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Enregistrement W873129817

Synthesis and functionalisation of metal and metal oxide nanoparticles for theranostics

2013· dissertation· en· W873129817 sur OpenAlexfundno aff
V. J. Mundell

Notice bibliographique

RevueNottingham Trent University's Institutional Repository (Nottingham Trent Repository) · 2013
Typedissertation
Langueen
DomaineMaterials Science
ThématiqueNanoparticle-Based Drug Delivery
Établissements canadiensnon disponible
Organismes subventionnairesTrent UniversityNottingham Trent University
Mots-clésMaterials scienceNanoparticleCoatingSuperparamagnetismChemical engineeringMetalIron oxide nanoparticlesNanotechnologyMetallurgyMagnetization
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Metal and metal oxide nanoparticles including calcium oxide, gold, and superparamagnetic iron oxide nanoparticles (SPIOs) were synthesised using a range of techniques including reduction, co-precipitation and spinning disc technology. SPIOs were primarily synthesised via a co-precipitation method using iron (II) chloride, iron (III) chloride and ammonia; a spinning disc reactor and gaseous ammonia were trialled successfully for scale up, producing spherical particles of 10-40 nm in diameter as analysed by TEM. Nanoparticles were coated via a novel solvent-free grinding process which was successful for drug molecules, immunogenic peptides and amino acids; the mode of binding theorised to be taking place via an electrostatic interaction between the SPIO and the carboxyl, amine or hydroxyl groups on the coating materials. Recrystallisation of the coating materials to form HCl salts, was found to increase the binding efficiency with no detrimental effects to the particles. These coated SPIOs were found to be stable in a range of buffered solutions as well as blood and cell culture media. Separation of particles by size exclusion chromatography (SEC), dialysis and magnetic separation was only effective for a small range of coatings, with high speed centrifugation at a speed of 60 000 rpm being confirmed as the only universally successful method. Imaging of citrate capped gold nanoparticles using a CT phantom revealed that gold concentrations of 3700 mg.l-1 were required for in vivo use and so this was not continued. Coated SPIOs however produced relaxation times comparable with Endorem®, as well as being non-toxic. SPIOs coated in this way were more stable than Endorem® and stayed in solution retaining their superparamagnetic properties for periods in excess of 72 days with only a negligible degree of degradation. Various peptides were synthesised using an optimised microwave assisted solid-phase peptide synthesis (SPPS) method using double the suggested coupling times, all of which were analysed for purity and structure using MALDI-TOF MS and HPLC. A cell-penetrating peptide (CPP) synthesised via this method was coated onto SPIOs and mixed into a gel for transdermal delivery using porcine skin. An NMR profile of the skin using a 0.25T NMR MOUSE® before and after application of the gel showed that after an incubation period of 2 hrs the CPP-SPIOs had penetrated the skin leading to a reduction in signal. This has potential applications for subcutaneous drug delivery and hyperthermia. Cell studies using U937 and BMDCs indicated by both ICP and fluorescence microscopy that SPIOs coated with fluorescently labelled peptides were successfully taken up into cells. SPIOs were further investigated as vectors for delivery of immunogenic peptides, namely p53(105) using female C57BL/6 mice. Results indicated that mice immunised with SPIO as a vector showed similar levels of immune response to the p53(105) following immunisation as when incomplete Freund’s adjuvant (IFA) was used. However, SPIO immunisations produced a significantly increased specific response compared to the condition using IFA. Results indicate that SPIO could be successful as a vector for cancer vaccines.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0020,001
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,210
Écart entre enseignants0,198 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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