Hybrid paper/PDMS microfluidic device integrated with RNA extraction and recombinase polymerase amplification for...

Human norovirus (HuNoV) is recognized as the leading causative agent of foodborne outbreaks of epidemic gastroenteritis. Consequently, there is a high demand for developing point-of-care testing for HuNoV. We developed an origami microfluidic device that facilitates rapid detection of murine norovirus 1 (MNV-1), a surrogate for HuNoV, encompassing the entire process from sample preparation to result visualization. This process includes RNA absorption via a paper strip, RNA amplification using recombinase polymerase amplification (RPA), and a lateral flow assay for signal readout. The on-chip detection of MNV-1 was completed within 35 min, demonstrating 100% specificity to MNV-1 in our settings. The detection limit of this microfluidic device for MNV-1 was 200 PFU/mL, comparable to the in-tube RPA reaction. It also successfully detected MNV-1 in lettuce and raspberries at concentrations of 170 PFU/g and 230 PFU/g, respectively, without requiring extra concentration steps. This device demonstrates high compatibility with isothermal nucleic acid amplification and holds significant potential for detecting foodborne viruses in agri-food products in remote and resource-limited settings.

HuNoV belongs to the family of Caliciviridae and is a leading cause of acute gastroenteritis that can be transmitted through contaminated foods. HuNoV causes around one out of five cases of acute gastroenteritis that lead to diarrhea and vomiting, placing a substantial burden on the healthcare system worldwide. HuNoV outbreaks can occur when food is contaminated at the source (e.g., wild mussels exposed to polluted water), on farms (e.g., during crop cultivation, harvesting, or livestock handling), during packaging, or at catered events. The research outcomes of this study expand the approaches of HuNoV testing, adding value to the framework for routine testing of food products. This microfluidic device can facilitate the monitoring of HuNoV outbreaks, reduce the economic loss of the agri-food industry, and enhance food safety.