Quality of food generally changes by time. Protein based food like fish and meat need to have an acceptable quality to be consumed. Generally, this quality is not easily assessable without tasting or smelling the packaged food. Food producers print an estimated shelf life for each food package, given that the food package is stored in the required storage conditions like temperature and light exposure. As already said, this date is an estimation, meaning that the food inside the package could have already gone bad, due to unfitting storage conditions. It could also happen that the food inside the package still maintains its quality after the estimated date on the package. In classic scenarios, in the first case, the consumer might get poisoned, and in the latter the food will go to waste.
We have developed a paper-thin biosensor, that changes its color from green to red, as food quality decreases. Using fluorometric spectroscopes we have seen that, the spectra shape changes as the quality of food changes. We think we can use this phenomenon to successfully assess food freshness, quite reliably.
We will store this spectrum values along the supply chain on a block chain, in order to eliminate any chance of bad actors in the supply chain to manipulates data. The food package can be traced back to its origin in our platform. On the other hand, we use artificial intelligence to read this spectra data and assess the freshness of the food inside the package and at the same time predict the quality of food for future. One can use this system to have an estimation of how fresh the food inside the package will be in the future, given the proper storage conditions.