MétaCan
Menu
Retour à la cohorte
Enregistrement W3142510400 · doi:10.22215/etd/2020-14229

Pressurized Metered-Dose (pMDI) Aerosol Spray Deposition in Large-and Medium-Volume Spacers

2020· dissertation· en· W3142510400 sur OpenAlexaff
Nicholas Ogrodnik

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineMedicine
ThématiqueInhalation and Respiratory Drug Delivery
Établissements canadiensCarleton University
Organismes subventionnairesnon disponible
Mots-clésDeposition (geology)AerosolSalbutamolVolumetric flow rateMaterials scienceVolume (thermodynamics)ChemistryAsthmaMedicineMechanicsInternal medicineGeologyOrganic chemistryPhysics

Résumé

récupéré en direct d'OpenAlex

Spacers (or holding chambers) are typically used with pressurized metered-dose inhalers (pMDIs) by patients suffering from chronic lower respiratory tract diseases such as asthma and chronic obstructive pulmonary disease (COPD).Attachments such as spacers provide a number of benefits including: a reduction of the "Cold Freon effect 1 ", better coordination (between pMDI actuation and inhalation), and a reduction of the inertial impaction of the medication in the oropharyngeal tract and oropharynx.These factors improve the inhalation of medication resulting in a larger percentage of medication delivered to the lungs when using a spacer device.However, spacer devices can also cause a loss of medication delivered by the pMDI due to deposition of the medication on the walls of the spacer itself.As such, it is important to understand the mechanisms which cause this medication loss to allow for future spacer devices to be designed more efficiently.Regional deposition of the medication, salbutamol sulphate, was studied in a medium-and large-volume spacer, namely, the Volumatic™ and OptiChamber® spacer.This study was completed using both experimental and numerical analyses.Experiments were conducted at typical inspiratory flow rates ranging from 30 to 60 L/min, which were typical for medication delivery.The amount of deposition of medication in the spacer device was assessed using spectrophotometry.Computational fluid dynamics (CFD) was also used to allow the implementation of particle tracking and quantify the 1 It should be noted that chlorofluorocarbons (CFCs) are no longer used in pMDIs and, as such, Freon is no longer present in the inhalers.However, the concept of a cold plume impacting the back of the throat (which was described by the Cold Freon effect) is still present in pMDIs even with current propellants.iii deposition (and its mechanism) numerically at a flow rate of 30 L/min.Simulations used both mean flow and turbulent particle tracking, applying unsteady Reynolds-averaged Navier-Stokes (URANS) equations with a shear stress transport (SST) turbulence model.Deposition of salbutamol sulphate in the Volumatic™ and OptiChamber® spacers was found to be greater in the lower half as opposed to the upper half of the spacer due to a downward spray angle.Additionally, it was determined more deposition of medication could be expected in the distal half of the spacer as opposed to the proximal half.An increase in flow rate demonstrated a minimal increase in the medication delivered to the inline filter which was analogous to that reaching the patient.The numerical analysis demonstrated that turbulence effects are likely to cause deposition in both the Volumatic™ and OptiChamber® spacer.Results suggested that a larger flow rate does not necessarily allow for more medication to be delivered, it acts only to shift the region of the deposition.As such, it is conjectured that each spacer should have an optimal flow rate as to where the most medication will be delivered without excessive inhalation by the patient.I would like to express my sincerest gratitude to my thesis supervisor, Professor Edgar Matida, for all the support, guidance and encouragement provided throughout my studies, during both my undergraduate and graduate research.I always appreciated your patient approach and positive attitude throughout my academic journey.This gratitude is extended to my colleagues as well, providing me clarity in times of stress, always willing to lend a helping hand and to listen whenever I needed a voice of reason.At home, I would like to thank my partner, as without her encouragement, and her never-ending love and support, I would not be where I am today.Your grace and passion mean the world to me.To my parents and brother, as well, who supported my education, encouraged me to be my best and were always there with advice and a home cooked meal whenever I needed to vent.I am sure, Mom, you would be happy to hear I am finally done!To my partner's family, who were always so understanding and caring.You are a wonderful bunch, bringing so much positivity and kindness (and great food!) to my life.Lastly

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,009
Score d'incertitude au seuil0,031

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0090,004

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 Opus0,013
Tête enseignante GPT0,273
Écart entre enseignants0,259 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations1
Publié2020
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetInhalation and Respiratory Drug DeliveryTravaux en français237 207