Smart and environmental traceability and eco-labelling system for achieving sustainable food chains

Linked Sessions:

Poster Number:  V-15 

Main Presenter:    Eva Martínez 

Co-Authors:   Ana Fernández-Ríos     María Margallo      Rubén Aldaco      Jara Laso                              

Usually, environmental problems have been tackled in isolation, considering the production on the one hand, and the consumption of goods, products and services, on the other. Additionally, quality and safety of food supply chains are frequently considered individual questions. This traditional approach has often led to inconsistencies between proposed policies and strategies. The most advanced management models are changing towards integrated approaches that allow establishing relations between production and consumption, and environmental aspects and quality. In addition, lack of transparency of the food supply chain has become a recognized issue requiring the establishment of a science-based food traceability system based on improved methods for authenticity testing.

SMART-FOODPRINT has as starting hypothesis the possibility of developing a user-friendly, low cost, traceability, authenticity, environmentally and quality system to increase transparency within the food industry and increase customer engagement by facilitating and promoting informed sustainability-oriented choices. The project will aid to solve environmental and socio-economic issues and at the same time boost consumers’ trust in sustainability-oriented certification schemes of fish and seafood products.

SMART-FOODPRINT comprises seven work packages (WP). The first two WPs are designed to guarantee the viability and success. WP3 addresses the analytical techniques and procedures to assess the traceability of food; WP4 is focused on the environmental assessment of the food (fish and seafood) supply chain; WP5 proposes to create the ECO- SMART-FOODPRINT application; WP6 aims to integrate an eco-labelling and traceability certification system; and WP7 represents the case studies in which the app will be tested. These WP are based on 5 key pillars that will allow us to reach a successful industrial demonstrator: (i) development of testing methods; (ii) ICT infrastructure; (iii) creation of user-friendly interface; (iv) industrial demonstrator; and (v) management.

As a result of the first year of the project, the analytical infrastructure and the life cycle model will be elaborated. In the former, we will start with the compilation of a DNA barcode library for fish authentication and with the development of the NIR method Standard Operating Procedure to determine the origin, production methods and freshens of fish product. Then, LCA will be applied to determine the environmental performance of fish products and to quantify the environmental consequences of food fraud by means of the creation of a custom database, the development of a life cycle model and, the calculation of the impact of food fraud along the food supply chain questions.


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