{"type": "FeatureCollection", "features": [{"id": "10.1016/j.jaap.2018.11.019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:17:10Z", "type": "Journal Article", "created": "2018-11-16", "title": "Heterogeneous kinetics of timber charring at the microscale", "description": "Abstract   Timber is becoming a popular construction material even for high-rise buildings despite its poorly understood fire behaviour. In a fire, timber\u2014a natural polymer\u2014degrades in the thermochemical process of charring, causing it to lose structural strength. In spite of significant research on the physics of charring, the chemical kinetics\u2014reactions and kinetic parameters for pyrolysis and oxidation\u2014remains a scientific challenge to model accurately. Current kinetic models are either computationally too expensive or neglect key chemical pathways. Here we derive a new appropriate kinetic model for fire science at the microscale using a novel methodology. First, we built a kinetic model for each component of timber (cellulose, hemicellulose, and lignin) from literature studies and experiments of the components. Then, we combined these three models into one kinetic model (8 reactions, 8 chemical species) for timber. This approach accounts for chemical differences among timber species. However, the timber model is only able to reproduce the trend in the experiments when literature parameters are used. Using multi-objective inverse modelling, we extract a new set of optimised kinetic parameters from 16 high-quality experiments from the literature. The novel optimised kinetic model is able to reproduce these 16 and a further 64 (blind predictions) experiments nearly within the experimental uncertainty, spanning different heating rates (1\u201360\u2009K/min), oxygen concentrations (0\u201360 %), and even isothermal experiments (220\u2013300\u2009\u00b0C). Furthermore, the model outperforms current kinetic models for fire science in accuracy across a wide range of conditions without an increase in complexity. Incorporated into a model of heat and mass transfer, this new and optmised kinetic model could improve the understanding of timber burning and has the potenial to lead to safer designs of timber buildings.", "keywords": ["Technology", "Engineering", " Chemical", "Energy & Fuels", "THERMOGRAVIMETRIC ANALYSIS", "Charring", "0904 Chemical Engineering", "Chemical", "Timber", "02 engineering and technology", "WOOD", "7. Clean energy", "0201 civil engineering", "REACTION-MECHANISMS", "COMBUSTION", "Engineering", "0202 electrical engineering", " electronic engineering", " information engineering", "Biomass", "Science & Technology", "Energy", "Chemistry", " Analytical", "FAST BIOMASS PYROLYSIS", "CELLULOSE PYROLYSIS", "Analytical", "Fire", "THERMAL-DECOMPOSITION", "620", "MODEL", "Chemistry", "Kinetics", "13. Climate action", "Physical Sciences", "INTRINSIC KINETICS", "DEGRADATION BEHAVIOR", "0301 Analytical Chemistry", "Pyrolysis"]}, "links": [{"href": "https://doi.org/10.1016/j.jaap.2018.11.019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Analytical%20and%20Applied%20Pyrolysis", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jaap.2018.11.019", "name": "item", "description": "10.1016/j.jaap.2018.11.019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jaap.2018.11.019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "10.1002/rcm.6254", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:15:00Z", "type": "Journal Article", "created": "2012-09-15", "title": "Soil Mineral N Retention And N2o Emissions Following Combined Application Of 15n-Labelled Fertiliser And Weed Residues", "description": "RATIONALE<p>The combination of plant residues with inorganic fertiliser\uffe2\uff80\uff90N provides the potential to increase N\uffe2\uff80\uff90use efficiency in agricultural fruit production systems, such as olive orchards. The development of weeds in the inter\uffe2\uff80\uff90canopy area of olive orchards is encouraged as a novel strategy to reduce soil erosion. However, little is known about soil N retention or N2O production following the combined application of inorganic\uffe2\uff80\uff90N with the mulched weed residues.</p>METHODS<p>Emissions of 15N\uffe2\uff80\uff90N2O and soil mineral 15N retention were measured following combined applications of 15N\uffe2\uff80\uff90labelled fertiliser and a range of olive crop weed residues to a silty loam soil under controlled conditions. These plant residues differed in their C:N ratios, lignin and polyphenol contents.</p>RESULTS<p>The magnitude of soil 15N\uffe2\uff80\uff90NO3\uffe2\uff80\uff93 retention from combining plant residues and fertiliser\uffe2\uff80\uff90N was highly dependent on potential N mineralisation (r\uffe2\uff80\uff89=\uffe2\uff80\uff89\uffe2\uff88\uff920.96) and the (lignin\uffe2\uff80\uff89+\uffe2\uff80\uff89polyphenol)\uffe2\uff80\uff90to\uffe2\uff80\uff90N ratio (r\uffe2\uff80\uff89=\uffe2\uff80\uff890.98) of the residues. Fertiliser\uffe2\uff80\uff90N\uffe2\uff80\uff90derived retention was zero for a legume\uffe2\uff80\uff90based mulch but up to 80% in the treatment containing plant residues with a high (lignin\uffe2\uff80\uff89+\uffe2\uff80\uff89polyphenol)\uffe2\uff80\uff90to\uffe2\uff80\uff90N ratio. N2O emissions increased after the addition of residues, and increased further (up to 128%) following the combined application of inorganic fertiliser and residues. Fertiliser\uffe2\uff80\uff90derived 15N\uffe2\uff80\uff90N2O was &lt;1.4% of the total 14+15N\uffe2\uff80\uff90N2O emission and &lt;0.01% of the applied 15N\uffe2\uff80\uff90NO3\uffe2\uff80\uff93. Enhanced N2O emissions following the application of residues and the fertiliser\uffe2\uff80\uff90N values were positively correlated with the C:N ratio of the residue. Thus, combining organic\uffe2\uff80\uff90 and inorganic\uffe2\uff80\uff90N immobilised a significant proportion of the inorganic N with little increase in N2O, especially in low C:N ratio residues.</p>CONCLUSIONS<p>The results demonstrate that whilst there is potential for N2O emissions to be controlled by combining weed residues and inorganic fertilisers, this is not easy to achieve as the magnitude and direction of interactions vary between different species due to their varying substrate qualities. Copyright \uffc2\uffa9 2012 John Wiley &amp; Sons, Ltd.</p>", "keywords": ["2. Zero hunger", "Nitrogen", "Chemistry", " Analytical", "Nitrous Oxide", "04 agricultural and veterinary sciences", "15. Life on land", "Plants", "01 natural sciences", "6. Clean water", "Biochemical Research Methods", "0104 chemical sciences", "Soil", "13. Climate action", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Fertilizers", "Spectroscopy", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1002/rcm.6254"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Rapid%20Communications%20in%20Mass%20Spectrometry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/rcm.6254", "name": "item", "description": "10.1002/rcm.6254", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/rcm.6254"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-09-10T00:00:00Z"}}, {"id": "10.1007/s11104-022-05530-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:15:51Z", "type": "Journal Article", "created": "2022-06-11", "title": "Impact of root hairs on microscale soil physical properties in the field", "description": "Abstract                  Aims                 <p>Recent laboratory studies revealed that root hairs may alter soil physical behaviour, influencing soil porosity and water retention on the small scale. However, the results are not consistent, and it is not known if structural changes at the small-scale have impacts at larger scales. Therefore, we evaluated the potential effects of root hairs on soil hydro-mechanical properties in the field using rhizosphere-scale physical measurements.</p>                                Methods                 <p>Changes in soil water retention properties as well as mechanical and hydraulic characteristics were monitored in both silt loam and sandy loam soils. Measurements were taken from plant establishment to harvesting in field trials, comparing three barley genotypes representing distinct phenotypic categories in relation to root hair length. Soil hardness and elasticity were measured using a 3-mm-diameter spherical indenter, while water sorptivity and repellency were measured using a miniaturized infiltrometer with a 0.4-mm tip radius.</p>                                Results                 <p>Over the growing season, plants induced changes in the soil water retention properties, with the plant available water increasing by 21%. Both soil hardness (P\uffe2\uff80\uff89=\uffe2\uff80\uff890.031) and elasticity (P\uffe2\uff80\uff89=\uffe2\uff80\uff890.048) decreased significantly in the presence of root hairs in silt loam soil, by 50% and 36%, respectively. Root hairs also led to significantly smaller water repellency (P\uffe2\uff80\uff89=\uffe2\uff80\uff890.007) in sandy loam soil vegetated with the hairy genotype (-49%) compared to the hairless mutant.