9c3a1ae5-65d7-45c6-b6f3-1a955b17abff English ISO/IEC 8859-1 (also known as Latin 1) nonGeographicDataset nonGeographicDataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:20:54 UK GEMINI 2.3 Survival and persistence of Salmonella spp. on waste plastic and glass under laboratory conditions simulant of a peri-urban waste pile 2025-02-12 publication https://catalogue.ceh.ac.uk/id/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff 10.5285/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff doi: Ormsby, M.J., White, H.L., Metcalf, R., Oliver, D.M., Feasey, N.A., Quilliam, R.S. (2025). Survival and persistence of Salmonella spp. on waste plastic and glass under laboratory conditions simulant of a peri-urban waste pile. NERC EDS Environmental Information Data Centre 10.5285/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff This dataset contains information relating to the survival and persistence of Salmonella spp. on plastic and glass, under conditions simulant of a peri-urban waste pile. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), bacterial concentration (CFU/ml), survival percentages, and regression parameters. Data were sampled over a 28-day period using culture-based approaches; and the ability of isolates to cause disease following their recovery was determined through the use of a Galleria mellonella model. This work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1]. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff Ormsby, M.J. University of Stirling Michael.ormby1@stir.ac.uk https://orcid.org/0000-0002-3991-2336 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author White, H.L. University of Stirling Hannah.white@stir.ac.uk author Metcalf, R. University of Stirling Rebecca.Metcalf@stir.ac.uk author Oliver, D.M. University of Stirling David.oliver@stir.ac.uk https://orcid.org/0000-0002-6200-562X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Feasey, N.A. University of St Andrews naf6@st-andrews.ac.uk https://orcid.org/0000-0003-4041-1405 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Quilliam, R.S. University of Stirling Richard.quilliam@stir.ac.uk https://orcid.org/0000-0001-7020-4410 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian Ormsby, M.J. University of Stirling Michael.ormby1@stir.ac.uk https://orcid.org/0000-0002-3991-2336 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact University of Stirling EMAIL NOT PROVIDED owner Human Health and Safety theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication plastic waste waste management public health GEMET - Concepts, version 4.1.3 2019-01-28 creation Environmental risk environmental pollution Biofilm otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Ormsby, M.J., White, H.L., Metcalf, R., Oliver, D.M., Feasey, N.A., Quilliam, R.S. (2025). Survival and persistence of Salmonella spp. on waste plastic and glass under laboratory conditions simulant of a peri-urban waste pile. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff English utf8 environment 2023-06-01 2023-12-31 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff.zip Supporting information Supporting information available to assist in re-use of this dataset information nonGeographicDataset nonGeographicDataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Biofilm formation, persistence, pathogenicity, and die-off rates of Salmonella were investigated through controlled laboratory experiments. Biofilms were generated on various materials in nutrient-rich and surface water environments, quantified using crystal violet staining, and analysed in triplicate. Persistence was assessed by recovering Salmonella from biofilms over 28 days, followed by serial dilution, selective plating, and confirmatory PCR targeting the ttr gene. Pathogenicity was evaluated using Galleria mellonella larvae, with standardised inoculation protocols and survival monitoring for 72 hours. Die-off rates were determined by log10 transformation of CFU counts and modelled using linear regression, with statistical analyses (ANOVA, Tukey post-hoc tests) to evaluate treatment effects. Data underwent thorough validation at each stage, including replication, selective media confirmation, and regression modelling, ensuring high reliability and accuracy before submission.