
eBRT2030: A new generation of high-performance buses (BRT) in Europe for more sustainable, environmentally friendly transport
August 28, 2023
SEASLAG: A new biomaterial to regenerate marine ecosystems based on byproducts of the steel and agrifood industries
September 19, 202306/09/2023
A team of UPC researchers is working to develop a solution to standardise and improve quality control in fermentation processes in the Agrotech area.
Food fermentation is a processing technology that uses the growth and metabolic activity of microorganisms to transform foods. Fermentation is undertaken to stabilise perishable agricultural products. In addition, the process has evolved to become a key tool to optimise quality in food production. One example is a process based on the reuse of waste in which CO2 is captured and used in processes of product carbonisation (mainly of fermented drinks), and as a mechanism to exert counterpressure on fermentation tanks in order to empty them. Direct real-time monitoring of the production chain (whether at-line or in-line) can be used to ensure standardisation and carry out optimum adjustments to the biochemical fermentation process, to ensure the quality and high organoleptic properties of the final product.
The sensQ project, in which researchers from the AntennaLab research group of CommSensLab-UPC at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) participate, enables real-time, at-line/in-line monitoring of the metabolic activity of microorganisms in fermentation processes of the agri-food sector, through optical magnetometry sensing technologies.
This sensing obtains results faster and more directly than current laboratory methods that have a latency of 24 hours (or more) to obtain the results. Therefore, by using sensQ the (food and drink) agri-food sector can verify more precisely the standardisation of fermentation processes to ensure the quality of products and optimise the recovery of waste generated to be reused in other processes.
Budget and funding
SensQ has a Budget of €50,000 through a subsidy from the Rural Development Programme of Catalonia 2014-2022 of the Department of Climate Action, Food and Rural Agenda (Catalan Government). The period of execution of the project is from December 2021 to June 2024.




Activity financed through Operation 01.02.01 for Technology Transfer of the Rural Development Programme of Catalonia 2014-2022.
Related Projects
- A team from the Resources Recovery and Environmental Management (R2EM) group, of the Barcelona Research Center in Multiscale Science and Engineering (CCEM), at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), is participating in the MagNa project, which is developing an innovative system to recover magnesium from the brines generated by the seawater desalination process. The recovered materials will be used for industrial purposes and will help reduce Europe’s trade dependence.
- The Center for Industrial Diagnostics (CDIF) and the Energy Processing and Integrated Circuits (EPIC) group at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) are participating in FLEXHYBAT (Design and control of flexible hydropower plants by hybridisation with second life batteries), a project exploring the hybridisation of hydropower plants with second-life batteries to improve their flexibility, efficiency and durability.
- The Centre for Technological Innovation in Static Converters and Drives (CITCEA) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) participates in the H2GLASS project, which aims to accelerate decarbonisation in the glass industry through the development and application of the new technologies needed to achieve complete hydrogen (H₂) combustion in glass or steel production facilities.
- A team from the CATMech at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) has created a computer system that rapidly calculates the CO₂ balance of agricultural and forestry estates. The project, developed within the framework of Agrixels, is coordinated by the Intelligent Data Science and Artificial Intelligence Research Center (IDEAI-UPC) and applies machine learning, artificial intelligence and satellite data methodologies to estimate the emissions and carbon absorption capacity of a plot of land in just three minutes.