</p>                                Conclusions                 <p>Breeding of cash crops for improved soil conditions could be achieved by selecting root phenotypes that ameliorate soil physical properties and therefore contribute to increased soil health.</p>", "keywords": ["/dk/atira/pure/subjectarea/asjc/1100/1111", "0106 biological sciences", "Supplementary Data", "QH301 Biology", "/dk/atira/pure/subjectarea/asjc/1100/1110", "Soil Science", "Rural and Environmental Science and Analytical Services (RESAS)", "Plant Science", "01 natural sciences", "630", "QH301", "BBSRC BB/L025825/1", "Barley", "Soil health", "Soil structure", "Root hairs", "Soil hydromechanical properties", "BB/L025620/1", "580", "2. Zero hunger", "name=Soil Science", "ERCDMR-646809", "04 agricultural and veterinary sciences", "15. Life on land", "Soil water retention", "BBSRC BB/J00868/1", "6. Clean water", "Biotechnology and Biological Sciences Research Council (BBSRC)", "0401 agriculture", " forestry", " and fisheries", "Other", "name=Plant Science", "Research Article"]}, "links": [{"href": "https://eprints.soton.ac.uk/484590/2/s11104_022_05530_1.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1007/s11104-022-05530-1.pdf"}, {"href": "https://doi.org/10.1007/s11104-022-05530-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-022-05530-1", "name": "item", "description": "10.1007/s11104-022-05530-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-022-05530-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-11T00:00:00Z"}}, {"id": "10.1016/j.envpol.2022.120472", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:16:48Z", "type": "Journal Article", "created": "2022-10-19", "title": "Comparative toxicological assessment of three soils polluted with different levels of hydrocarbons and heavy metals using in vitro and in vivo approaches", "description": "The biological effects induced by the pollutants present in soils, together with the chemical and physical characterizations, are good indicators to provide a general overview of their quality. However, the existence of studies where the toxicity associated to soils contaminated with mixtures of pollutants applying both in vitro and in vivo models are scarce. In this work, three soils (namely, Soil 001, Soil 002 and Soil 013) polluted with different concentrations of hydrocarbons and heavy metals were evaluated using different organisms representative of human (HepG2 human cell line) and environmental exposure (the yeast Saccharomyces cerevisiae, the Gram-negative bacterium Pseudomonas putida and, for the in vivo evaluation, the annelid Enchytraeus crypticus). In vitro assays showed that the soluble fraction of the Soil 001, which presented the highest levels of heavy metals, represented a great impact in the viability of the HepG2 cells and S. cerevisiae, while organic extracts from Soils 002 and 013 caused a slight decrease in the viability of HepG2 cells. In addition, in vivo experiments showed that Soils 001 and 013 affected the survival and the reproduction of E. crypticus. Altogether, these results provide a general overview of the potential hazards associated to three specific contaminated sites in a variety of organisms, showing how different concentrations of similar pollutants affect them, and highlights the relevance of testing both organic and soluble extracts when in vitro safety assays of soils are performed.", "keywords": ["Pseudomonas putida", "Enchytraeus crypticus", "Qu\u00edmica anal\u00edtica", "Saccharomyces cerevisiae", "Analytic", "01 natural sciences", "Hydrocarbons", "6. Clean water", "HepG2 cellsSaccharomyces cerevisiaePseudomonas putidaEnchytraeus crypticusSoil contamination", "Chemistry", "Soil", "Soil contamination", "13. Climate action", "Metals", " Heavy", "Humans", "Soil Pollutants", "Chemistry", " Analytic", "HepG2 cells Saccharomyces cerevisiae Pseudomonas putida Enchytraeus crypticus Soil contamination", "HepG2 cells", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2022.120472"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2022.120472", "name": "item", "description": "10.1016/j.envpol.2022.120472", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2022.120472"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-01T00:00:00Z"}}, {"id": "10.1016/j.talanta.2018.09.033", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:17:55Z", "type": "Journal Article", "created": "2018-09-12", "title": "Assessment of the DGT technique in digestate to fraction twelve trace elements", "description": "This study proposes an evaluation of the diffusive gradients in thin films technique (DGT) for studying trace elements in digested sewage sludge samples. Twelve elements were monitored by Chelex (Al, Cd, Co, Cr (III), Cu, Fe, Mn, Ni, Pb) and zirconia-DGT (As, Mo, Se) samplers exposed from 4\u202fh to 9 days. Twenty-four hours' deployment time was suitable for most of the studied elements. However, short deployment led to insufficient element accumulation or non-establishment of steady state while long deployment (from 18 to 144\u202fh depending on the element) led to saturation of the binding gels and/or competing effects with other major elements. In addition, this study showed that the matrix of the digested sewage sludge lowers the accumulation of some trace elements in the DGT samplers, leading to labile concentrations underestimation of roughly 10-30% (depending on the element). Moreover, compared to the conventional total dissolved elements measurement, DGT technique allowed to quantify 7 out of 12 labile elements whereas only 3 out of 12 dissolved elements were quantified. These results highlight the potential of DGT technique to assess labile trace elements in digestate samples, provided a careful adaptation of the deployment time as well as an evaluation of the matrix effect is performed.", "keywords": ["550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "Matrix interferences", "Speciation", "Metalloids Speciation", "Chemistry (all)", "Biochemistry", "01 natural sciences", "6. Clean water", "Analytical Chemistry", "0104 chemical sciences", "Passive sampling", "[CHIM.ANAL]Chemical Sciences/Analytical chemistry", "Digested sewage sludge", "Metals", "628", "Digested sewage sludge; Matrix interferences; Metalloids; Metals; Passive sampling; Speciation; Analytical Chemistry; Chemistry (all); Biochemistry; Spectroscopy", "Spectroscopy", "Metalloids", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.talanta.2018.09.033"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Talanta", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.talanta.2018.09.033", "name": "item", "description": "10.1016/j.talanta.2018.09.033", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.talanta.2018.09.033"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.1021/acs.est.7b02944", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:18:03Z", "type": "Journal Article", "created": "2017-10-11", "title": "Novel Multi-isotope Tracer Approach To Test ZnO Nanoparticle and Soluble Zn Bioavailability in Joint Soil Exposures", "description": "Here we use two enriched stable isotopes, 68Znen and 64Znen (>99%), to prepare 68ZnO nanoparticles (NPs) and soluble 64ZnCl2. The standard LUFA 2.2 test soil was dosed with 68ZnO NPs and soluble 64ZnCl2 to 5 mg kg-1 each, plus between 0 and 95 mg kg-1 of soluble ZnCl2 with a natural isotope composition. After 0, 1, 3, 6, and 12 months of soil incubation, earthworms (Eisenia andrei) were introduced for 72 h exposures. Analyses of soils, pore waters, and earthworm tissues using multiple collector inductively coupled plasma mass spectrometry allowed the simultaneous measurement of the diagnostic 68Zn/66Zn, 64Zn/66Zn, and 68Zn/64Zn ratios, from which the three different isotopic forms of Zn were quantified. Eisenia andrei was able to regulate Zn body concentrations with no difference observed between the different total dosing concentrations. The accumulation of labeled Zn by the earthworms showed a direct relationship with the proportion of labeled to total Zn in the pore water, which increased with longer soil incubation times and decreasing soil pH. The 68Znen/64Znen ratios determined for earthworms (1.09 \u00b1 0.04), soils (1.09 \u00b1 0.02), and pore waters (1.08 \u00b1 0.02) indicate indistinguishable environmental distribution and uptake of the Zn forms, most likely due to rapid dissolution of the ZnO NPs.", "keywords": ["104002 Analytische Chemie", "550", "TRANSFORMATIONS", "FATE", "0211 other engineering and technologies", "Biological Availability", "02 engineering and technology", "01 natural sciences", "Soil", "104002 Analytical chemistry", "104023 Umweltchemie", "ENGINEERED NANOMATERIALS", "MD