Accession Number : AD1045963


Title :   Smartphone Enabled Point-of-Care Diagnostics for Operationally Significant Pathogens


Descriptive Note : Technical Report,28 Sep 2016,27 Sep 2017


Corporate Author : Duke University Durham United States


Personal Author(s) : Chilkoti, Ashutosh ; Gunn,Michael


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1045963.pdf


Report Date : 01 Oct 2017


Pagination or Media Count : 28


Abstract : We developed a novel high-throughput screen in microarray format that identifies optimal pairing of antibody pairs, which led to successful identification of optimal antibody reagents for Ebola having excellent sensitivity. We have identified 24 highly promising clones for antibody reagents used for detecting Salmonella. We successfully developed an approach for self-calibrating assay chips that correlate fluorescence intensities to the true known concentration of spiked Ag in serum. We have also identified an optimal strategy for labeling our reagents that is well-suited for our portable assay reader. Furthermore, we have developed 3 redundant designs for our ruggedized, portable reader in case of primary device failure. For assay cassettes, we have devised a simple, low-cost chip that encases all reagents and test components in a user-friendly format. Finally, we devised a development strategy for a smartphone app that automates assay readout.


Descriptors :   DIAGNOSTIC TECHNIQUES (MEDICINE) , EBOLA VIRUS , Salmonella , ANTIBODIES , ANTIGENS , SMART PHONES


Subject Categories : Medicine and Medical Research


Distribution Statement : APPROVED FOR PUBLIC RELEASE