Main content area

A dynamic transport model for quantification of norovirus internalization in lettuce from irrigation water and associated health risk

Chandrasekaran, Srikiran, Jiang, Sunny C.
The Science of the total environment 2018 v.643 pp. 751-761
Norovirus, United States Environmental Protection Agency, World Health Organization, culture media, differential equation, dynamic models, food crops, food production, freshwater, harvest date, humans, hydroponics, irrigation scheduling, irrigation water, issues and policy, lettuce, monitoring, pathogens, plant growth, public health, quantitative risk assessment, risk, risk reduction, roots, shoots, soil, transpiration, viral load, wastewater, water reuse
Food production using recycled wastewater offers a sustainable way forward in light of limited freshwater resources. However, concerns of food safety should be addressed to protect public health. To this end, we developed a dynamic transport model to track norovirus from the irrigation water to the root and shoot of lettuce during the growth period. These processes were embodied in a system of ordinary differential equations that also incorporated plant growth, transpiration rate, viral attachment and detachment to culture media, viral decay, and plant barrier effects. Model parameters were either obtained from the literature or through fitting the model to experimental data from a study reporting human norovirus transport in hydroponically grown lettuce. The results showed that lettuce grown hydroponically resulted in a higher risk than lettuce grown in soil. In both cases, the risk predicted failed to meet the risk benchmarks established by the U.S. EPA and WHO. Viral attachment to growth media, such as the soil particles, was an important mechanism for risk reduction. A sensitivity analysis revealed that harvesting time and irrigation time are important factors influencing the viral loads in lettuce. Hence, this pathogen transport model provides a framework for investigating the effects of time and other factors on disease burdens from water reuse in agriculture, underscoring the utility of a dynamic model. In the absence of a routine monitoring of contaminants in the recycled irrigation water and food crops, a quantitative risk assessment based on objective scientific knowledge is the best approach to guide the policy decisions on water reuse practices.