Multidisciplinary", "Animals", "Soil Pollutants", "105906 Environmental geosciences", "210004 Nanomaterials", "Oligochaeta", "EARTHWORM EISENIA-ANDREI", "0105 earth and related environmental sciences", "ENVIRONMENT", "104023 Environmental chemistry", "KNOWLEDGE GAPS", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Zinc", "Nanoparticles", "Zinc Isotopes", "Zinc Oxide", "210004 Nanomaterialien", "Environmental Sciences", "105906 Umweltgeowissenschaften"]}, "links": [{"href": "https://pubs.acs.org/doi/pdf/10.1021/acs.est.7b02944"}, {"href": "https://doi.org/10.1021/acs.est.7b02944"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1021/acs.est.7b02944", "name": "item", "description": "10.1021/acs.est.7b02944", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1021/acs.est.7b02944"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-26T00:00:00Z"}}, {"id": "10.1021/acs.jafc.9b00497", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:18:04Z", "type": "Journal Article", "created": "2019-04-23", "title": "Furanolysis with Menthofuran: A New Depolymerization Method for Analyzing Condensed Tannins", "description": "An improved analytical depolymerization method for characterizing condensed tannins was developed with menthofuran (3,6-dimethyl-4,5,6,7-tetrahydro-1-benzofuran) as the nucleophilic trapping reagent. Herein, menthofuran was compared with routinely used nucleophiles, phloroglucinol and 2-mercaptoethanol. At 30 \u00b0C and in the presence of 0.1 M HCl, menthofuran displayed the outstanding ability to enable the fast and full depolymerization of procyanidin B2 using only a 1:1 molar ratio of both reactants. Under the same conditions, phloroglucinol and 2-mercaptoethanol led to a reaction equilibrium with significantly lower conversion yields. Application to commercial tannin extracts showed that a menthofuran-to-extract weight ratio of 1 gave the same yields of procyanidin constitutive units as 10-fold higher molecular equivalent phloroglucinol and 100-fold 2-mercaptoethanol. Finally, guidelines for implementing the menthofuran depolymerization method are proposed to assess the tannin content and composition of extracts as well as of plant materials without prior extraction.", "keywords": ["[CHIM.ANAL] Chemical Sciences/Analytical chemistry", "m\u00e9thode analytique", "Ing\u00e9nierie des aliments", "Menthofuran", "Analytical method", "01 natural sciences", "Catechin", "Chemistry Techniques", " Analytical", "Polymerization", "[CHIM.ANAL]Chemical Sciences/Analytical chemistry", "Food engineering", "Biflavonoids", "Condensed tannins", "Proanthocyanidins", "tanin", "Plant Extracts", "UHPLC-DAD-MS", "540", "6. Clean water", "0104 chemical sciences", "furane", "Furylated flavonoids", "Monoterpenes", "flavono\u00efde", "Furan derivatives", "d\u00e9polym\u00e9risation", "Tannins", "Depolymerization"]}, "links": [{"href": "https://pubs.acs.org/doi/pdf/10.1021/acs.jafc.9b00497"}, {"href": "https://hal.science/hal-02295527/file/Billerach_postprint_2019.pdf"}, {"href": "https://doi.org/10.1021/acs.jafc.9b00497"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Agricultural%20and%20Food%20Chemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1021/acs.jafc.9b00497", "name": "item", "description": "10.1021/acs.jafc.9b00497", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1021/acs.jafc.9b00497"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.1038/s41467-021-23257-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:18:22Z", "type": "Journal Article", "created": "2021-05-31", "title": "Imaging-based spectrometer-less optofluidic biosensors based on dielectric metasurfaces for detecting extracellular vesicles", "description": "Abstract<p>Biosensors are indispensable tools for public, global, and personalized healthcare as they provide tests that can be used from early disease detection and treatment monitoring to preventing pandemics. We introduce single-wavelength imaging biosensors capable of reconstructing spectral shift information induced by biomarkers dynamically using an advanced data processing technique based on an optimal linear estimator. Our method achieves superior sensitivity without wavelength scanning or spectroscopy instruments. We engineered diatomic dielectric metasurfaces supporting bound states in the continuum that allows high-quality resonances with accessible near-fields by in-plane symmetry breaking. The large-area metasurface chips are configured as microarrays and integrated with microfluidics on an imaging platform for real-time detection of breast cancer extracellular vesicles encompassing exosomes. The optofluidic system has high sensing performance with nearly 70 1/RIU figure-of-merit enabling detection of on average 0.41 nanoparticle/\uffc2\uffb5m2 and real-time measurements of extracellular vesicles binding from down to 204 femtomolar solutions. Our biosensors provide the robustness of spectrometric approaches while substituting complex instrumentation with a single-wavelength light source and a complementary-metal-oxide-semiconductor camera, paving the way toward miniaturized devices for point-of-care diagnostics.</p", "keywords": ["0301 basic medicine", "Science", "Spectrum Analysis", "Q", "Breast Neoplasms", "Biosensing Techniques", "02 engineering and technology", "Microfluidic Analytical Techniques", "Exosomes", "Article", "3. Good health", "Refractometry", "03 medical and health sciences", "Point-of-Care Testing", "Humans", "Nanoparticles", "Female", "0210 nano-technology"]}, "links": [{"href": "https://www.nature.com/articles/s41467-021-23257-y.pdf"}, {"href": "https://doi.org/10.1038/s41467-021-23257-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41467-021-23257-y", "name": "item", "description": "10.1038/s41467-021-23257-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41467-021-23257-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-31T00:00:00Z"}}, {"id": "10.1039/c9ja00331b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:18:30Z", "type": "Journal Article", "created": "2019-12-09", "title": "Precise measurement of selenium isotopes by HG-MC-ICPMS using a 76\u201378 double-spike", "description": "<p>A novel <sup>76</sup>Se\u2013<sup>78</sup>Se double spike allows for rapid and precise selenium isotope measurements in geological samples.</p>", "keywords": ["34 Chemical Sciences", "3401 Analytical Chemistry", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "3406 Physical Chemistry", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "540", "7. Clean energy", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1039/c9ja00331b"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Analytical%20Atomic%20Spectrometry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1039/c9ja00331b", "name": "item", "description": "10.1039/c9ja00331b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1039/c9ja00331b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.1093/aob/mcaa181", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:18:59Z", "type": "Journal Article", "created": "2020-10-07", "title": "Significance of root hairs for plant performance under contrasting field conditions and water deficit", "description": "AbstractBackground and Aims<p>Previous laboratory studies have suggested selection for root hair traits in future crop breeding to improve resource use efficiency and stress tolerance. However, data on the interplay between root hairs and open-field systems, under contrasting soils and climate conditions, are limited. As such, this study aims to experimentally elucidate some of the impacts that root hairs have on plant performance on a field scale.</p>Methods<p>A field experiment was set up in Scotland for two consecutive years, under contrasting climate conditions and different soil textures (i.e. clay loam vs. sandy loam). Five barley (Hordeum vulgare) genotypes exhibiting variation in root hair length and density were used in the study. Root hair length, density and rhizosheath weight were measured at several growth stages, as well as shoot biomass, plant water status, shoot phosphorus (P) accumulation and grain yield.</p>Key Results<p>Measurements of root hair density, length and its correlation with rhizosheath weight highlighted trait robustness in the field under variable environmental conditions, although significant variations were found between soil textures as the growing season progressed. Root hairs did not confer a notable advantage to barley under optimal conditions, but under soil water deficit root hairs enhanced plant water status and stress tolerance resulting in a less negative leaf water potential and lower leaf abscisic acid concentration, while promoting shoot P accumulation. Furthermore, the presence of root hairs did not decrease yield under optimal conditions, while root hairs enhanced yield stability under drought.