{"type": "FeatureCollection", "features": [{"id": "10.1016/j.jenvman.2018.01.064", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:27Z", "type": "Journal Article", "created": "2018-02-05", "title": "Elemental sulfur-based autotrophic denitrification and denitritation: microbially catalyzed sulfur hydrolysis and nitrogen conversions", "description": "The hydrolysis of elemental sulfur (S0) coupled to S0-based denitrification and denitritation was investigated in batch bioassays by microbiological and modeling approaches. In the denitrification experiments, the highest obtained NO3--N removal rate was 20.9\u202fmg/l\u00b7d. In the experiments with the biomass enriched on NO2-, a NO2--N removal rate of 10.7\u202fmg/l\u00b7d was achieved even at a NO2--N concentration as high as 240\u202fmg/l. The Helicobacteraceae family was only observed in the biofilm attached onto the chemically-synthesized S0 particles with a relative abundance up to 37.1%, suggesting it was the hydrolytic biomass capable of S0 solubilization in the novel surface-based model. S0-driven denitrification was modeled as a two-step process in order to explicitly account for the sequential reduction of NO3- to NO2- and then to N2 by denitrifying bacteria.", "keywords": ["Surface-based hydrolysis", "Autotrophic Processes", "Autotrophic denitrification; Autotrophic denitritation; Community structure; Elemental sulfur; Mathematical modeling; Surface-based hydrolysis", "Elemental sulfur", "Nitrates", "Nitrogen", "Hydrolysis", "0211 other engineering and technologies", "02 engineering and technology", "Autotrophic denitrification", "01 natural sciences", "6. 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Life underwater", "Sulfur", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.iris.unina.it/bitstream/11588/698214/5/anastasiia%20JEMA.pdf"}, {"href": "https://doi.org/10.1016/j.jenvman.2018.01.064"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2018.01.064", "name": "item", "description": "10.1016/j.jenvman.2018.01.064", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2018.01.064"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-01T00:00:00Z"}}, {"id": "10.2166/wst.2018.398", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:24Z", "type": "Journal Article", "created": "2018-10-04", "title": "Sensitivity analysis for an elemental sulfur-based two-step denitrification model", "description": "Abstract                <p>A local sensitivity analysis was performed for a chemically synthesized elemental sulfur (S0)-based two-step denitrification model, accounting for nitrite (NO2\uffe2\uff88\uff92) accumulation, biomass growth and S0 hydrolysis. The sensitivity analysis was aimed at verifying the model stability, understanding the model structure and individuating the model parameters to be further optimized. The mass specific area of the sulfur particles (a*) and hydrolysis kinetic constant (k1) were identified as the dominant parameters on the model outputs, i.e. nitrate (NO3\uffe2\uff88\uff92), NO2\uffe2\uff88\uff92 and sulfate (SO42\uffe2\uff88\uff92) concentrations, confirming that the microbially catalyzed S0 hydrolysis is the rate-limiting step during S0-driven denitrification. Additionally, the maximum growth rates of the denitrifying biomass on NO3\uffe2\uff88\uff92 and NO2\uffe2\uff88\uff92 were detected as the most sensitive kinetic parameters.</p>", "keywords": ["Elemental sulfur", "Environmental Engineering", "0207 environmental engineering", "Biological surface-based hydrolysis; Elemental sulfur; Mathematical modeling; Sensitivity analysis; Two-step autotrophic denitrification; Environmental Engineering; Water Science and Technology", "02 engineering and technology", "01 natural sciences", "Two-step autotrophic denitrification", "Bioreactors", "European Joint Doctorates", "European Commission", "Knowmad Institut", "Biological surface-based hydrolysis", "Nitrites", "Netherlands", "Water Science and Technology", "0105 earth and related environmental sciences", "Aurora Universities Network", "EC", "Nitrates", "H2020", "Energy Research", "13. 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