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Articles 2491 - 2492 of 2492
Full-Text Articles in Entire DC Network
Development Of A Prototype Lateral Flow Immunoassay (Lfi) For The Rapid Diagnosis Of Melioidosis., Raymond L. Houghton, Dana E. Reed, Mark A. Hubbard, Michael J. Dillon, Hongjing Chen, Bart J. Currie, Mark Mayo, Derek S. Sarovich, Vanessa Theobald, Direk Limmathurotsakul, Gumphol Wongsuvan, Narisara Chantratita, Sharon J. Peacock, Alex R. Hoffmaster, Brea Duval, Paul J. Brett, Mary N. Burtnick, David P. Aucoin
Development Of A Prototype Lateral Flow Immunoassay (Lfi) For The Rapid Diagnosis Of Melioidosis., Raymond L. Houghton, Dana E. Reed, Mark A. Hubbard, Michael J. Dillon, Hongjing Chen, Bart J. Currie, Mark Mayo, Derek S. Sarovich, Vanessa Theobald, Direk Limmathurotsakul, Gumphol Wongsuvan, Narisara Chantratita, Sharon J. Peacock, Alex R. Hoffmaster, Brea Duval, Paul J. Brett, Mary N. Burtnick, David P. Aucoin
Peninsula Medical School
Burkholderia pseudomallei is a soil-dwelling bacterium and the causative agent of melioidosis. Isolation of B. pseudomallei from clinical samples is the "gold standard" for the diagnosis of melioidosis; results can take 3-7 days to produce. Alternatively, antibody-based tests have low specificity due to a high percentage of seropositive individuals in endemic areas. There is a clear need to develop a rapid point-of-care antigen detection assay for the diagnosis of melioidosis. Previously, we employed In vivo Microbial Antigen Discovery (InMAD) to identify potential B. pseudomallei diagnostic biomarkers. The B. pseudomallei capsular polysaccharide (CPS) and numerous protein antigens were identified as potential …
Parameterization Of Pharmaceutical Emissions And Removal Rates For Use In Uk Predictive Exposure Models: Steroid Estrogens As A Case Study, Jd Heffley, Sdw Comber, Bw Wheeler, Ch Redshaw
Parameterization Of Pharmaceutical Emissions And Removal Rates For Use In Uk Predictive Exposure Models: Steroid Estrogens As A Case Study, Jd Heffley, Sdw Comber, Bw Wheeler, Ch Redshaw
School of Geography, Earth and Environmental Sciences
Using local population characteristics and prescription data to predict pharmaceutical concentrations in sewage influent and effluent.