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Last updateFri, 23 Feb 2024 1pm

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A plant-derived material can clean water contaminated by metals and persistent compounds with high efficiency

The Centre for Materials Physics (CFM, CSIC-UPV/EHU) has developed a material that can clean water and other fluids contaminated by heavy metals and organic compounds such as pharmaceuticals. Laboratory tests show that the material can trap pollutants with efficiencies close to 100 % in the case of heavy metals, and over 50 % in the case of some organic compounds.

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Reinforced paper for containers and packaging

The INIA-CSIC Forestry Research Centre has developed a method to increase the compressive strength and stiffness of packaging paper. Based on the reuse of ligno-cellulose waste, it gives the paper greater strength with less fibre, keeping its performance intact and generating less waste. The absence of sulphur makes the reinforced paper suitable for all types of uses, including food. They are currently looking for companies interested in developing the technology.

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Achieving a null CO2 footprint by cyanobacteria

Scientists at the National Biotechnology Centre are researching to develop industrial processes with a zero CO2 footprint based on recombinant strains of cyanobacteria. They have obtained a cyanobacteria strain that produces sucrose efficiently from CO2, and does not need osmotic stress neither high salinity environments, making it easier to cultivate. Scientists are now working to transfer the method to industry.

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Device for predicting the recovery capacity of trees after a wildfire

Being able to predict the resilience of trees after a fire is essential for decision-making. A team of scientists has developed a device that makes it possible to determine the survival of living tissue under the bark of trees by measuring the electrical resistance.

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Analysing water pollutants in situ and with a mobile phone

CSIC scientists have developed a disposable electrochemical sensor to detect contaminants in water. No sample pre-treatment is required and water can be analysed on site in the field. The sensor can be connected to a portable device, such as a mobile phone, and no specific training is needed to use it.

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