{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/54520"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/54520","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Design of experimental setup for identification of parameters for optimal aerosolization of measles vaccine","abstract":"Given the pressing worldwide need for measles vaccination coverage, measles vaccine administration via inhalation is a viable option which overcomes many obstacles currently facing vaccine distribution. Although aerosolization is well understood, studies have focused on pharmaceuticals and very little data is available regarding vaccines. The proposed study analyzes the relationships between various pre- and post-aerosolization parameters in order to calculate the \"aerosol fingerprint,\" or combination of pre-aerosolization parameters optimized to produce the most effective aerosol particle size distribution for measles vaccination. Relevant pre-aerosolization parameters are identified as relative humidity, nebulizer temperature, vaccine reconstitution, solution pH, surface tension, viscosity, air pressure, and nebulizer geometry. Relevant post-aerosolization parameters are identified particle size distribution, aerosolization endurance and bioavailability, and drug delivery rate. Sensing, actuation, automation and special concerns for each variable are considered.","abstract_html":"Given the pressing worldwide need for measles vaccination coverage, measles vaccine administration via inhalation is a viable option which overcomes many obstacles currently facing vaccine distribution. Although aerosolization is well understood, studies have focused on pharmaceuticals and very little data is available regarding vaccines. The proposed study analyzes the relationships between various pre- and post-aerosolization parameters in order to calculate the &quot;aerosol fingerprint,&quot; or combination of pre-aerosolization parameters optimized to produce the most effective aerosol particle size distribution for measles vaccination. Relevant pre-aerosolization parameters are identified as relative humidity, nebulizer temperature, vaccine reconstitution, solution pH, surface tension, viscosity, air pressure, and nebulizer geometry. Relevant post-aerosolization parameters are identified particle size distribution, aerosolization endurance and bioavailability, and drug delivery rate. Sensing, actuation, automation and special concerns for each variable are considered.","abstract_has_math":false,"creators":["Nicholson, Laura A. (Laura Ann)"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Mechanical Engineering.","school":null,"contributors":[],"advisors":["John Kim Vandiver."],"committee_chairs":[],"committee_members":[],"year":2009,"date_issued":"2009","date_published":"2009","updated_at":"2026-07-22T22:21:24Z","subjects":["Mechanical Engineering."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/54520","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["John Kim Vandiver."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Dept. of Mechanical Engineering."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Dept. of Mechanical Engineering."]},{"key":"dc:creator","label":"Author","values":["Nicholson, Laura A. (Laura Ann)"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2010-04-28T16:55:54Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2010-04-28T16:55:54Z"]},{"key":"dc:date.issued","label":"Date","values":["2009"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Mechanical Engineering."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 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Although aerosolization is well understood, studies have focused on pharmaceuticals and very little data is available regarding vaccines. The proposed study analyzes the relationships between various pre- and post-aerosolization parameters in order to calculate the \"aerosol fingerprint,\" or combination of pre-aerosolization parameters optimized to produce the most effective aerosol particle size distribution for measles vaccination. Relevant pre-aerosolization parameters are identified as relative humidity, nebulizer temperature, vaccine reconstitution, solution pH, surface tension, viscosity, air pressure, and nebulizer geometry. Relevant post-aerosolization parameters are identified particle size distribution, aerosolization endurance and bioavailability, and drug delivery rate. Sensing, actuation, automation and special concerns for each variable are considered."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.B."]},{"key":"dc:title","label":"Title","values":["Design of experimental setup for identification of parameters for optimal aerosolization of measles vaccine"]}]}],"canonical_facts":{"dc:contributor.advisor":["John Kim Vandiver."],"dc:contributor.department":["Massachusetts Institute of Technology. Dept. of Mechanical Engineering."],"dc:contributor.other":["Massachusetts Institute of Technology. Dept. of Mechanical Engineering."],"dc:creator":["Nicholson, Laura A. (Laura Ann)"],"dc:date.accessioned":["2010-04-28T16:55:54Z"],"dc:date.available":["2010-04-28T16:55:54Z"],"dc:date.issued":["2009"],"dc:description":["Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.","Cataloged from PDF version of thesis.","Includes bibliographical references (p. 29)."],"dc:description.abstract":["Given the pressing worldwide need for measles vaccination coverage, measles vaccine administration via inhalation is a viable option which overcomes many obstacles currently facing vaccine distribution. Although aerosolization is well understood, studies have focused on pharmaceuticals and very little data is available regarding vaccines. The proposed study analyzes the relationships between various pre- and post-aerosolization parameters in order to calculate the \"aerosol fingerprint,\" or combination of pre-aerosolization parameters optimized to produce the most effective aerosol particle size distribution for measles vaccination. Relevant pre-aerosolization parameters are identified as relative humidity, nebulizer temperature, vaccine reconstitution, solution pH, surface tension, viscosity, air pressure, and nebulizer geometry. Relevant post-aerosolization parameters are identified particle size distribution, aerosolization endurance and bioavailability, and drug delivery rate. Sensing, actuation, automation and special concerns for each variable are considered."],"dc:description.degree":["S.B."],"dc:identifier.uri":["http://hdl.handle.net/1721.1/54520"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Mechanical Engineering."],"dc:title":["Design of experimental setup for identification of parameters for optimal aerosolization of measles vaccine"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:21:24Z"}