Cargando…

Risk valuation for E. coli contamination in Campania region shellfish from 2016 to 2021

This study set out to assess the microbiological quality of shellfish collected over a six-year period of time in the Campania Region Sea. A total of 1459 samples were examined in order to determine whether Escherichia coli was present. To investigate potential correlations between the E. coli count...

Descripción completa

Detalles Bibliográficos
Autores principales: Pellicanò, Roberta, Brunetti, Roberta, Toscano, Tecla, Smeraldo, Sonia, Baldi, Loredana, Cavallo, Stefania, Capone, Stefano, Colarusso, Germana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658277/
https://www.ncbi.nlm.nih.gov/pubmed/38027549
http://dx.doi.org/10.1016/j.heliyon.2023.e21716
_version_ 1785137384161017856
author Pellicanò, Roberta
Brunetti, Roberta
Toscano, Tecla
Smeraldo, Sonia
Baldi, Loredana
Cavallo, Stefania
Capone, Stefano
Colarusso, Germana
author_facet Pellicanò, Roberta
Brunetti, Roberta
Toscano, Tecla
Smeraldo, Sonia
Baldi, Loredana
Cavallo, Stefania
Capone, Stefano
Colarusso, Germana
author_sort Pellicanò, Roberta
collection PubMed
description This study set out to assess the microbiological quality of shellfish collected over a six-year period of time in the Campania Region Sea. A total of 1459 samples were examined in order to determine whether Escherichia coli was present. To investigate potential correlations between the E. coli counts and environmental parameters (salinity, pH, dissolved oxygen, seawater temperature, turbidity, rainfall) and pollution variables (density and distance of heavy and light discharges), data were gathered. With only roughly 19% of the samples not meeting European and Italian criteria (E. coli counts more than 230 most likely number MPN per 100 g of pulp and intravalvar liquid), the results showed that the microbiological quality of the shellfish was good. A correlation between microbial contamination, season, rainfall, and dissolved oxygen was found using statistical analysis. However, the discharge density along the coast per spatial unit (a 200 × 200 MT cell), which was determined using the "quartic" Kernel function, showed found to be the primary factor determining the E. coli concentration in the shellfish. An increase in rain millimeters was found to be associated with a higher risk of heightened E. coli contamination, according to a model that was fitted to assess the probability of detecting a higher E. coli count in connection to environmental parameters. This outcome could be explained by the discharge density near the coast as well as the increased availability of coliforms, particularly E. coli, and nutrients during periods of heavier rainfall.
format Online
Article
Text
id pubmed-10658277
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-106582772023-11-02 Risk valuation for E. coli contamination in Campania region shellfish from 2016 to 2021 Pellicanò, Roberta Brunetti, Roberta Toscano, Tecla Smeraldo, Sonia Baldi, Loredana Cavallo, Stefania Capone, Stefano Colarusso, Germana Heliyon Research Article This study set out to assess the microbiological quality of shellfish collected over a six-year period of time in the Campania Region Sea. A total of 1459 samples were examined in order to determine whether Escherichia coli was present. To investigate potential correlations between the E. coli counts and environmental parameters (salinity, pH, dissolved oxygen, seawater temperature, turbidity, rainfall) and pollution variables (density and distance of heavy and light discharges), data were gathered. With only roughly 19% of the samples not meeting European and Italian criteria (E. coli counts more than 230 most likely number MPN per 100 g of pulp and intravalvar liquid), the results showed that the microbiological quality of the shellfish was good. A correlation between microbial contamination, season, rainfall, and dissolved oxygen was found using statistical analysis. However, the discharge density along the coast per spatial unit (a 200 × 200 MT cell), which was determined using the "quartic" Kernel function, showed found to be the primary factor determining the E. coli concentration in the shellfish. An increase in rain millimeters was found to be associated with a higher risk of heightened E. coli contamination, according to a model that was fitted to assess the probability of detecting a higher E. coli count in connection to environmental parameters. This outcome could be explained by the discharge density near the coast as well as the increased availability of coliforms, particularly E. coli, and nutrients during periods of heavier rainfall. Elsevier 2023-11-02 /pmc/articles/PMC10658277/ /pubmed/38027549 http://dx.doi.org/10.1016/j.heliyon.2023.e21716 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Pellicanò, Roberta
Brunetti, Roberta
Toscano, Tecla
Smeraldo, Sonia
Baldi, Loredana
Cavallo, Stefania
Capone, Stefano
Colarusso, Germana
Risk valuation for E. coli contamination in Campania region shellfish from 2016 to 2021
title Risk valuation for E. coli contamination in Campania region shellfish from 2016 to 2021
title_full Risk valuation for E. coli contamination in Campania region shellfish from 2016 to 2021
title_fullStr Risk valuation for E. coli contamination in Campania region shellfish from 2016 to 2021
title_full_unstemmed Risk valuation for E. coli contamination in Campania region shellfish from 2016 to 2021
title_short Risk valuation for E. coli contamination in Campania region shellfish from 2016 to 2021
title_sort risk valuation for e. coli contamination in campania region shellfish from 2016 to 2021
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658277/
https://www.ncbi.nlm.nih.gov/pubmed/38027549
http://dx.doi.org/10.1016/j.heliyon.2023.e21716
work_keys_str_mv AT pellicanoroberta riskvaluationforecolicontaminationincampaniaregionshellfishfrom2016to2021
AT brunettiroberta riskvaluationforecolicontaminationincampaniaregionshellfishfrom2016to2021
AT toscanotecla riskvaluationforecolicontaminationincampaniaregionshellfishfrom2016to2021
AT smeraldosonia riskvaluationforecolicontaminationincampaniaregionshellfishfrom2016to2021
AT baldiloredana riskvaluationforecolicontaminationincampaniaregionshellfishfrom2016to2021
AT cavallostefania riskvaluationforecolicontaminationincampaniaregionshellfishfrom2016to2021
AT caponestefano riskvaluationforecolicontaminationincampaniaregionshellfishfrom2016to2021
AT colarussogermana riskvaluationforecolicontaminationincampaniaregionshellfishfrom2016to2021