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Record W6991446975

Hollow microshell through layer-by-layer self-assembly of chitosan/alginate on «E.coli»

2020· dissertation· en· W6991446975 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2020
Typedissertation
Languageen
FieldMaterials Science
TopicPolymer Surface Interaction Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsPolyelectrolyteBiocompatible materialLysisConfocal microscopyCapsulePolymerBiodistribution
DOInot available

Abstract

fetched live from OpenAlex

Hollow microspheres prepared via layer-by-layer (LbL) self-assembled polymers have become a growing interest for developing biocompatible delivery systems for drugs, imaging probes and other macromolecules.The development of these capsules benefits from ease of fabrication, versatility of materials being used and its ability to be tuned to the application by incorporating pH-sensitivity as well as targeting molecules.The LbL method has been used to construct capsules for delivering anti-cancer drugs, insulin and other therapeutics.Furthermore, previous work done in the lab has exploited this technique to obtain polyelectrolyte-coated E. coli for use as a bio-recognition element and discovered that a hollow polyelectrolyte capsule can be formed by spontaneous cell lysis.Following that observation, the current project aims to develop a protocol for making hollow capsules by LbL assembly of natural polyelectrolytes onto E. coli, subsequently lysing the cells and evaluating their efficacy using quantum dots as cargo.The study found that four bilayers of chitosan/alginate can be produced on the surface of the E. coli cells with good stability/minimal aggregation as verified by zeta-potential measurements.TEM and confocal microscopy were also used to characterize the capsule formation, thickness and morphology.Cell lysis was performed using 1% Triton-X buffer with EDTA and lysozyme, which resulted in empty vesicles with a wall thickness of ~50 nm and similar dimensions as the cell template.The design of a tunable and biocompatible delivery system is crucial in controlling the biodistribution of imaging probes to enhance efficacy in the targeted site as well as lower toxicity.ii ABSTRACT (FRENCH) Les microsphres creuses formes par auto-assemblage couche par couche (LBL) de polymre prsentent un intrt grandissant pour le dveloppement de systme biocompatibles de dlivrance de mdicaments, de sonde d'imagerie ainsi que d'autres types de macromolcules.Le dveloppement de ces capsules bnficie de procds de fabrication simples, d'une large varit de matriaux disponibles, ainsi que d'une bonne adaptabilit leurs applications par l'incorporation une sensibilit au pH et des molcules pour le ciblage.La mthode LBL a t employe pour construire des capsules pour la dlivrance de mdicaments anticancreux, d'insuline et d'autres thrapies.De plus, les travaux antrieurs du laboratoire ont utilis cette technique pour obtenir une bactrie E Coli revtue de polylectrolyte utilise comme lment de bioreconnaissance et ont abouti l'obtention d'une capsule creuse de polylectrolyte par lyse cellulaire spontane.Suite de ces observations, le projet actuel vise dvelopper un protocole pour la fabrication de capsules creuses par assemblage LBL de polylectrolytes naturels sur E coli et lyse cellulaire ainsi que l'valuation de leurs capacits par encapsulation de points quantiques.L'tude dmontre que 4 bicouches de chitosan / alginate peuvent tre assembls la surface de E. Coli et prsentant une bonne stabilit comme le confirme les mesures de potentiel zeta.Les microscopies TEM et confocales ont aussi t employes pour caractriser la formation des capsules, leur paisseur et leur morphologie.La lyse cellulaire a t effectue en employant un tampon 1% Triton-X contenant de l'EDTA et du lisozyme, rsultant en la formation de vsicules vides de 50 nm d'paisseur et des dimensions similaires la cellule modle.La conception d'un systme de dlivrance sur mesure et biocompatible est crucial dans le contrle de la biodistribution de sondes d'imagerie pour amliorer l'efficacit de ciblage et diminuer la toxicit.iii ACKNOWLEDGEMENT I would like to thank my supervisor Prof. Maryam Tabrizian for her support, advice and guidance throughout this project.Working with her has been an invaluable

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
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 score0.126
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.002

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 head0.022
GPT teacher head0.275
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

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