Online optical detection of food contaminants in microdroplets

Abstract

AbstractTo accommodate the considerable increase of disease based on microbial food contaminants in the last decade, a modulated, fast optical fluorescence detection combined with microdevices is created. This method, which consists of five different steps, first selects contaminants, mainly bacteria, in the food matrix. This process is based on a biomagnetic separation technique developed by our collaborators at the Technical University of Dresden. By the steps of binding antibody functionalized magnetic beads and fluorescent capsules on the target cell, a magnetic bead‐target cell‐microcapsule complex (MTM) is generated. The well‐established pipe‐based bioreactors (pbb) platform enables the generation of droplets with a volume between 60 and 160 nL and the detection of the target cell with an integrated microscopic and spectroscopic detection system. The module used for generating droplets is based on the segmented flow principle and is chip‐ or probe‐based. In this context, the successful use of polydimethylsiloxane (PDMS) as a cost‐effective alternative to the well‐established glass‐chips is introduced. To quantify the detection based on a yes‐ or no‐decision, the most important step is to separate one MTM‐complex per droplet. This equalized the quantity of the fluorescent signals with the quantity of the contaminants in the cell sample. The feasibility of microscopic and spectroscopic detection with only one fluorescent capsule per droplet is shown. Also the first results of a special prototyping optical detection set‐up that is already in an advanced stage of development, will be presented. This easy‐to‐use device implemented a software‐controlled, automatic documentation for every fluorescent signal of a droplet to guarantee the quality control. Here are the advantages of an integration of microdevices in a rapid detection of food pathogens presented. Obviously, the modular set‐up of this detection platform enables a wide range of high‐throughput applications.