Molecular Enrichment for Qualitative Molecular Pathogen Detection in Food

Suitability of the MinION long read sequencer for semi-targeted detection of foodborne pathogens

Foodborne pathogens are still a significant source of morbidity and mortality worldwide. In addition to this the current methodologies to track these microorganisms cannot cope with the current intensive production systems, thus novel methods are of outmost importance. DNA-based methods have already demonstrated suitable to address this issue, but most of them are targeted methods such as real-time PCR (qPCR), meaning that one will only find what is looking for, thus taking the risk of missing relevant pathogens in a given sample. To overcome this limitation we have developed an easy-to-implement methodology which enables the detection of several pathogens simultaneously by using long-read Next Generation Sequencing (NGS) with MinION. The method was named "semi-targeted" due to the combination of a non-targeted detection method, NGS, with the usage of selective media in order to partially eliminate non-pathogenic interfering bacteria. To this end, we included an enrichment step for the recovery of different pathogens, namely Salmonella Enteritidis and Typhimurium, Listeria monocytogenes and Escherichia coli O157:H7, after DNA extraction and library preparation, the samples were analyzed with MinION implementing the low-cost Flongle Flow Cells. The methodology was successfully evaluated in spiked milk samples with an excellent agreement with the results obtained by qPCR and culture-based methods. The method can provide accurate results after only 2 h of sequencing. Sample multiplexing, along with the lower cost of the Flongle Flow Cells and the reduced price of the MinION platform, make the assay cost-effective that is of importance for the food industry. Starting the method with a classical microbiological approach, the enrichment, the method is easy to implement in testing laboratories, it provides flexibility in terms of potential pathogens to be detected, and the positive results can be easily confirmed following culture-based, or other type, of confirmation procedures.

Sample Preparation for qPCR Detection of Listeria from Food

Quantitative PCR, if performed properly, is a highly sensitive and robust tool. Nevertheless, its application to the particular case of pathogen detection from foodstuffs necessitates special requirements for reliable results. Firstly, a robust analytical chain, involving sample preparation and DNA isolation with purification, is necessary to ensure optimal performance. Secondly, for reliable quantification of Listeria monocytogenes from food, reproducible controls for all steps of the analytical chain are needed, which can give quantitative information about the performance of each individual step of the detection chain. Ideally, each individual sample should include a so-called internal sample process control (ISPC) which passes through all steps of the analytical chain and is phenotypically similar to the target organism (in this case L. monocytogenes).This chapter describes the modular and rapid (3 h) sample preparation method "matrix lysis" for the quantification of L. monocytogenes from food and gives detailed information regarding the application of an ISPC based on the example of the L. monocytogenes Δ-prfA/+IAC strain.

Optical Biosensor for Rapid Detection of Salmonella typhimurium Based on Porous Gold@Platinum Nanocatalysts and a 3D Fluidic Chip

Screening of pathogenic bacteria is a key to avoid food poisoning. The major drawbacks of existing assays for foodborne bacteria detection include long time for culture, complex DNA extraction for the polymerase chain reaction (PCR), and low sensitivity for enzyme-linked immunosorbent assay (ELISA), greatly limiting their practical applications. Here, we developed a sensitive optical biosensor based on porous gold@platinum nanocatalysts (Au@PtNCs) and a passive three-dimensional (3D) micromixer for fast detection of Salmonella typhimurium. The target Salmonella cells were first separated using immunomagnetic nanoparticles and the passive 3D micromixer. Then, immune Au@PtNCs were labeled onto the target cells as signal output to catalyze hydrogen peroxide-3,3',5,5'-tetramethylbenzidine. Finally, the absorbance was measured at 652 nm to calculate the bacterial amount. This optical biosensor could detect Salmonella at concentrations from 1.8 × 10¹ to 1.8 × 10⁷ CFU/mL in 1 h. Its detection limit was calculated to be 17 CFU/mL. Besides, this passive 3D micromixer could magnetically separate 99% of target bacteria from the sample in 10 min. This biosensor has the potential to be extended to detect other bacteria by changing the antibodies.