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Massachusetts Institute of Technology

Leveraging features of nanoscale particulates for information encoding, quantitative sensing and drug delivery

Abstract

dc:description.abstract

It is both uncontroversial and unassailable to assert that small things can often go where big things cannot. It is similarly prosaic to note that at smaller length scales, matter behaves differently than at larger length scales. This thesis exploits these intuitive and simple axioms to yield advances in three independent lines of enquiry: (i) robust and practically accessible encoding of information within microparticles, (ii) rapid, quantitative sensing of hydrophobic colloids and (iii) immunologically-focused drug delivery. Specifically, upconversion nanocrystals are used as the foundation of a novel spatial-spectral patterning motif to produce polymer microparticles with unique, decodable identities. With large single-particle encoding capacities (>10-⁶), an ultralow decoding false alarm rate (<10-⁹), and pronounced insensitivity to both particle chemistry and harsh processing conditions, this architecture enables practical deployment of encoded microparticles in applications with orthogonal requirements, including multiplexed bioassays and covert labeling of objects and packaging for anti-counterfeiting. Next, the large specific surface area of nanoscale objects is exploited by a family of zwitterionic, surfactant-like molecular rotors to develop a broadly applicable tool for sensitive, quantitative, and accessible nanoscale metrology. This tool is shown to address multiple challenges in nanometrology of self-assembled structures, including (i) quantification of surfactant adsorption isotherms on metal oxide surfaces, (ii) determination of self-assembly onset concentration, and (iii) high-throughput readout of drug delivery nanoparticle mass concentration. Finally, the combination of small size and large interfacial area was exploited to design nanoscale formulations for (i) ex vivo delivery to human neutrophils, a significant element of the innate immune system and (ii) targeted delivery of therapeutics to the asthmatic lung.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Chemical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bisso, Paul W. (Paul William)
Advisor dc:contributor.advisor
  • Robert Langer.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/115691
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/115691

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Bisso, Paul W. (Paul William). Leveraging features of nanoscale particulates for information encoding, quantitative sensing and drug delivery. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115691