Abstract
Human norovirus (HuNoV) is a major foodborne virus causing gastroenteritis outbreaks in humans. Salad products can be vectors of transmission for foodborne viruses such as HuNoV when these products are contaminated naturally or through unsanitary food handling. Therefore, development of simple, reliable and sensitive techniques for the detection of HuNoV in salad products is needed to ensure food safety. The purpose of our study was to optimize a method for the detection of HuNoV in artificially contaminated salad products. To this end, 2 different kinds of salads (fruit salads and vegetable salads) were experimentally inoculated with HuNoV GI, HuNoV GII, and MS2 suspensions. The selected method was based on treatment with pectinase followed by Trizol-chloroform purification, and the recovery efficiencies were 6.07% to 26.52% for HuNoV GI and 5.54% to 37.36% for HuNoV GII. MS2 was used as the process control, and the recovery efficiencies for fruit salad and vegetable salad samples were 38.57% and 41.13%, respectively. The optimized method could be applied in diagnostic laboratories to identify NoV contamination in composite foods, such as salad products, should an event of foodborne outbreak occur.
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