</p>Conclusions<p>Selecting for beneficial root hair traits can enhance yield stability without diminishing yield potential, overcoming the breeder\uffe2\uff80\uff99s dilemma of trying to simultaneously enhance both productivity and resilience. Therefore, the maintenance or enhancement of root hairs can represent a key trait for breeding the next generation of crops for improved drought tolerance in relation to climate change.</p", "keywords": ["construction", "0301 basic medicine", "EP/M020355/1", "Supplementary Data", "QH301 Biology", "drought tolerance", "/dk/atira/pure/subjectarea/asjc/1100/1110", "610", "Rural and Environmental Science and Analytical Services (RESAS)", "Plant Roots", "630", "root hairs", "QH301", "Soil", "03 medical and health sciences", "646809DIMR", "agricultural sustainability", "SDG 13 - Climate Action", "BB/L025620/1", "rhizosheath", "phosphorus", "NE/L00237/1", "Hordeum vulgare", "580", "2. Zero hunger", "Natural Environment Research Council (NERC)", "grain yield", "rhizoshealth", "barley", "Water", "soil texture", "Hordeum", "15. Life on land", "NA160430", "6. Clean water", "Droughts", "Plant Breeding", "root traits", "Engineering and Physical Sciences Research Council (EPSRC)", "Biotechnology and Biological Sciences Research Council (BBSRC)", "Other", "plant water status", "name=Plant Science", "BB/P004180/1", "BB/L025825/1"]}, "links": [{"href": "https://repository.uwl.ac.uk/id/eprint/7652/1/12050%20Naveed.pdf"}, {"href": "https://eprints.soton.ac.uk/453165/1/marinsignificance2020.pdf"}, {"href": "https://eprints.soton.ac.uk/453165/2/mcaa181.pdf"}, {"href": "https://doi.org/10.1093/aob/mcaa181"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Annals%20of%20Botany", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/aob/mcaa181", "name": "item", "description": "10.1093/aob/mcaa181", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/aob/mcaa181"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-10T00:00:00Z"}}, {"id": "10.1371/journal.pone.0184198", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:20:10Z", "type": "Journal Article", "created": "2017-09-01", "title": "Portfolio optimization for seed selection in diverse weather scenarios", "description": "The aim of this work was to develop a method for selection of optimal soybean varieties for the American Midwest using data analytics. We extracted the knowledge about 174 varieties from the dataset, which contained information about weather, soil, yield and regional statistical parameters. Next, we predicted the yield of each variety in each of 6,490 observed subregions of the Midwest. Furthermore, yield was predicted for all the possible weather scenarios approximated by 15 historical weather instances contained in the dataset. Using predicted yields and covariance between varieties through different weather scenarios, we performed portfolio optimisation. In this way, for each subregion, we obtained a selection of varieties, that proved superior to others in terms of the amount and stability of yield. According to the rules of Syngenta Crop Challenge, for which this research was conducted, we aggregated the results across all subregions and selected up to five soybean varieties that should be distributed across the network of seed retailers. The work presented in this paper was the winning solution for Syngenta Crop Challenge 2017.", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "Models", " Statistical", "Glycine max", "Science", "Climate Change", "Q", "R", "Uncertainty", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Portfolio optimisation", "Yield prediction", "Midwestern United States", "03 medical and health sciences", "0302 clinical medicine", "Seeds", "Medicine", "Regression Analysis", "0401 agriculture", " forestry", " and fisheries", "data analytics", "Weather", "Research Article"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0184198"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0184198", "name": "item", "description": "10.1371/journal.pone.0184198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0184198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-01T00:00:00Z"}}, {"id": "10.17863/cam.46707", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:20:32Z", "type": "Journal Article", "created": "2019-12-09", "title": "Precise measurement of selenium isotopes by HG-MC-ICPMS using a 76\u201378 double-spike", "description": "<p>A novel <sup>76</sup>Se\u2013<sup>78</sup>Se double spike allows for rapid and precise selenium isotope measurements in geological samples.</p>", "keywords": ["34 Chemical Sciences", "3401 Analytical Chemistry", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "3406 Physical Chemistry", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "540", "01 natural sciences", "7. Clean energy", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.17863/cam.46707"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Analytical%20Atomic%20Spectrometry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17863/cam.46707", "name": "item", "description": "10.17863/cam.46707", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17863/cam.46707"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.3390/ijgi11040257", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:37Z", "type": "Journal Article", "created": "2022-04-18", "title": "Assessment of Groundwater Potential Zones Using GIS and Fuzzy AHP Techniques\u2014A Case Study of the Titel Municipality (Northern Serbia)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Groundwater is one of the most important natural resources for reliable and sustainable water supplies in the world. To understand the use of water resources, the fundamental characteristics of groundwater need to be analyzed, but in many cases, in situ data measurements are not available or are incomplete. In this study, we used GIS and fuzzy analytic hierarchy process (FAHP) techniques for delineation of the groundwater potential zones (GWPZ) in the Titel Municipality (northern Serbia) based on quantitative assessment scores by experts (hydrologists, hydrogeologists, environmental and geoscientists, and agriculture experts). Six thematic layers, such as geology, geomorphology, slope, soil, land use/land cover, and drainage density were prepared and integrated into GIS software for generating the final map. The area falls into five classes: very good (25.68%), good (12.10%), moderate (15.18%), poor (41.34%), and very poor (5.70%). The GWPZ map will serve to improve the management of these natural resources to ensure future water protection and development of the agricultural sector, and the implemented method can be used in other similar natural conditions.</p></article>", "keywords": ["Geography (General)", "13. Climate action", "water management", "groundwater; geographic information systems (GIS); water management; fuzzy analytic hierarchy process (FAHP)", "groundwater", "0208 environmental biotechnology", "0207 environmental engineering", "geographic information systems (GIS)", "G1-922", "02 engineering and technology", "fuzzy analytic hierarchy process (FAHP)", "15. Life on land", "6. Clean water"]}, "links": [{"href": "http://www.mdpi.com/2220-9964/11/4/257/pdf"}, {"href": "https://www.mdpi.com/2220-9964/11/4/257/pdf"}, {"href": "https://doi.org/10.3390/ijgi11040257"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ISPRS%20International%20Journal%20of%20Geo-Information", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijgi11040257", "name": "item", "description": "10.3390/ijgi11040257", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijgi11040257"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-15T00:00:00Z"}}, {"id": "10.3390/ijms25105216", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:37Z", "type": "Journal Article", "created": "2024-05-14", "title": "Development of a Robust Read-Across Model for the Prediction of Biological Potency of Novel Peroxisome Proliferator-Activated Receptor Delta Agonists", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>A robust predictive model was developed using 136 novel peroxisome proliferator-activated receptor delta (PPAR\u03b4) agonists, a distinct subtype of lipid-activated transcription factors of the nuclear receptor superfamily that regulate target genes by binding to characteristic sequences of DNA bases. The model employs various structural descriptors and docking calculations and provides predictions of the biological activity of PPAR\u03b4 agonists, following the criteria of the Organization for Economic Co-operation and Development (OECD) for the development and validation of quantitative structure\u2013activity relationship (QSAR) models. Specifically focused on small molecules, the model facilitates the identification of highly potent and selective PPAR\u03b4 agonists and offers a read-across concept by providing the chemical neighbours of the compound under study. The model development process was conducted on Isalos Analytics Software (v. 0.1.17) which provides an intuitive environment for machine-learning applications. The final model was released as a user-friendly web tool and can be accessed through the Enalos Cloud platform\u2019s graphical user interface (GUI).