Quantitative and qualitative approach for accessing and predicting food safety using various web-based tools

Abstract

Food safety and quality are pivotal to a country's economy and consumer health, with the whole food chain depending on its success. Hence, with immense progress in industrialization, the need arose to develop an integrated system constituting various essential elements to track, trace, and ensure food safety. The review reports various web-based tools and their integration for assessing food safety during each step of the food chain. Various research resources were ransacked to find articles on the current review. These included Google Scholar, journal articles, and other relevant sources with typical keywords and titles. Review data report about the feasibility of artificial intelligence and allied techniques, i.e., vision-based technology and machine learning, that includes the development of tailored algorithms for the food industry and food supply chain management. It also reports physical objects like sensors, devices, and food processing tools, which can be paired with the Internet to form the Internet of Things (IoT). Further, Big data pertains to a vast set of information from which complete data, patterns, and outcomes can be extracted. Blockchain is another important thing to share, store, and process authentic information, which securely reports every food processing step accordingly. Three is a network of tools called web-based resources, which are helpful for qualitatively and quantitatively predicting food safety and quality, thereby necessitating computer technology in food and nutrition science. Food-related hazards like toxins, pesticides, and heavy metals from food commodities like fruits, vegetables, and meats can be traced, reported, and eliminated. The review also presents insight into food fraud mitigation and related tools, including blockchain technology, Comptox, ComBase, FDAiRISK, and others.

Keywords

Food safety ,Big data, Blockchain, Consumer Health