Our research groups have a solid track record in leading and collaborating in successful market-focused R&D projects. We make a strong and reliable research partner thanks to:
- Our experience: A research provider in >40 projects in Framework Program Seventh 35 of them led by our Project Managers) and in 11 projects to date in Horizon 2020.
- Our resources: A multidisciplinary team of engineers and scientists and advanced engineering capacity in production processes, smart systems and optical engineering.
- Our knowledge: Applied research knowledge in spectroscopy, data processing and information systems, food technology, materials science and environmental science.
Our vision at IRIS is aligned with the vision and goals of the new Research and Innovation programme, Horizon 2020, in relation to putting R&D at the centre of industrial competitiveness and leadership through the adoption of Key Enabling Technologies, such as photonics and ICTs. We also believe in the potential for technological developments to solve the numerous societal challenges facing our world today, such as food security, environmental protection, and sustainable use of resources, and technological innovation and commercialisation for long-term grown and jobs. Our knowledge, creativity and skill sets are helping to advance the Roadmaps of the SPIRE Public Private Partnership towards for a more sustainable and resource efficient European process industry, as well as that of Factories of the Future. We are also contributing to safe use of nanotechnology in the European industry, as well as in breakthroughs towards a low carbon economy.
Innovation lines and projects
Optical & Spectroscopy Technologies
Objective: The development and integration of Process Analytical Technologies (PAT), novel monitoring and data mining tools for advanced manufacturing, on-line quality control and process optimisation.
Technologies: Optical & Spectroscopy technologies such as MEMs spectrophotometers, NIR, Hyperspectral imaging, Raman and Fluorescence.
Data Processing & Information Systems
Objective: Development of intelligent data management and decision support systems for smart manufacturing, processing and agriculture.
Technologies: Cloud technologies, Predictive modelling, Data mining, Deep Learning.
Objective: Scale up of novel processing technologies for process intensification and non-thermal decontamination applications.
Technologies: Ultrasound, plasma, microwave, pulse electric field.
Objective: Industrial and agricultural waste valorisation technologies and the use of biocompounds towards a circular economy.
Technologies: Extraction technologies, bioreactor and photobioreactors, coating technologies, biomaterial formulations.
Quality by coincidence or by design? Data mining for quality control
By David F.Nettleton (Ph.D.) and Elodie Bugnicourt (Ph.D.) Quality by coincidence? This is unlikely. Quality is much more likely to be the result of the right combination of a diversity of processes, raw materials, and external parameters. In fact, any quality control manager would know that for complex products, whatever the number and type of final tests made, there may always be a few batches that seemed to be in spec but somehow finally did not meet the customer’s satisfaction. And in fact, human cognition reaches its limits when trying to correlate all the individual parameters which could have led[...]
MyToolBox continues on good track after one year of project development
MyToolBox project consortium celebrated the Year 1 Project Steering Commitee meeting, beginning of March, in IRIS facilities (Castelldefels, Barcelona). During 2 days 35 attendees representing the majority of MyToolBox project partners, including our Chinese partners from the Chinese Academy of Agricultural Sciences: Prof. Liu Yang, Prof Jinquan Wang and Dr. Peilong Yang and Hans van Edmond from the MyToolBox Advisory Committee discussed the work progress to date and planned year 2. Overall project is in good track and ready to face a new year of development. MyToolBox (https://www.mytoolbox.eu/) - "Safe Food and Feed through an Integrated ToolBox for Mycotoxin Management"[...]
Low cost, green absorbents and their role in wastewater treatment
The reclamation for recycled water has fast gained into prominence mainly on account of the demand for fresh water and rising health concerns on the adverse effect of increasing pollutant contamination. The adsorption technology is considered ideal in the treatment of wastewaters on account of its non-specificity towards the pollutant irrespective of their diverse nature. No doubt the technology has distinct advantages over other technologies in respect of its environmental friendliness. But high costs of the commercial activated carbons are a major deterrent to their widespread use. In this respect low cost activated carbons can be prepared from a timber[...]
PhD Arunima Nayak
Marie Curie Researcher
PhD in Environmental Chemistry
Industry 4.0 − the catalyst for our so needed EU growth?
By Elodie Bugnicourt (Ph.D.) and David F. Nettleton (Ph.D.) The world has gone through 3 well re-known industrial revolutions linked respectively to steam machine appearance in the 19th century, mass production at the beginning of the last century culminating with the Ford model for work division, the use of electronics to programme manufacturing machines in the 70’s and now we are seeing the rise of the 4th industrial revolution. In a recent blog article, we discussed some technical aspects related to this change of paradigm in the industry based on cyber physical systems, artificial intelligence based modeling tools, internet of[...]
Industry 4.0 – Opportunities and Challenges of Cyber-Physical System
By David F. Nettleton (Ph.D.) and Elodie Bugnicourt (Ph.D.) Industry 4.0 refers to an industrial revolution based on cyber-physical systems, in order to evolve towards "smart factories" which have a modular structure, and in which cyber-physical systems monitor physical processes by creating a virtual copy of the physical world thus facilitating decentralized decision making. Also, the Internet of Things will enable cyber-physical systems to communicate and cooperate with each other and with humans in real time. The drive towards Industry 4.0 has been defined as highly strategic by the European Union [1,2]. In the context of data analytics and modeling,[...]