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Development of a New Predictive index (Bathing Water Quality Index, BWQI) Based on Escherichia coli Physiological States for Bathing Waters Monitoring

Journal of Marine Science and Engineering 2021 5 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Gabriella Caruso, Gabriella Caruso, Gabriella Caruso, Gabriella Caruso, Gabriella Caruso, Gabriella Caruso, Marco Marcelli Gabriella Caruso, Gabriella Caruso, Gabriella Caruso, Simone Bonamano, Gabriella Caruso, Alice Madonia, Gabriella Caruso, Gabriella Caruso, Gabriella Caruso, Simone Bonamano, Alice Madonia, Gabriella Caruso, Simone Bonamano, Gabriella Caruso, Giuseppe Zappalà, Marco Marcelli Gabriella Caruso, Simone Bonamano, Simone Bonamano, Simone Bonamano, Marco Marcelli Giuseppe Zappalà, Marco Marcelli Marco Marcelli Simone Bonamano, Marco Marcelli Marco Marcelli Marco Marcelli

Summary

Researchers developed a new Bathing Water Quality Index (BWQI) based on Escherichia coli physiological states rather than culturability alone, aiming to improve monitoring of fecal pollution in coastal bathing waters beyond what the current European Bathing Water Directive requires.

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.

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