eHealth and Medical Care
Research and Development under Contract
Software Engineering and Data Intelligence
Software architecture and data engineering
FRAMEWORK
CHLOROFIT project aims to develop an innovative and sustainable nutraceutical solution for overweight and obesity prevention and management, based on chlorophyll derivatives obtained from microalgae.
The project focuses on optimising the production, extraction and processing of these bioactive compounds to develop two safe, stable and distinctive functional ingredients. These ingredients are expected to exhibit anti-obesity and antidiabetic properties, offering an innovative approach to addressing metabolic disorders while supporting more sustainable health and nutrition solutions.
PROPOSED SOLUTION
The solution encompasses the entire value chain, from optimising chlorophyll-rich microalgal strains and developing biorefinery processes for the extraction, conversion and valorisation of these bioactive compounds, to validating their efficacy and safety.
In parallel, the project integrates advanced digital technologies, including artificial intelligence models and machine learning tools, to digitalise and optimise the production process, enhancing its efficiency, scalability and sustainability.
The outcome will be a new generation of high-value nutraceutical ingredients, developed through innovative, sustainable and technologically advanced processes, helping to strengthen the competitiveness of the national industry while promoting the natural resources sustainable valorisation.
CCG/ZGDV CONTRIBUTION
CCG/ZGDV contributes to production process digitalisation and intelligent optimisation through the solutions development based on artificial intelligence and advanced data analytics.
Its contribution aims to enhance operational efficiency, support decision-making and promote more sustainable, data-driven management through:
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Development of predictive and prescriptive models for microalgae cultivation, enabling the transition from empirical approaches to data-driven management;
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Implementation of a platform for virtual testing and scenario simulation, enabling the impact of different operating conditions to be assessed before their implementation in bioreactors;
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Development of decision-support tools based on the analysis of productivity, energy consumption and industrial performance indicators, contributing to process efficiency and sustainability optimisation.
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