</p></article>", "keywords": ["0301 basic medicine", "570", "610", "Quantitative Structure-Activity Relationship", "molecular docking", "01 natural sciences", "Isalos Analytics Platform", "in silico modelling", "Article", "0104 chemical sciences", "Molecular Docking Simulation", "Machine Learning", "03 medical and health sciences", "machine learning", "PPAR\u03b4 agonist", "Humans", "PPAR delta", "Software"]}, "links": [{"href": "https://www.mdpi.com/1422-0067/25/10/5216/pdf"}, {"href": "https://doi.org/10.3390/ijms25105216"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Molecular%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijms25105216", "name": "item", "description": "10.3390/ijms25105216", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijms25105216"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-10T00:00:00Z"}}, {"id": "10.3390/s20154127", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:21:46Z", "type": "Journal Article", "created": "2020-07-24", "title": "Smart Multi-Sensor Platform for Analytics and Social Decision Support in Agriculture", "description": "<p>Smart agriculture based on new types of sensors, data analytics and automation, is an important enabler for optimizing yields and maximizing efficiency to feed the world\uffe2\uff80\uff99s growing population while limiting environmental pollution. The aim of this paper is to describe a multi-sensor Internet of Things (IoT) system for agriculture consisting of a soil probe, an air probe and a smart data logger. The implementation details will focus of the integration element and the innovative Artificial Intelligence based gas identification sensor. Furthermore, the paper focuses on the analytics and decision support system implementation that provides farming recommendations and is enhanced with a feedback loop from farmers and a social trust index that will increase the reliability of the system.</p>", "keywords": ["330", "decision support system", "[SPI] Engineering Sciences [physics]", "Social IoT", "Internet of Things", "TP1-1185", "01 natural sciences", "7. Clean energy", "630", "data logger", "Article", "gas sensor", "[SPI]Engineering Sciences [physics]", "Soil", "sensor", "Artificial Intelligence", "social feedback", "data analytics", "agriculture", "2. Zero hunger", "Chemical technology", "Reproducibility of Results", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "0104 chemical sciences", "3. Good health", "13. Climate action", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/20/15/4127/pdf"}, {"href": "https://www.mdpi.com/1424-8220/20/15/4127/pdf"}, {"href": "https://doi.org/10.3390/s20154127"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s20154127", "name": "item", "description": "10.3390/s20154127", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s20154127"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-24T00:00:00Z"}}, {"id": "10.3929/ethz-b-000278733", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:55Z", "type": "Journal Article", "created": "2018-07-06", "title": "Cost\u2013benefit optimization of structural health monitoring sensor networks", "description": "<p>Structural health monitoring (SHM) allows the acquisition of information on the structural integrity of any mechanical system by processing data, measured through a set of sensors, in order to estimate relevant mechanical parameters and indicators of performance. Herein we present a method to perform the cost\uffe2\uff80\uff93benefit optimization of a sensor network by defining the density, type, and positioning of the sensors to be deployed. The effectiveness (benefit) of an SHM system may be quantified by means of information theory, namely through the expected Shannon information gain provided by the measured data, which allows the inherent uncertainties of the experimental process (i.e., those associated with the prediction error and the parameters to be estimated) to be accounted for. In order to evaluate the computationally expensive Monte Carlo estimator of the objective function, a framework comprising surrogate models (polynomial chaos expansion), model order reduction methods (principal component analysis), and stochastic optimization methods is introduced. Two optimization strategies are proposed: the maximization of the information provided by the measured data, given the technological, identifiability, and budgetary constraints; and the maximization of the information\uffe2\uff80\uff93cost ratio. The application of the framework to a large-scale structural problem, the Pirelli tower in Milan, is presented, and the two comprehensive optimization methods are compared.</p>", "keywords": ["Stochastic Processes", "structural health monitoring", "structural health monitoring; Bayesian inference; cost\u2013benefit analysis; stochastic optimization; information theory; Bayesian experimental design; surrogate modeling; model order reduction", "Chemical technology", "Cost-Benefit Analysis", "Bayesian inference", "Bayesian experimental design", "Uncertainty", "Bayes Theorem", "TP1-1185", "02 engineering and technology", "stochastic optimization", "Bayesian experimental design; Bayesian inference; Benefit analysis; Cost; Information theory; Model order reduction; Stochastic optimization; Structural health monitoring; Surrogate modeling; Algorithms; Monte Carlo Method; Nonlinear Dynamics; Stochastic Processes; Uncertainty; Bayes Theorem; Cost-Benefit Analysis; Analytical Chemistry; Atomic and Molecular Physics", " and Optics; Biochemistry; Instrumentation; Electrical and Electronic Engineering", "Article", "surrogate modeling", "0201 civil engineering", "Nonlinear Dynamics", "model order reduction", "cost\u2013benefit analysis", "Monte Carlo Method", "Algorithms", "information theory"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/18/7/2174/pdf"}, {"href": "https://re.public.polimi.it/bitstream/11311/1085132/1/Sensors_2018b.pdf"}, {"href": "https://doi.org/10.3929/ethz-b-000278733"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3929/ethz-b-000278733", "name": "item", "description": "10.3929/ethz-b-000278733", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3929/ethz-b-000278733"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-06T00:00:00Z"}}, {"id": "10.5281/zenodo.3268521", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:24:06Z", "type": "Report", "title": "Decision-Support System for Optimisation of Crop Configuration based on Artificial Intelligence", "description": "The work is the first official outcome of the collaboration between MSU and BS. Here we analysed the potential of multi-objective evolutionary algorithms in smart seed selection.", "keywords": ["Portfolio Optimisation", "Data analytics", "Evolutionary algorithms", "DSS"], "contacts": [{"organization": "Marko, Oskar, Pavlovi\u0107, Dejan, Crnojevi\u0107, Vladimir, Kalyanmoy Deb,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3268521"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3268521", "name": "item", "description": "10.5281/zenodo.3268521", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3268521"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-29T00:00:00Z"}}, {"id": "10.5281/zenodo.3268522", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:24:06Z", "type": "Report", "title": "Decision-Support System for Optimisation of Crop Configuration based on Artificial Intelligence", "description": "The work is the first official outcome of the collaboration between MSU and BS. Here we analysed the potential of multi-objective evolutionary algorithms in smart seed selection.", "keywords": ["Portfolio Optimisation", "Data analytics", "Evolutionary algorithms", "DSS"], "contacts": [{"organization": "Dejan Pavlovic, Oskar Marko, Vladimir Crnojevic, Kalyanmoy Deb,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3268522"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3268522", "name": "item", "description": "10.5281/zenodo.3268522", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3268522"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-29T00:00:00Z"}}, {"id": "10259/7490", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:25:28Z", "type": "Journal Article", "created": "2022-10-19", "title": "Comparative toxicological assessment of three soils polluted with different levels of hydrocarbons and heavy metals using in vitro and in vivo approaches", "description": "The biological effects induced by the pollutants present in soils, together with the chemical and physical characterizations, are good indicators to provide a general overview of their quality. However, the existence of