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under evaluation may be disabled or induced into a false alarm state when the technology 616 is incapable of differentiating natural biological background from the challenge materials. 617 Test site selection must factor in these details to ensure success. Understanding the soil 618 contents, including its variation through the seasons, allows interpretation of performance 619 data and false-alarms. Collected test data can then be used to adjust detection algorithms 620 to optimize sensitivity and selectivity.

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11.0 References

1. Beck, L., Coates, S.G., Gee, J., Hadfield, T., Jackson, P., Keim, P., Lindler, L.,

Olson, V., Ostlund, E., Roberto, F., Samuel, J., Sharma, S., Tallent, S., & Wagner,

D.M. (2018) J of AOAC Int. 101 , 1667-1707.

2. Weil, R.R. & Brady, N.C. (2017) The Nature and Properties of Soils, 15 th Edition,

Pearson Education Ltd., New York, NY.

3. Pansu, M. & Gautheyrou, J. (2006) Handbook of Soil Analysis , Springer-Verlag,

Berlin

4. U.S. Environmental Protection Agency Office of Research and Development

(2014) Report 600/R-14/074: Persistence of Categories A and B Select Agents in

Environmental Matrices ,

https://cfpub.epa.gov/si/si_public_file_download.cfm?p_download_id=520009 ,

accessed 29 May 2019.

5. Wade, W. (2002) J R Soc Med 95 , 81–83.

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