White, red and blue colors will tell the quality of food, the risk of food poisoning will end!
The world is troubled by food-borne diseases and sometimes these stomach-related diseases become even fatal. There is also a treatment for this, but to make treatment more easy, scientists at Osaka Metropolitan University have developed a simple, fast method to simultaneously identify food poisoning bacteria, which are those bacteria ( Bacteria) through antibodies. This method can be very useful for faster detection of bacteria at food manufacturing sites and thus improving food safety.
University scientists have developed a simple and fast method to simultaneously identify multiple food poisoning bacteria based on color differences in light scattered by nanometre-scaled organic metal nanohybrid structures (NHs). This study was published in Analytical Chemistry publish has been done.
The research team, led by Professor Hiroshi Shigi at Osaka Metropolitan University’s Graduate School of Engineering, rapidly identified enterohemorrhagic Escherichia coli (E. coli O26 and E.coli O157) and Staphylococcus aureus, organic bacteria causing food poisoning. The optical properties of metal NH were used.
The team found for the first time that organic metal NH produced stronger scattered light than metal nanoparticles of similar size. Because the scattered light of these NHs is stable in air for a long time, they are expected to act as stable and highly sensitive labeling materials. Furthermore, it turns out that these NH nanoparticles exhibit different colors of scattered light (white, red and blue) depending on the metal elements (gold, silver and copper).
The team then introduced antibodies that specifically bind to E. coli O26, E. coli O157, and S. aureus to organic metal NHs and to evaluate the binding properties of these NHs to antibody-conjugated NHs of specific bacterial species. use as a label.
As a result, E. coli O26, E. coli O157, and S. aureus can be seen under a microscope as scattered white, red and blue light, respectively.