studies where the toxicity associated to soils contaminated with mixtures of pollutants applying both in vitro and in vivo models are scarce. In this work, three soils (namely, Soil 001, Soil 002 and Soil 013) polluted with different concentrations of hydrocarbons and heavy metals were evaluated using different organisms representative of human (HepG2 human cell line) and environmental exposure (the yeast Saccharomyces cerevisiae, the Gram-negative bacterium Pseudomonas putida and, for the in vivo evaluation, the annelid Enchytraeus crypticus). In vitro assays showed that the soluble fraction of the Soil 001, which presented the highest levels of heavy metals, represented a great impact in the viability of the HepG2 cells and S. cerevisiae, while organic extracts from Soils 002 and 013 caused a slight decrease in the viability of HepG2 cells. In addition, in vivo experiments showed that Soils 001 and 013 affected the survival and the reproduction of E. crypticus. Altogether, these results provide a general overview of the potential hazards associated to three specific contaminated sites in a variety of organisms, showing how different concentrations of similar pollutants affect them, and highlights the relevance of testing both organic and soluble extracts when in vitro safety assays of soils are performed.", "keywords": ["Pseudomonas putida", "Enchytraeus crypticus", "Qu\u00edmica anal\u00edtica", "Saccharomyces cerevisiae", "Analytic", "01 natural sciences", "Hydrocarbons", "6. Clean water", "Chemistry", "Soil", "Soil contamination", "13. Climate action", "Metals", " Heavy", "Humans", "Soil Pollutants", "Chemistry", " Analytic", "HepG2 cells Saccharomyces cerevisiae Pseudomonas putida Enchytraeus crypticus Soil contamination", "HepG2 cells", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10259/7490"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10259/7490", "name": "item", "description": "10259/7490", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10259/7490"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-01T00:00:00Z"}}, {"id": "11579/182202", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:25:55Z", "type": "Journal Article", "created": "2024-05-14", "title": "Development of a Robust Read-Across Model for the Prediction of Biological Potency of Novel Peroxisome Proliferator-Activated Receptor Delta Agonists", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>A robust predictive model was developed using 136 novel peroxisome proliferator-activated receptor delta (PPAR\u03b4) agonists, a distinct subtype of lipid-activated transcription factors of the nuclear receptor superfamily that regulate target genes by binding to characteristic sequences of DNA bases. The model employs various structural descriptors and docking calculations and provides predictions of the biological activity of PPAR\u03b4 agonists, following the criteria of the Organization for Economic Co-operation and Development (OECD) for the development and validation of quantitative structure\u2013activity relationship (QSAR) models. Specifically focused on small molecules, the model facilitates the identification of highly potent and selective PPAR\u03b4 agonists and offers a read-across concept by providing the chemical neighbours of the compound under study. The model development process was conducted on Isalos Analytics Software (v. 0.1.17) which provides an intuitive environment for machine-learning applications. The final model was released as a user-friendly web tool and can be accessed through the Enalos Cloud platform\u2019s graphical user interface (GUI).</p></article>", "keywords": ["0301 basic medicine", "570", "610", "Quantitative Structure-Activity Relationship", "molecular docking", "01 natural sciences", "Isalos Analytics Platform", "in silico modelling", "Article", "0104 chemical sciences", "Molecular Docking Simulation", "Machine Learning", "03 medical and health sciences", "machine learning", "PPAR\u03b4 agonist", "Humans", "PPAR delta", "Software"]}, "links": [{"href": "https://www.mdpi.com/1422-0067/25/10/5216/pdf"}, {"href": "https://doi.org/11579/182202"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Molecular%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11579/182202", "name": "item", "description": "11579/182202", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11579/182202"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-10T00:00:00Z"}}, {"id": "20.500.14468/25333", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:26:27Z", "type": "Journal Article", "created": "2019-01-29", "title": "Web of Things Platforms for Distance Learning Scenarios in Computer Science Disciplines: A Practical Approach", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Problem-based learning is a widely used learning methodology in the field of technological disciplines, especially in distance education environments. In these environments, the most used tools, which provide learning scenarios, are remote and virtual laboratories. Internet of Things (IoT) devices can be used as remote or virtual laboratories. In addition to this, they can be organized/orchestrated to build remote maker spaces through the web. These types of spaces are called the Web of Things (WoT). This paper proposes the use of these types of spaces and their integration as practical activities into the curricula of technological subjects. This approach will allow us to achieve two fundamental objectives: (1) To improve the academic results (grades) of students; and (2) to increase engagement and interest of students in the studied technologies, including IoT devices. These platforms are modeled using archetypes based on different typologies and usage scenarios. In particular, these usage scenarios will implement a learning strategy for each problem to be solved. The current work shows the evolution of these archetypes and their application in the teaching of disciplines/subjects defined in computer science, such as distributed computing and cybersecurity.</p></article>", "keywords": ["learning analytics", "Technology", "9. Industry and infrastructure", "T", "4. Education", "cloud computing", "05 social sciences", "computer science education", "0503 education", "Internet of Things (IoT)", "Web of Things (WoT)"]}, "links": [{"href": "http://www.mdpi.com/2227-7080/7/1/17/pdf"}, {"href": "https://doi.org/20.500.14468/25333"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Technologies", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14468/25333", "name": "item", "description": "20.500.14468/25333", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14468/25333"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-27T00:00:00Z"}}, {"id": "2164/17159", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:26:35Z", "type": "Journal Article", "created": "2020-10-07", "title": "Significance of root hairs for plant performance under contrasting field conditions and water deficit", "description": "AbstractBackground and Aims<p>Previous laboratory studies have suggested selection for root hair traits in future crop breeding to improve resource use efficiency and stress tolerance. However, data on the interplay between root hairs and open-field systems, under contrasting soils and climate conditions, are limited. As such, this study aims to experimentally elucidate some of the impacts that root hairs have on plant performance on a field scale.</p>Methods<p>A field experiment was set up in Scotland for two consecutive years, under contrasting climate conditions and different soil textures (i.e. clay loam vs. sandy loam). Five barley (Hordeum vulgare) genotypes exhibiting variation in root hair length and density were used in the study. Root hair length, density and rhizosheath weight were measured at several growth stages, as well as shoot biomass, plant water status, shoot phosphorus (P) accumulation and grain yield.</p>Key Results<p>Measurements of root hair density, length and its correlation with rhizosheath weight highlighted trait robustness in the field under variable environmental conditions, although significant variations were found between soil textures as the growing season progressed. Root hairs did not confer a notable advantage to barley under optimal conditions, but under soil water deficit root hairs enhanced plant water status and stress tolerance resulting in a less negative leaf water potential and lower leaf abscisic acid concentration, while promoting shoot P accumulation. Furthermore, the presence of root hairs did not decrease yield under optimal conditions, while root hairs enhanced yield stability under drought.</p>Conclusions<p>Selecting for beneficial root hair traits can enhance yield stability without diminishing yield potential, overcoming the breeder\uffe2\uff80\uff99s dilemma of trying to simultaneously enhance both productivity and resilience. Therefore, the maintenance or enhancement of root hairs can represent a key trait for breeding the next generation of crops for improved drought tolerance in relation to climate change.