A major challenge for bioreactors is determining the amount of biomass. In the analysis module, we use an optical method based on microscopy and AI, as well as quantum technology. The digital microscope continuously delivers images that are analysed by AI. Through training images, it learned to recognise the algae cells. For the quantum-based particle sensor, a precision pump transports the algae cells from the cultivation system. Using a precise valve system, they are fed to a mixing container where they are diluted with water for optimal analysis conditions. The pressure-over-liquid principle enables a uniform flow rate and directs the mixture to the quantum sensor. The sensor – developed by the start-up Q.ANT – delivers huge amounts of data, which can consist of the size and number of algae as well as foreign bodies. These analyses make it possible to react to process events in advance and intervene in a regulatory manner. Module 2: Analysis: monitoring cells using quantum sensors and AI BionicCellFactory The cell factory is divided into five modules in which nature and technology coalesce in different ways. In doing so, we present the BionicCellFactory as a tool for the biological transformation moving towards an environmentally friendly circular economy. In contrast to chemical processes, we manage without high temperatures, high pressures and toxins. Algae grow best at a CO2 concentration of around two per cent. However, as our ambient air contains far less than one per cent, the CO2 collection module enriches the algae with a higher concentration: it filters the required gas from compressed air by blowing it into a chamber with CO2-binding granules. The granulate consists of a polymer that can absorb or release CO2 depending on the prevailing conditions. Once the granulate has absorbed sufficient CO2, it is heated to a temperature of 90 degrees Celsius to release the gas again. The concentrated CO2 is then cooled in an intermediate storage tank and blown into the bioreactor via an aeration element. Module 1: CO2 collection: binding CO2 from the air The modular structure of the BionicCellFactory is also reflected in the control architecture: each module is controlled by a CPX-E controller from Festo. This means that the five process steps can be put into operation both in combination and separately and can be easily replaced in the event of production changes. Using dashboards on the respective control panel, experts can monitor and modify individual parameters of the process steps. Data exchange between the modules takes place via OPC UA and enables efficient control of the entire BionicCellFactory. Control architecture
RkJQdWJsaXNoZXIy NzczNDE0