Abstract
Currently, the seafood industry demands strict quality standards for the acceptance of products in international markets. In this context, rapid detection of pathogenic bacteria is a pressing need in the fishing industry. In this sense, this work integrates the advances of information and communications technologies to facilitate the management of information on the concentration of pathogenic bacteria in sea products that reach a fishing port. For this, the proposed system integrates a series of low-cost biosensors with a distributed information architecture based on microservices. To achieve the results, initially, several pathogen bacteria detection systems were analyzed. Subsequently, both the relevant information variables were defined from a biogenic amines biosensor selected as the modes of operation of the proposed system. Then, the structure of the online information system and the characteristics of the interfaces were defined considering different types of users. To follow, a dynamic model was generated to show the evolution of the states of the system. Finally, the proposals were evaluated, showing the advantages from the functional, economic, and use potential uses.
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Álvarez Q., J.M., García M., J.I., Sanabria O., J.A. (2021). Online System Based on Microservices for Rapid Diagnostic of Pathogenic Bacteria in Seafood from Biogenic Amines Biosensors. In: Figueroa-García, J.C., Díaz-Gutierrez, Y., Gaona-García, E.E., Orjuela-Cañón, A.D. (eds) Applied Computer Sciences in Engineering. WEA 2021. Communications in Computer and Information Science, vol 1431. Springer, Cham. https://doi.org/10.1007/978-3-030-86702-7_18
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