A Microfluidic Biosensor Based on Magnetic Nanoparticle Separation, Quantum Dots Labeling and MnO2 Nanoflower Amplification for Rapid and Sensitive Detection of Salmonella Typhimurium.

Screening of foodborne pathogens is an effective way to prevent microbial food poisoning. A microfluidic biosensor was developed for rapid and sensitive detection of Salmonella Typhimurium using quantum dots (QDs) as fluorescent probes for sensor readout and manganese dioxide nanoflowers (MnO2 NFs) and as QDs nanocarriers for signal amplification. Prior to testing, amino-modified MnO2 nanoflowers (MnO2-NH2 NFs) were conjugated with carboxyl-modified QDs through EDC/NHSS method to form MnO2-QD NFs, and MnO2-QD NFs were functionalized with polyclonal antibodies (pAbs) to form MnO2-QD-pAb NFs. First, the mixture of target Salmonella Typhimurium cells and magnetic nanoparticles (MNPs) modified with monoclonal antibodies (mAbs) was injected with MnO2-QD-pAb NFs into a microfluidic chip to form MNP-bacteria-QD-MnO2 complexes. Then, glutathione (GSH) was injected to dissolve MnO2 on the complexes into Mn2+, resulting in the release of QDs. Finally, fluorescent intensity of the released QDs was measured using the fluorescent detector to determine the amount of Salmonella. A linear relationship between fluorescent intensity and bacterial concentration from 1.0 × 102 to 1.0 × 107 CFU/mL was found with a low detection limit of 43 CFU/mL and mean recovery of 99.7% for Salmonella in spiked chicken meats, indicating the feasibility of this biosensor for practical applications.

An untargeted and pseudotargeted metabolomic combination approach to identify differential markers to distinguish live from dead pork meat by liquid chromatography-mass spectrometry.

An untargeted and pseudotargeted metabolomic combination approach was developed to identify reliable and stable differential markers which can distinguish between pork meat from live pigs conventionally butchered and pork meat from dead pigs butchered immediately after death from diseases or other abnormalities. In this study, 24 differential metabolites of interest were screened by the UHPLC-Triple-TOF-MS-based untargeted metabolomic method, and 14 differential markers were detected by the UHPLC-QTRAP-MS-based pseudotargeted metabolomic method after performing statistical analysis to remove false-positive differential metabolites. Among the possible differential markers identified using the Metlin database and references were carnosine, l-carnitine, l-histidine, N-acetylhistidine, acetylcholine, l-acetylcarnitine and two phosphatidylcholines. The results of the principal component analysis (PCA) and the hierarchical clustering analysis (HCA) indicate that 14 differential markers could be potentially used to distinguish live and dead pork meat. This reliable and stable approach not only could detect the unknown differential markers, but also accurately quantify them.

An exo probe-based recombinase polymerase amplification assay for the rapid detection of porcine parvovirus.

Recombinase polymerase amplification (RPA), an isothermal amplification technology, has been developed as an alternative to PCR in pathogen detection. A real-time RPA assay (rt-RPA) was developed to detect the porcine parvovirus (PPV) using primers and exo probe specific for the VP2 gene. The amplification was performed at 39°C for 20min. There was no cross-reaction with other pathogens tested. Using the recombinant plasmid pPPV-VP2 as template, the analytical sensitivity was 103 copies. The assay performance was evaluated by testing 115 field samples by rt-RPA and a real-time PCR assay. The diagnostic agreement between assays was 100%, and PPV DNA was detected in 94 samples. The R2 value of rt-RPA and real-time PCR was 0.909 by linear regression analysis. The developed rt-RPA assay provides a useful alternative tool for rapid, simple and reliable detection of PPV in diagnostic laboratories and at point-of-care, especially in remote and rural areas.

Reverse transcription recombinase polymerase amplification assay for the rapid detection of type 2 porcine reproductive and respiratory syndrome virus.

Porcine reproductive and respiratory syndrome virus (PRRSV) is one of the most important pathogens in pigs, and has tremendous negative economic impact on the swine industry worldwide. PRRSV is classified into the two distinct genotypes: type 1 and type 2, and most of the described PRRSV isolates in China are type 2. Rapid and sensitive detection of PRRSV is of great importance for the disease control and regional eradication programs. Recombinase polymerase amplification (RPA) has emerged as a novel isothermal amplification technology for the molecular diagnosis of infectious diseases. In this study, a fluorescence reverse transcription RPA (RT-RPA) assay was developed to detect the type 2 PRRSV using primers and exo probe specific for the viral nucleocapsid gene. The reaction was performed at 40°C within 20min. The RT-RPA assay could detect both the classical (C-PRRSV) and highly pathogenic PRRSV (HP-PRRSV), but there was no cross-reaction to other pathogens. Using the in vitro transcribed PRRSV RNA as template, the analytical sensitivity of RT-RPA was 690 copies. The assay performance was evaluated by testing 60 field samples and compared to real-time RT-PCR. The detection rate of RT-RPA was 86.6% (52/60), while the detection rate of real-time RT-PCR was 83.3% (50/60). This simple, rapid and reliable method could be potentially applied for rapid detection of PRRSV in point-of-care and rural areas.