HR: 0800h
AN: H21A-1000    [Abstracts]
TI: Evaluation of the Factors that Control the Time-Dependent Inactivation Rate Coefficients of Bacteriophage MS2 and PRD1
AU: * Anders, R
EM: randers@usgs.gov
AF: U. S. Geological Survey, 5735 Kearny Villa Rd. Ste. O, San Diego, CA 92123 United States
AU: * Anders, R
EM: randers@usgs.gov
AF: Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697 United States
AU: Chrysikopoulos, C V
EM: costas@eng.uci.edu
AF: Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697 United States
AU: Chrysikopoulos, C V
EM: costas@eng.uci.edu
AF: Department of Civil Engineering, University of Patras, Rio, 26500 Greece
AB: Batch experiments were conducted under both static and dynamic conditions to study the effects of temperature and the presence of sand on the inactivation process of viruses. The male--specific RNA coliphage, MS2, and the {\sl Salmonella typhimurium} phage, PRD1, were used as model viruses for this study. Over 100 oven--baked borosilicate glass bottles with or without Monterey sand were filled with a low--ionic--strength phosphate buffered saline solution containing both bacteriophage and incubated at temperatures of 4$^\circ$, 15$^\circ$, or 25$^\circ$C. The results of the batch experiments indicate that the inactivation process can be represented by a pseudo first-order expression with time--dependent rate coefficients. A combination of high temperature and the presence of sand appears to produce the greatest disruption to the surrounding protein coat of MS2. However, for PRD1, the lower activation energies derived from Arrhenius plots indicate a weaker dependence of the inactivation rate on temperature. Furthermore, the presence of an air--liquid--solid interface in the dynamic batch experiment containing sand produces the greatest damage to specific viral components of PRD1 that are required for infection. These results indicate the use of thermodynamic parameters based on the pseudo first--order inactivation expression allows better prediction of the inactivation of viruses in the environment.
DE: 1829 Groundwater hydrology
DE: 1831 Groundwater quality
DE: 1832 Groundwater transport
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting