Abstract: Berries are important vectors for the spread of foodborne hepatitis A virus (HAV) and norovirus (NoV), and have received worldwide attention. In order to identify the presence of foodborne viruses in berry products in a timely manner, sensitive methods are therefore needed. Due to the low concentration of HAV and NoV in contaminated berries that are weak in texture and contain a large amount of reverse transcription-polymerase chain reaction (RT-PCR) inhibitors such as pectin, polyphenols, polysaccharides and pigments, false-negative results easily occur, thereby making it difficult to monitor foodborne viruses. Based on an extensive review of the literature, the prevalence of foodborne HAV and NoV in berries is summarized, and future directions for the improvement of the existing detection methods for the two viruses in berries are proposed. Moreover, the applications of three types of process control, such as whole process controls, molecular process controls and RT-PCR controls are also discussed in the detection of HAV and NoV. In conclusion, this review provides a methodological basis for strengthening the surveillance capability of HAV and NoV in berries.

Key words: berries, norovirus, hepatitis A virus, prevalence, detection methods, process control