scholarly journals An Overview of Antibiotics as Emerging Contaminants: Occurrence in Bivalves as Biomonitoring Organisms

Animals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 3239
Author(s):  
Elena Baralla ◽  
Maria P. Demontis ◽  
Filomena Dessì ◽  
Maria V. Varoni

Antibiotics are used for therapeutic and prophylactic purposes in both human and veterinary medicine and as growth promoting agents in farms and aquaculture. They can accumulate in environmental matrices and in the food chain, causing adverse effects in humans and animals including the development of antibiotic resistance. This review aims to update and discuss the available data on antibiotic residues, using bivalves as biomonitoring organisms. The current research indicates that antibiotics’ presence in bivalves has been investigated along European, American and Asian coasts, with the majority of studies reported for the last. Several classes of antibiotics have been detected, with a higher frequency of detection reported for macrolides, sulfonamides and quinolones. The highest concentration was instead reported for tetracyclines in bivalves collected in the North Adriatic Sea. Only oxytetracycline levels detected in this latter site exceeded the maximum residual limit established by the competent authorities. Moreover, the risk that can be derived from bivalve consumption, calculated considering the highest concentrations of antibiotics residues reported in the analyzed studies, is actually negligible. Nevertheless, further supervisions are needed in order to preserve the environment from antibiotic pollution, prevent the development of antimicrobial resistance and reduce the health risk derived from seafood consumption.

2019 ◽  
Vol 146 ◽  
pp. 24-34 ◽  
Author(s):  
Tristan Cordier ◽  
Fabrizio Frontalini ◽  
Kristina Cermakova ◽  
Laure Apothéloz-Perret-Gentil ◽  
Mauro Treglia ◽  
...  

2012 ◽  
Vol 159 (7) ◽  
pp. 1593-1609 ◽  
Author(s):  
C. G. Di Camillo ◽  
F. Betti ◽  
M. Bo ◽  
M. Martinelli ◽  
S. Puce ◽  
...  

2010 ◽  
Vol 157 (6) ◽  
pp. 1203-1213 ◽  
Author(s):  
Stefano Sponza ◽  
Barbara Cimador ◽  
Mauro Cosolo ◽  
Enrico A. Ferrero

2020 ◽  
Author(s):  
Marco Bracaglia ◽  
Rosalia Santoleri ◽  
Gianluca Volpe ◽  
Simone Colella ◽  
Federica Braga ◽  
...  

<p>Inherent optical properties (IOPs) and concentrations of the sea water components are key quantities in supporting the monitoring of the water quality and the study of the ecosystem functioning. In coastal waters, those quantities have a large spatial and temporal variability, due to river discharges and meteo-marine conditions, such as wind, wave and current, and their interaction with shallow water bathymetry. This short term variability can be adequately captured only using Geostationary Ocean Colour (OC) satellites, absent over the European seas.</p><p>In this study, to compensate the lack of an OC geostationary sensor over the North Adriatic Sea (NAS), the Virtual Geostationary Ocean Colour Sensor (VGOCS) dataset has been used. VGOCS contains data from several OC polar satellites, making available multiple images a day of the NAS, approaching the temporal resolution of a geostationary sensor.</p><p>Generally, data from different satellite sensors are characterized by different uncertainty sources and consequently, looking at two satellite images, it is not easy to ascertain how much of the observed differences are due to real processes. In the VGOCS dataset, the inter-sensor differences are reduced, as the satellite data were adjusted with a multi-linear regression algorithm based on in situ reflectance acquired in the gulf of Venice. Consequently, the use of the adjusted spectra as input in the retrieval of the IOPs and the concentrations allows performing a reliable analysis of the short-time bio-optical variability of the basin.</p><p>In this work, we demonstrate the suitability of VGOCS to better characterise the river-sea interaction and to understand the influence of the river forcing on the short time variability of IOPs and concentrations in the coastal areas. This variability will be analysed for different case studies characterised by a different regime of river discharges, using meteorological, hydrological, and oceanographic fields as ancillary variables. This new approach and the availability of this new set of data represent an opportunity for interdisciplinary studies, in support to and interacting also with modelling implementations in river-sea areas.</p>


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