{"type": "FeatureCollection", "features": [{"id": "10.1016/j.cofs.2020.11.012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:41Z", "type": "Journal Article", "created": "2020-12-09", "title": "Environmental microbiome mapping as a strategy to improve quality and safety in the food industry", "description": "In food industries, an environmentally-adapted microbiome can colonize the surfaces of equipment and tools and be transferred to the food product or intermediates of production. These complex microbial consortia may include microbial spoilers, pathogens, as well as beneficial microbes.  Advances in sequencing technologies and metagenomics provide the opportunity to map the environmental microbiome in food industries at an unprecedented depth, highlighting the importance of the resident microbial communities in influencing food quality and safety, as well as the main factors shaping its composition and activities. However, specific technical issues must be considered. Although microbiome mapping in the food industry has the potential to revolutionize food safety and quality management systems, its application as routine practice is still challenging and technical issues limit the exploitation of the powerful information that can be obtained by the application of such state-of-the-art approaches.", "keywords": ["Aurora Universities Network", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "EC", "food industry", "H2020", "food quality", "Applied Microbiology and Biotechnology", "Horizon 2020 Framework Programme", "Innovation action", "food safety", "03 medical and health sciences", "contamination", "13. 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Analyzing reference Faecalibacterium genomes and almost 3,000 Faecalibacterium-like metagenome-assembled genomes (MAGs) reconstructed from 7,907 human and 203 non-human primate gut metagenomes, we identified the presence of 22 different Faecalibacterium-like species-level genome bins (SGBs), some further divided in different strains according to the subject geographical origin. Twelve SGBs are globally spread in the human gut and show different genomic potential in the utilization of complex polysaccharides, suggesting that higher SGB diversity may be related with increased utilization of plant-based foods. Moreover, up to 11 different species may co-occur in the same subject, with lower diversity in Western populations, as well as intestinal inflammatory states and obesity. The newly explored Faecalibacterium diversity will be able to support the choice of strains suitable as NGPs, guided by the consideration of the differences existing in their functional potential.", "keywords": ["Adult", "0301 basic medicine", "pangenome", "Adolescent", "gut microbiome", "Datasets as Topic", "General Biochemistry", " Genetics and Molecular Biology", "Innovation action", "Feces", "03 medical and health sciences", "Animals", "Humans", "biotherapeutics", "European Commission", "Child", "Life Style", "Faecalibacterium", "Aged", "Aurora Universities Network", "Horizon 2020", "0303 health sciences", "EC", "Geography", "Faecalibacterium prausnitzii", "H2020", "Age Factors", "Infant", "Middle Aged", "Gastrointestinal Microbiome", "Faecalibacterium prausnitzii", " gut microbiome", " strain diversity", " pangenome", " novel probiotics", " biotherapeutics", "Child", " Preschool", "novel probiotics", "Dysbiosis", "Macaca", "Metagenome", "strain diversity", "Metagenomics", "General Agricultural and Biological Sciences"]}, "links": [{"href": "https://www.iris.unina.it/bitstream/11588/819607/1/PIIS0960982220314330.pdf"}, {"href": "https://doi.org/10.1016/j.cub.2020.09.063"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Current%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.cub.2020.09.063", "name": "item", "description": "10.1016/j.cub.2020.09.063", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.cub.2020.09.063"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-01T00:00:00Z"}}, {"id": "10.1039/c9ew00220k", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:46Z", "type": "Journal Article", "created": "2019-04-29", "title": "Long-term performance evaluation of an anoxic sulfur oxidizing moving bed biofilm reactor under nitrate limited conditions", "description": "<p>An anoxic sulfur-oxidizing moving bed biofilm reactor (MBBR) treating sulfur and nitrate-contaminated synthetic wastewater was monitored for 306 days under feed nitrogen-to-sulfur (N/S) molar ratios of 0.5, 0.3 and 0.1.</p>", "keywords": ["Aurora Universities Network", "570", "Horizon 2020", "EC", "Environmental Engineering", "218 Environmental engineering", "116 Chemical sciences", "H2020", "116", "6. 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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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