R&D

Division

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.

R&D

Vision

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.

Novel Processing

Objective: Scale up of novel processing technologies for process intensification and non-thermal decontamination applications.

Technologies: Ultrasound, plasma, microwave, pulse electric field.

Sustainable Processing

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.

Can food wastes be used to drive our future automobiles?

Carbon black is used as a predominant filler and constitutes approximately 32% of the rubber tires. It plays a key role in improving properties important to tire manufacturing and tire performance, i.e. to improve durability and strength for longer lifetime and improved performance. Carbon Black distributes and absorbs stress applied to a rubber component and improves its tensile strength, tear strength and abrasion resistance. Carbon Black provides electrical conductivity / resistivity to a rubber compound for dissipating static charge in dynamic applications. But both carbon black and rubber are finite resources that require manufacturing to produce, and the global demand[...]
PhD Arunima Nayak
Marie Curie Researcher
PhD in Environmental Chemistry
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The uberification of manufacturing

Whether you’re looking for something to eat for dinner, a ride to the airport, or an accommodation for your holidays, probably there’s an app in your mobile phone that fits your case. That’s the basis of the on-demand economy: satisfying an instantaneous need through a specific solution  delivered in mobility or at your place. The on-demand concept is not new but it is in the last few years that the on-demand economy is burgeoning, with $57.6 billion in spending just in the US, taking advantage of finally reliable business models and the possibilities provided by the new technologies. It is[...]
Dr.Gianluca Belotti
PMO Officer
PhD in Chemical Engineer
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Artificial meat production – theory or practice?

Experts have been debating about the possibility of creating artificial meat for many years. Now it´s happening. Jumping from theory to practice, though, implies several health and ethics considerations that should not be ignored. The facts. Following the creation of artificial meatballs last year, the San Francisco-based Memphis Meats startup have now announced the world's first lab-grown chicken strips. How? Artificial meat is made in vitro, i.e from pieces of lab-grown muscle tissue instead of living animals. Select mother cells are grown under sterile conditions in order to produce muscle tissue with meat characteristic texture and flavour. The cells nourish[...]
PhD Edurne Gastón Estanga
Project Manager Officer
PhD Food Science and Technology
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Food waste valorisation: new horizons for a more sustainable society

  The processing of agro-food has increased considerably during the last 25 years mainly on account of feeding the rising population. The result is the simultaneous generation of food processing wastes.  A statistical study done by Baiano [1] reveals that about 26% of food wastes are generated from the drinks industry, followed by the dairy industry (21%), fruit/vegetable production and processing (14.8%), cereal processing and manufacturing (12.9%), meat product processing and preservation (8%), manufacturing and processing of vegetable and animal oils (3.9%) fish product processing and preservation (0.4%) and others (12.7%). Such food wastes are diverted to landfills and their[...]
PhD Arunima Nayak
Marie Curie Researcher
PhD in Environmental Chemistry
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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[...]
Carlota Feliu
Marketing Department
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