2026-09-18T17:37:55Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/545202022-01-13T07:54:36Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
John Kim Vandiver.
Nicholson, Laura A. (Laura Ann)
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2010-04-28T16:55:54Z
2010-04-28T16:55:54Z
2009
2009
http://hdl.handle.net/1721.1/54520
560377670
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 29).
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.
by Laura A. Nicholson.
S.B.
29 p.
eng
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Design of experimental setup for identification of parameters for optimal aerosolization of measles vaccine
Thesis
application/pdf
Publication
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<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>
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