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Data science (digitalisation and artificial intelligence) became more than an important facilitator for many domains in fundamental and applied sciences as well as industry and is disrupting the way of research already to a large extent. Originally, data sciences were viewed to be well-suited, especially, for data-intensive applications such as image processing, pattern recognition, etc. In the recent past, particularly, data-driven and physics-inspired machine learning methods have been developed to an extent that they accelerate numerical simulations and became directly usable for applications related to the nuclear waste management cycle. In addition to process-based approaches for creating surrogate models, other disciplines such as virtual reality methods and high-performance computing are leveraging the potential of data sciences more and more. The present challenge is utilising the best models, input data and monitoring information to integrate multi-chemical-physical, coupled processes, multi-scale and probabilistic simulations in Digital Twins (DTw) able to mirror or predict the performance of its corresponding physical twins. Therefore, the main target of the Topical Collection is exploring how the development of DTw can benefit the development of safe, efficient solutions for the pre-disposal and disposal of radioactive waste. A particular challenge for DTw in radioactive waste management is the combination of concepts from geological modelling and underground construction which will be addressed by linking structural and multi-physics/chemistry process models to building or tunnel information models. As for technical systems, engineered structures a variety of DTw approaches already exist, the development of DTw concepts for geological systems poses a particular challenge when taking the complexities (structures and processes) and uncertainties at extremely varying time and spatial scales of subsurface environments into account.
Iron nanoparticles (NPs) metabolism is directly associated to human health due to their use as anemia treatment and should be studied in detail in cells. Here we present a speciation strategy for the determination of the metabolic products of iron oxide nanoparticles coated by tartaric and adipic acids in enterocytes-like cell models (Caco-2 and HT-29). Such methodology is based on the use of SDS-modified reversed phase high performance liquid chromatography (HPLC) separation using inductively coupled plasma-mass spectrometry (ICP-MS) as Fe selective detector. Post-column isotope dilution analysis is used as quantification tool by adding Fe-57 as isotopically enriched standard. To assess the separation capability of the method, two different iron nanostructures: iron sucrose nanoparticles -Venofer®- used as model suspension and iron tartrate/adipate-modified nanoparticles, both of about 4 nm (core size) were evaluated. The two nanostructures were injected into the system showing good peak profiles and quantitative elution recoveries (>80%) in both cases. In addition, both nanoparticulate fractions could be based-line separated from ionic iron species, which needed to be complexed with 1mM citrate to elute from the column. Exposed cells up to 0.5mM of iron tartrate/adipate-modified nanoparticles were specifically treated to extract the internalized NPs and the extracts examined using the proposed strategy. The obtained results revealed the presence of three different fractions corresponding to nanoparticle aggregates, dispersed nanoparticles and soluble iron respectively in a single chromatographic run. Quantitative experiments (column recoveries ranging from 60 to 80%) revealed the presence of the majority of the Fe in the nanoparticulated form (>75%) by summing up the dispersed and aggregate particles. Such experiments point out the high uptake and low solubilization rate of the tartrate/adipate NPs making these structures highly suitable as Fe supplements in oral anemia treatments.
The need to improve the sustainability and the need for innovation in the cement industry has brought to light the practice of using additives to the cement in order to decrease CO2 emissions in industrial plants and increase the quality of cement in terms of durability and performance. Currently some additives have been employed as granulated blast furnace slag, limestone and pozzolan. The additives give mortar and concrete larger energy efficiency, gain in durability and resistance, contributing to buildings with slender structures and cheaper and durable maintenance. Besides natural pozzolan can be used artificial ones, as calcined clays, and over a range of amorphous aluminates and silicates waste, with highly reactive function as a binder material in the presence of water and calcium hydroxide. Calcined kaolinite clays were characterized using various techniques such as XRD, thermal analysis, and NMR observing 27Al and 29Si nuclei. The results showed that there is a structural modification of the samples, from crystalline to amorphous phases with the increasing of temperature in the calcination process. There is an improving in the reactivity of calcined clays by the range of 600ºC to 750ºC temperature in the reaction with calcium oxide, according to data from Chapelle test, indicating the possibility of using them as additives for cement and confirming their pozzolanic potential.
The need to improve the sustainability and the need for innovation in the cement industry has brought to light the practice of using additives to the cement in order to decrease CO2 emissions in industrial plants and increase the quality of cement in terms of durability and performance. Currently some additives have been employed as granulated blast furnace slag, limestone and pozzolan. The additives give mortar and concrete larger energy efficiency, gain in durability and resistance, contributing to buildings with slender structures and cheaper and durable maintenance. Besides natural pozzolan can be used artificial ones, as calcined clays, and over a range of amorphous aluminates and silicates waste, with highly reactive function as a binder material in the presence of water and calcium hydroxide. Calcined kaolinite clays were characterized using various techniques such as XRD, thermal analysis, and NMR observing 27Al and 29Si nuclei. The results showed that there is a structural modification of the samples, from crystalline to amorphous phases with the increasing of temperature in the calcination process. There is an improving in the reactivity of calcined clays by the range of 600ºC to 750ºC temperature in the reaction with calcium oxide, according to data from Chapelle test, indicating the possibility of using them as additives for cement and confirming their pozzolanic potential.