Simple.  Elegant.  Proven.

 

The Signal-to-Noise Ratio Challenge

Food samples can contain many trillions of food and other cells for every harmful pathogen cell.  Distinguishing the pathogen cells is a signal-to-noise ratio challenge where the “signal” is the pathogen cells of interest and the “noise” is all of the other cells in the sample.  The signal-to-noise ratio must be increased for reliable pathogen detection.  That requires increasing the signal or decreasing the noise.

 

Legacy Systems: Increase the Signal

For more than 30 years, the industry has increasing the signal in food testing by culturing pathogen bacteria cells to grow the number of cells by more than a trillion-fold.  After culturing, DNA analysis is used for pathogen detection.  This process works well but requires hours or days to grow enough bacteria.

 

SnapDNA Solution: Decrease the Noise

SnapDNA has invented proprietary processes that capture live pathogen cells in real-time and wash away all the other cells in the sample.  DNA/RNA analysis is then used for pathogen detection.  The total time from sample to answer, takes place in under 2 hours.

The system distinguishes live from dead pathogen cells and, because bacteria is not cultured, the number of cells per sample can be determined.  SnapDNA capture is far more specific than culturing, enabling more specific RNA analysis and fewer errors than legacy systems.

SnapDNA’s flow-through assay captures pathogen cells in real-time.  The system has no inherent limitation on sample size, allowing for greater statistical significance.  Since the system does not culture bacteria, testing can be done in a food production environment with automated testing and instant access to cloud based data.

 

Simple.  Elegant.  Proven.