The PrISMa (“Process-Informed designed of tailor-made sorbent materials for energy efficient carbon capture”) project is an international effort funded through the ACT programme (Accelerating CCS Technologies, Horizon2020 Project No 294766). It accelerates the transition of energy and industrial sectors to a low-carbon economy by developing a technology platform to tailor-make cost-efficient carbon capture solutions for a range of different CO2 sources and CO2 use/destinations. This platform will guarantee an optimal separation in terms of an effective carbon price (ECP) that makes a particular process economically viable and environmentally beneficial. To achieve this aim, PrISMa integrates materials and process design, supported by computational materials genomic approaches, life cycle analysis, machine-learning, high-throughput material synthesis and characterization, device-performance testing, value chain analysis and systematic process design. In addition, PrISMa aims to initiate a systematic thinking about efficient solutions to mitigate CO2 emissions from different local CO2 sources that are optimal for a specific local setting. In such a setting the impact of PrISMa will be significant as the need for tailor-made solutions will be increasingly important if CO2 mitigation at the local level becomes the norm. The PrISMa platform allows for high-throughput screening of materials to maximise their impact, enables the design of efficient pilot-scale test facilities with improved processes under real conditions and, decreases the time to market of affordable, cost-competitive, low environmental impact, and resource-efficient advanced capture technologies. Through the integration of materials design, process design and environmental considerations, we change the paradigm on how novel materials are developed for carbon capture applications.

Separations use as much as 15% of our energy consumption; the future of our planet may depend on the efficiency atwhich we capture CO , currently one of the boldest separation research areas. Recent developments in syntheticchemistry allow us to synthesize millions of different nanoporous crystalline materials. For instance, by combining ametal node with an organic linker, one can synthesize a nearly infinite number of metal organic frameworks(MOFs). However, designing and constructing tailor-made materials for specific applications is one of the key researchchallenges that still remains to be addressed. In other words, a systematic approach on how to select from such alarge number of materials, the ones that are optimal for a given carbon-capture process, is still lacking. In this work, we integrate recent developments in Material Science and Materials Genomics, in which we generate insilico millions of candidate materials for CO capture, with process design and techno-economic and environmentalanalyses. The lack of such integration has been identified as one of the key bottlenecks that limit the prospect of novelmaterials for carbon capture technologies to reach the market. This study is carried out within the framework of the PrISMa project ( http://www.act-ccs.eu/prisma ), which is an international effort that aims to accelerate the transition ofenergy and industrial sectors to a low-carbon economy by developing a technology platform to tailor-make cost-efficientcarbon capture solutions for a range of different CO sources and CO use/destinations.Our aimed technology platformwill allow us to tailor-make carbon capture solutions in terms of an effective carbon price (ECP) that makes a particularprocess economically viable. To achieve that, we integrate materials and process design, supported by computationalmaterials genomic approaches, machine-learning, high-throughput material synthesis and characterization, device-performance testing, value chain analysis and systematic process design. Through this integration, we aim to change the paradigm on how novel materials are developed for chemicalengineering applications. Some recent results from the PrISMa collaboration involved the design of a metal organicframework that can capture CO in wet flue gasses (see Figure 1). As a similar approach can be developed for otherseparations, we expect the impact of this work in terms of the potential to decrease the time to market for novelmaterials to go beyond carbon capture applications.

An NAD+-dependent enzymatic sensor with biofuel cell power source system for non-invasive monitoring of lactate in sweat was designed, developed, and tested. The sensor component, based on lactate dehydrogenase, showed linear current response with increasing lactate concentrations with limits of detection from 5 to 100 mM lactate and sensitivity of 0.2 µA.mM-1 in the presence of target analyte. In addition to the sensor patch a power source was also designed, developed and tested. The power source was a biofuel cell designed to oxidize glucose via glucose oxidase. The biofuel cell showed excellent performance, achieving over 80 mA at 0.4 V (16 mW) in a footprint of 3.5 × 3.5 × 0.7 cm. Furthermore, in order to couple the sensor to the power source, system electronic components were designed and fabricated. These consisted of an energy harvester (EH) and a micropotentiostat (MP). The EH was employed for harvesting power provided by the biofuel cell as well as up-converting the voltage to 3.0 V needed for the operation of the MP. The sensor was attached to MP for chronoamperometric detection of lactate. The Sensor Patch System was demonstrated under laboratory conditions.

Objective: To characterize the clinical presentation and outcomes of Kawasaki disease (KD) in infants <6 months of age as compared to those ≥6 months in Latin America. Methods: We evaluated 36 infants <6 months old and 940 infants ≥6 months old diagnosed with KD in Latin America. We compared differences in laboratory data, clinical presentation, treatment response, and coronary artery outcomes between the two cohorts. Results: The majority (78.1%) of infants and children ≥6 months of age were initially diagnosed with KD, as compared to only 38.2% of infants <6 months. Clinical features of KD were more commonly observed in the older cohort: oral changes (92 vs. 75%, P = 0.0023), extremity changes (74.6 vs. 57.1%, P = 0.029), and cervical lymphadenopathy (67.6 vs. 37.1%, P = 0.0004). Whether treated in the first 10 days of illness or after the 10th day, infants <6 months were at greater risk of developing a coronary artery aneurysm compared to KD patients ≥6 months treated at the same point in the course of illness [ ≤ 10 days (53.8 vs. 9.4%, P = 0.00012); >10 days (50 vs. 7.4%, P = 0.043)]. Conclusion: Our data show that despite treatment in the first 10 days of illness, infants <6 months of age in Latin America have a higher risk of developing a coronary artery aneurysm. Delay in the diagnosis leads to larger coronary artery aneurysms disproportionately in these infants. Thus, suspicion for KD should be high in this vulnerable population.

Recent diffusion imaging studies using free-water (FW) elimination have shown increased FW in gray matter (GM) and white matter (WM) in first-episode psychosis (FEP) and lower corrected fractional anisotropy (FAt) in WM in chronic schizophrenia. However, little is known about the longitudinal stability and clinical significance of these findings. To determine tissue-specific FW and FAt abnormalities in FEP, as part of a multicenter Spanish study, 132 FEP and 108 healthy controls (HC) were clinically characterized and underwent structural and diffusion-weighted MRI scanning. FEP subjects were classified as schizophrenia spectrum disorder (SSD) or non-SSD. Of these subjects, 45 FEP and 41 HC were longitudinally assessed and rescanned after 2 years. FA and FW tissue-specific measurements were cross-sectional and longitudinally compared between groups using voxel-wise analyses in the skeletonized WM and vertex-wise analyses in the GM surface. SSD and non-SSD subjects showed (a) higher baseline FW in temporal regions and in whole GM average (P.adj(SSD vs HC) = .003, P.adj(Non-SSD vs HC) = .040) and (b) lower baseline FAt in several WM tracts. SSD, but not non-SSD, showed (a) higher FW in several WM tracts and in whole WM (P.adj(SSD vs HC)= .049) and (b) a significant FW decrease over time in temporal cortical regions and in whole GM average (P.adj = .011). Increased extracellular FW in the brain is a reliable finding in FEP, and in SSD appears to decrease over the early course of the illness. FAt abnormalities are stable during the first years of psychosis.