</p", "keywords": ["construction", "0301 basic medicine", "EP/M020355/1", "Supplementary Data", "QH301 Biology", "drought tolerance", "/dk/atira/pure/subjectarea/asjc/1100/1110", "610", "Rural and Environmental Science and Analytical Services (RESAS)", "Plant Roots", "630", "root hairs", "QH301", "Soil", "03 medical and health sciences", "646809DIMR", "agricultural sustainability", "SDG 13 - Climate Action", "BB/L025620/1", "rhizosheath", "phosphorus", "NE/L00237/1", "Hordeum vulgare", "580", "2. Zero hunger", "Natural Environment Research Council (NERC)", "grain yield", "rhizoshealth", "barley", "Water", "soil texture", "Hordeum", "15. Life on land", "NA160430", "6. Clean water", "Droughts", "Plant Breeding", "root traits", "Engineering and Physical Sciences Research Council (EPSRC)", "Biotechnology and Biological Sciences Research Council (BBSRC)", "Other", "plant water status", "name=Plant Science", "BB/P004180/1", "BB/L025825/1"]}, "links": [{"href": "https://repository.uwl.ac.uk/id/eprint/7652/1/12050%20Naveed.pdf"}, {"href": "https://eprints.soton.ac.uk/453165/1/marinsignificance2020.pdf"}, {"href": "https://eprints.soton.ac.uk/453165/2/mcaa181.pdf"}, {"href": "https://doi.org/2164/17159"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Annals%20of%20Botany", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/17159", "name": "item", "description": "2164/17159", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/17159"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-10T00:00:00Z"}}, {"id": "2164/19751", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:26:36Z", "type": "Journal Article", "created": "2022-06-11", "title": "Impact of root hairs on microscale soil physical properties in the field", "description": "Abstract                  Aims                 <p>Recent laboratory studies revealed that root hairs may alter soil physical behaviour, influencing soil porosity and water retention on the small scale. However, the results are not consistent, and it is not known if structural changes at the small-scale have impacts at larger scales. Therefore, we evaluated the potential effects of root hairs on soil hydro-mechanical properties in the field using rhizosphere-scale physical measurements.</p>                                Methods                 <p>Changes in soil water retention properties as well as mechanical and hydraulic characteristics were monitored in both silt loam and sandy loam soils. Measurements were taken from plant establishment to harvesting in field trials, comparing three barley genotypes representing distinct phenotypic categories in relation to root hair length. Soil hardness and elasticity were measured using a 3-mm-diameter spherical indenter, while water sorptivity and repellency were measured using a miniaturized infiltrometer with a 0.4-mm tip radius.</p>                                Results                 <p>Over the growing season, plants induced changes in the soil water retention properties, with the plant available water increasing by 21%. Both soil hardness (P\uffe2\uff80\uff89=\uffe2\uff80\uff890.031) and elasticity (P\uffe2\uff80\uff89=\uffe2\uff80\uff890.048) decreased significantly in the presence of root hairs in silt loam soil, by 50% and 36%, respectively. Root hairs also led to significantly smaller water repellency (P\uffe2\uff80\uff89=\uffe2\uff80\uff890.007) in sandy loam soil vegetated with the hairy genotype (-49%) compared to the hairless mutant.</p>                                Conclusions                 <p>Breeding of cash crops for improved soil conditions could be achieved by selecting root phenotypes that ameliorate soil physical properties and therefore contribute to increased soil health.</p>", "keywords": ["/dk/atira/pure/subjectarea/asjc/1100/1111", "0106 biological sciences", "Supplementary Data", "QH301 Biology", "/dk/atira/pure/subjectarea/asjc/1100/1110", "Soil Science", "Rural and Environmental Science and Analytical Services (RESAS)", "Plant Science", "01 natural sciences", "630", "QH301", "BBSRC BB/L025825/1", "Barley", "Soil health", "Soil structure", "Root hairs", "Soil hydromechanical properties", "BB/L025620/1", "580", "2. Zero hunger", "name=Soil Science", "ERCDMR-646809", "04 agricultural and veterinary sciences", "15. Life on land", "Soil water retention", "BBSRC BB/J00868/1", "6. Clean water", "Biotechnology and Biological Sciences Research Council (BBSRC)", "0401 agriculture", " forestry", " and fisheries", "Other", "name=Plant Science", "Research Article"]}, "links": [{"href": "https://eprints.soton.ac.uk/484590/2/s11104_022_05530_1.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1007/s11104-022-05530-1.pdf"}, {"href": "https://doi.org/2164/19751"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/19751", "name": "item", "description": "2164/19751", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/19751"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-11T00:00:00Z"}}, {"id": "2753196607", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:26:48Z", "type": "Journal Article", "created": "2017-09-01", "title": "Portfolio optimization for seed selection in diverse weather scenarios", "description": "The aim of this work was to develop a method for selection of optimal soybean varieties for the American Midwest using data analytics. We extracted the knowledge about 174 varieties from the dataset, which contained information about weather, soil, yield and regional statistical parameters. Next, we predicted the yield of each variety in each of 6,490 observed subregions of the Midwest. Furthermore, yield was predicted for all the possible weather scenarios approximated by 15 historical weather instances contained in the dataset. Using predicted yields and covariance between varieties through different weather scenarios, we performed portfolio optimisation. In this way, for each subregion, we obtained a selection of varieties, that proved superior to others in terms of the amount and stability of yield. According to the rules of Syngenta Crop Challenge, for which this research was conducted, we aggregated the results across all subregions and selected up to five soybean varieties that should be distributed across the network of seed retailers. The work presented in this paper was the winning solution for Syngenta Crop Challenge 2017.", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "Models", " Statistical", "Glycine max", "Science", "Climate Change", "Q", "R", "Uncertainty", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Portfolio optimisation", "Yield prediction", "Midwestern United States", "03 medical and health sciences", "0302 clinical medicine", "Seeds", "Medicine", "Regression Analysis", "0401 agriculture", " forestry", " and fisheries", "data analytics", "Weather", "Research Article"]}, "links": [{"href": "https://doi.org/2753196607"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2753196607", "name": "item", "description": "2753196607", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2753196607"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-01T00:00:00Z"}}, {"id": "2954562561", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:26:56Z", "type": "Report", "title": "Decision-Support System for Optimisation of Crop Configuration based on Artificial Intelligence", "description": "The work is the first official outcome of the collaboration between MSU and BS. Here we analysed the potential of multi-objective evolutionary algorithms in smart seed selection.", "keywords": ["Portfolio Optimisation", "Data analytics", "Evolutionary algorithms", "DSS"], "contacts": [{"organization": "Dejan Pavlovic, Oskar Marko, Vladimir Crnojevic, Kalyanmoy Deb,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/2954562561"}, {"rel": "self", "type": "application/geo+json", "title": "2954562561", "name": "item", "description": "2954562561", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2954562561"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-29T00:00:00Z"}}, {"id": "2992233099", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:26:58Z", "type": "Journal Article", "created": "2019-12-09", "title": "Precise measurement of selenium isotopes by HG-MC-ICPMS using a 76\u201378 double-spike", "description": "<p>A novel <sup>76</sup>Se\u2013<sup>78</sup>Se double spike allows for rapid and precise selenium isotope measurements in geological samples.