Repository logo
Log In(current)
  1. Home
  2. Prodotti della ricerca
  3. A. Contributo su rivista
  4. A1. Articolo in rivista
  5. Development of a new predictive index (Bathing water quality index, bwqi) based on escherichia coli physiological states for bathing waters monitoring

Development of a new predictive index (Bathing water quality index, bwqi) based on escherichia coli physiological states for bathing waters monitoring

Author(s)
Bonamano, Simone  
Madonia, Alice
Caruso, Gabriella
Zappalà, Giuseppe
Marcelli, Marco  
Date Issued
2021
Type
article
Volume
9
Issue
2
DOI
10.3390/jmse9020120
Journal
JOURNAL OF MARINE SCIENCE AND ENGINEERING  
Abstract
Bacterial pathogens in coastal aquatic ecosystems pose a potential public health hazard for bathing water use. The European Bathing Water Directive (2006/7/EC) currently relies on the culturability of fecal pollution bacterial indicators such as Escherichia coli, without considering dormant or quiescent (Viable But Not Culturable, VBNC) cells, whose possible resuscitation after bathers ingestion cannot be excluded. Standard methods are also time-consuming and therefore hardly meet early warning needs of marine monitoring. To solve this issue, a new index, the Bathing Water Quality Index (BWQI), has here been developed, allowing to identify the most favorable coastal zones for recreational use. The index was calculated by combining numerical simulations of living and dormant E. coli abundances and their residence times. To specifically set up the model with the different physiological states of the whole E. coli population, an ad hoc experiment based on the fluorescent antibody method was performed. The BWQI application to Santa Marinella bathing area highlights a potential risk for human health in the zone most frequented by bathers. This study provides a predictive tool to support preventive decisions of the competent authorities and to properly protect bathers’ health, stressing the need for improved methods for environmental monitoring.
Handle
http://hdl.handle.net/2067/45934
File(s)
Thumbnail Image
Name

Bonamano_2021_JMSE.pdf

Size

2.83 MB

Format

Adobe PDF

Checksum (MD5)

61e7a4d5ad05fcbee28e46e4215262f9

Metrics

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify