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oai:www.ideals.illinois.edu:2142/114093 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Cunningham, Brian T. Cunningham, Brian T. Do, Minh N. Smith, Rebecca Lee Zhao, Yang 2022-04-29T21:58:35Z 2024-04-29T21:58:46Z 2021-12 Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-12-01 The student, Fu Sun, accepted the attached license on 2021-12-01 at 10:23. The student, Fu Sun, submitted this Dissertation for approval on 2021-12-01 at 11:09. This Dissertation was approved for publication on 2021-12-01 at 15:49. DSpace SAF Submission Ingestion Package generated from Vireo submission #17327 on 2022-04-29 at 16:10:15 Made available in DSpace on 2022-04-29T21:58:35Z (GMT). No. of bitstreams: 8 SUN-DISSERTATION-2021.pdf: 20509855 bytes, checksum: 3ed6d419e815dec6ae0d3539dae1107b (MD5) ACSdissertationUse.pdf: 499500 bytes, checksum: 75bcfb1b69294b05a91aea8dd7cad2cf (MD5) CID RightsLink Printable License.pdf: 142940 bytes, checksum: 855cb708791c9c686ead885639167049 (MD5) CSR Copyright.pdf: 189480 bytes, checksum: c38dc74b9f77a1482f3d25447ecb8d89 (MD5) LICENSE.txt: 4203 bytes, checksum: ebc15079b9e30adbb7526dd5e8e54542 (MD5) Lab on a Chip (RSC Publishing).pdf: 323670 bytes, checksum: 30b065b6e459c9e5f7270d2c8cd18394 (MD5) Lancet RightsLink Printable License.pdf: 211784 bytes, checksum: 5205df43111fda5676641d099b244dbf (MD5) Rights and Permissions _ PNAS.pdf: 130720 bytes, checksum: 45ed2a9e2f3e85aab44d0e969d6b1074 (MD5) Previous issue date: 2021-12-01 Embargo set by: Seth Robbins for item 123458 Lift date: 2024-04-29T21:58:46Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system Author requested closed access (OA after 2yrs) in Vireo ETD system Limited application/pdf en text Smartphone-based point-of-care detection systems for infectious diseases Sun, Fu 2021-12-01 Engineering 2022-04-29T21:58:35Z Infectious diseases are still among the world’s leading causes of mortality, where disease burden disproportionately impacts the low-income, resource-limited regions. Early detection of infectious disease outbreaks can reduce the ultimate size of the outbreak and the overall morbidity and mortality due to the disease, in which diagnosis plays an important role. As available diagnostic technologies remain expensive, complex, time-consuming, labor-intensive and mainly limited to centralized healthcare facilities or research laboratories, there is an urgent need for low-cost portable platforms that can provide fast, accurate, and ideally multiplex diagnosis of infectious diseases at the point of care. This dissertation reports on the design, fabrication, and demonstration of smartphone-based detection systems for infectious diseases including equine respiratory diseases, coronavirus disease 2019 (COVID-19) and Zika virus disease. Rapid results have been achieved by employing microfluidics-based sample preparation and loop-mediated isothermal amplification (LAMP). The systems have demonstrated high sensitivity and specificity comparable to state-of-the-art laboratory tests. The work reported in this dissertation shows the strong potential of smartphone-based systems for point-of-care diagnosis. Thesis eng http://hdl.handle.net/2142/114093 Copyright 2021 Fu Sun Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Dissertation Ph.D.