</p>", "keywords": ["34 Chemical Sciences", "3401 Analytical Chemistry", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "3406 Physical Chemistry", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "540", "7. Clean energy", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/2992233099"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Analytical%20Atomic%20Spectrometry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2992233099", "name": "item", "description": "2992233099", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2992233099"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "3044974791", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:27:08Z", "type": "Journal Article", "created": "2020-07-24", "title": "Smart Multi-Sensor Platform for Analytics and Social Decision Support in Agriculture", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Smart agriculture based on new types of sensors, data analytics and automation, is an important enabler for optimizing yields and maximizing efficiency to feed the world\u2019s growing population while limiting environmental pollution. The aim of this paper is to describe a multi-sensor Internet of Things (IoT) system for agriculture consisting of a soil probe, an air probe and a smart data logger. The implementation details will focus of the integration element and the innovative Artificial Intelligence based gas identification sensor. Furthermore, the paper focuses on the analytics and decision support system implementation that provides farming recommendations and is enhanced with a feedback loop from farmers and a social trust index that will increase the reliability of the system.</p></article>", "keywords": ["330", "decision support system", "[SPI] Engineering Sciences [physics]", "Social IoT", "Internet of Things", "TP1-1185", "01 natural sciences", "7. Clean energy", "630", "data logger", "Article", "gas sensor", "[SPI]Engineering Sciences [physics]", "Soil", "sensor", "Artificial Intelligence", "social feedback", "data analytics", "agriculture", "2. Zero hunger", "Chemical technology", "Reproducibility of Results", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "0104 chemical sciences", "3. Good health", "13. Climate action", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/20/15/4127/pdf"}, {"href": "https://www.mdpi.com/1424-8220/20/15/4127/pdf"}, {"href": "https://doi.org/3044974791"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3044974791", "name": "item", "description": "3044974791", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3044974791"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-24T00:00:00Z"}}, {"id": "3164835394", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:27:18Z", "type": "Journal Article", "created": "2021-05-31", "title": "Imaging-based spectrometer-less optofluidic biosensors based on dielectric metasurfaces for detecting extracellular vesicles", "description": "Abstract<p>Biosensors are indispensable tools for public, global, and personalized healthcare as they provide tests that can be used from early disease detection and treatment monitoring to preventing pandemics. We introduce single-wavelength imaging biosensors capable of reconstructing spectral shift information induced by biomarkers dynamically using an advanced data processing technique based on an optimal linear estimator. Our method achieves superior sensitivity without wavelength scanning or spectroscopy instruments. We engineered diatomic dielectric metasurfaces supporting bound states in the continuum that allows high-quality resonances with accessible near-fields by in-plane symmetry breaking. The large-area metasurface chips are configured as microarrays and integrated with microfluidics on an imaging platform for real-time detection of breast cancer extracellular vesicles encompassing exosomes. The optofluidic system has high sensing performance with nearly 70 1/RIU figure-of-merit enabling detection of on average 0.41 nanoparticle/\uffc2\uffb5m2 and real-time measurements of extracellular vesicles binding from down to 204 femtomolar solutions. Our biosensors provide the robustness of spectrometric approaches while substituting complex instrumentation with a single-wavelength light source and a complementary-metal-oxide-semiconductor camera, paving the way toward miniaturized devices for point-of-care diagnostics.</p", "keywords": ["0301 basic medicine", "Science", "Spectrum Analysis", "Q", "Breast Neoplasms", "Biosensing Techniques", "02 engineering and technology", "Microfluidic Analytical Techniques", "Exosomes", "Article", "3. Good health", "Refractometry", "03 medical and health sciences", "Point-of-Care Testing", "Humans", "Nanoparticles", "Female", "0210 nano-technology"]}, "links": [{"href": "https://www.nature.com/articles/s41467-021-23257-y.pdf"}, {"href": "https://doi.org/3164835394"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3164835394", "name": "item", "description": "3164835394", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3164835394"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-31T00:00:00Z"}}, {"id": "PMC8167130", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:29:47Z", "type": "Journal Article", "created": "2021-05-31", "title": "Imaging-based spectrometer-less optofluidic biosensors based on dielectric metasurfaces for detecting extracellular vesicles", "description": "Abstract<p>Biosensors are indispensable tools for public, global, and personalized healthcare as they provide tests that can be used from early disease detection and treatment monitoring to preventing pandemics. We introduce single-wavelength imaging biosensors capable of reconstructing spectral shift information induced by biomarkers dynamically using an advanced data processing technique based on an optimal linear estimator. Our method achieves superior sensitivity without wavelength scanning or spectroscopy instruments. We engineered diatomic dielectric metasurfaces supporting bound states in the continuum that allows high-quality resonances with accessible near-fields by in-plane symmetry breaking. The large-area metasurface chips are configured as microarrays and integrated with microfluidics on an imaging platform for real-time detection of breast cancer extracellular vesicles encompassing exosomes. The optofluidic system has high sensing performance with nearly 70 1/RIU figure-of-merit enabling detection of on average 0.41 nanoparticle/\uffc2\uffb5m2 and real-time measurements of extracellular vesicles binding from down to 204 femtomolar solutions. Our biosensors provide the robustness of spectrometric approaches while substituting complex instrumentation with a single-wavelength light source and a complementary-metal-oxide-semiconductor camera, paving the way toward miniaturized devices for point-of-care diagnostics.</p", "keywords": ["0301 basic medicine", "Science", "Spectrum Analysis", "Q", "Breast Neoplasms", "Biosensing Techniques", "02 engineering and technology", "Microfluidic Analytical Techniques", "Exosomes", "Article", "3. Good health", "Refractometry", "03 medical and health sciences", "Point-of-Care Testing", "Humans", "Nanoparticles", "Female", "0210 nano-technology"]}, "links": [{"href": "https://www.nature.com/articles/s41467-021-23257-y.pdf"}, {"href": "https://doi.org/PMC8167130"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC8167130", "name": "item", "description": "PMC8167130", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC8167130"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-31T00:00:00Z"}}, {"id": "PMC7436003", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:29:46Z", "type": "Journal Article", "created": "2020-07-24", "title": "Smart Multi-Sensor Platform for Analytics and Social Decision Support in Agriculture", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Smart agriculture based on new types of sensors, data analytics and automation, is an important enabler for optimizing yields and maximizing efficiency to feed the world\u2019s growing population while limiting environmental pollution. The aim of this paper is to describe a multi-sensor Internet of Things (IoT) system for agriculture consisting of a soil probe, an air probe and a smart data logger. The implementation details will focus of the integration element and the innovative Artificial Intelligence based gas identification sensor. Furthermore, the paper focuses on the analytics and decision support system implementation that provides farming recommendations and is enhanced with a feedback loop from farmers and a social trust index that will increase the reliability of the system.</p></article>", "keywords": ["330", "decision support system", "[SPI] Engineering Sciences [physics]", "Social IoT", "Internet of Things", "TP1-1185", "01 natural sciences", "7. Clean energy", "630", "data logger", "Article", "gas sensor", "[SPI]Engineering Sciences [physics]", "Soil", "sensor", "Artificial Intelligence", "social feedback", "data analytics", "agriculture", "2. Zero hunger", "Chemical technology", "Reproducibility of Results", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "0104 chemical sciences", "3. Good health", "13. 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