-scalants and bactericides, two important areas within the pulp and paper industry, are explored. The dendrimers were constructed on a tetrafunctional core which allows us to obtain a higher number of end groups at a lower generation than in the bi- and trifunctional cores generally employed. We utilized "click" chemistry, or more specifically the copper(I)-catalyzed alkyne-azide cycloaddition (CuAAC) reaction, for both dendrimer synthesis and post-functionalization. The implementation of this methodology required the selection of appropriate acetylene- and azide-terminated building blocks. For this purpose we chose i) an acetylene-terminated molecule having a carboxylic acid end group; and ii) an azide-terminated building block with a diol group at its other end. Using a divergent synthetic methodology in which the azide unit was first linked to the tetrafunctional acetylene core, followed by an esterification with the carboxylic acid group of the acetylene-terminated building block, we constructed acetylene-terminated dendrimers of generations 1-3. Generations 0-2 with terminal acetylene groups were subsequently functionalized with cationic amino groups for an evaluation of their behaviour as bactericides, and phosphonate groups for potential application as anti-scalants. The cationic amino-functionalized dendrimers, G0-NH3+, G1-NH3+ and G2-NH3+, as well as one of the OH-terminated dendrimers, G1, were then evaluated for their bactericidal efficacy. The generation one dendrimer, G1-NH3+, was found to be the most effective bactericide. Additionally it was determined to be more potent than several previously studied dendrimers. The deprotection of the phosphonate-terminated dendrimers from their ethyl esters to the corresponding alcohols was found to be cumbersome, and prevented their evaluation as anti-scalants.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.001

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 head0.021
GPT teacher head0.255
Teacher spread0.235 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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