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RISK FACTORS ANALYSIS FOR CADMIUM CONTAMINATION IN MYTILUS GALLOPROVINCIALIS HARVESTING AREAS OF MARCHE REGION (ITALY) FOR THE PURPOSES OF CHEMICAL SANITARY SURVEY

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« Risk factors analysis for cadmium contamination in Mytilus galloprovincialis harvesting areas of Marche Region (Italy) for the purposes of chemical sanitary survey. Epifanio et al. « is licensed under a Creative Commons Attribution 4.0 International License

Stampato a cura dell' Unità Operativa di Supporto Biblioteca, Informazione, Editoria (2019). Quest'opera è stata rilasciata sotto la licenza Creative Commons Attribuzione-Non commerciale-Non opere derivate 2.5 Italia. Per leggere una copia della licenza visita il sito web http://creativecommons.org/licenses/by-nc-nd/2.5/it/ o spedisci una lettera a Creative Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA.

E.M. Epifanio1, F. Agnetti1, F. Barchiesi2, M. Latini1

¹Istututo Zooprofilattico Sperimentale dell’Umbria e delle Marche, Terni, Italy.

2Istututo Zooprofilattico Sperimentale dell’Umbria e delle Marche, Ancona, Italy.

INTRODUCTION

Mussels are natural accumulators of Cadmium (Cd) from the environment. This happens because metals are accumulated by these filter feeding organisms through water, ingestion of suspended sediments or food. Commission Regulation (EC) 1881/2006 sets maximum levels of Cd in edible bivalve mollusc (wet weight) at < 1,0 mg/kg. According to Regulation (EC) 854/2004, bivalve molluscs can be harvested and commercialized only from classified areas. The classification is based on Escherichia coli contamination of bivalve molluscs. The classification can be correctly established only through a complete and preliminary sanitary survey. The sanitary survey is a procedure that studies the sources of fecal pollution and the environment characteristics of an area used for the bivalve mollusc production. To ensure public health shellfish harvesting areas have to be periodically sampled and monitored. Frequency of sampling and geographical distribution of sampling point are chosen by Competent Authority but, unlike during fecal bacteria monitoring, the plan of a sanitary survey is not a legally requirement for chemical contaminants.

MATERIALS AND METHODS

It was discovered the most representative areas to control the Cd contamination in mussels and created a model that can help to build a better monitoring program following

specific risk that is the base for any type of survey. Six main risk factors for Cd contamination

in the environment were studied:

1) type of industrial activity (table 1); 2) ports,

3) agriculture land (figure 1), 4) rainfall,

5) rivers,

6) sea sediments

These factors were compared with the historical Cd

contamination in mussels in a ten years period (2009-2018)

RESULTS AND DISCUSSION Five out of six factors:

1) type of industrial activity, 2) ports,

3) agriculture land, 4) rainfall,

5) rivers

were confirmed as risk factors for Cd contamination in mussels (table 2).

The greater the presence of risk factors the greater the quantity of Cd found in mussels (graphic 1).

The health surveillance also for Cd pollution can therefore be used in order to optimize time and locations of sampling for monitoring.

AIM

This study apply the concept of sanitary survey on cadmium control on Mytilus galloprovincialis harvesting areas.

RISK FACTORS ANALYSIS FOR CADMIUM CONTAMINATION IN MYTILUS GALLOPROVINCIALIS

HARVESTING AREAS OF MARCHE REGION (ITALY) FOR THE PURPOSES OF CHEMICAL

SANITARY SURVEY

.

CONCLUSIONS

Sanitary survey for control of Cd

in mussels, it works

Descriptive analysis can be used

for sanitary survey

Risk factors must be considered

togheter

Risk factors affecting the spread

of Cd in the seaside are more important

Different approach is needed if

contamination is close to the legal limit

Graphic 1: Cd Mussels contamination in comparison with the presence (red columns) or the absence (blu columns) of risk factors. Yellow line shows the difference of the column

.

REFERENCES

References are available from the Authors

Table 1. ATECO CODEX and industrial activity associated

Figure 1. Map of agriculture land in Marche Region

Ateco codex

Economic activity

5 Coal mining

6 Gas oil extraction 7 Metals mining

8 Other kind of mining

19 Manufacture of products arising from petroleum refining and coking plant

20.01.00 Manufacture of basic chemicals, of fertilizers and nitrogen compounds, plastics and synthetic rubber in primary forms 20.02.00 Manufacture of pesticides and other chemicals for agriculture 20.03.00 Manufacture of paints and enamels, printing ink and mastics 20.05.00 Manufacture of chemicals

20.06.00 Manufacture of synthetic and artificial fibers

21 Manufacture of basic pharmaceutical products and pharmaceutical preparations

22 Manufacture of rubber and plastic products 23.02.00 Manufacture of refractory products

23.03.00 Manufacture and construction in clay

23.04.00 Manufacture of products in porcelain and ceramic 23.05.00 Production of cement, lime and plaster

23.06.00 Manufacture of concrete, cement and plaster

23.09.00 Manufacture of abrasive products and products in non-metallic mineral

24 Steel industry

25.05.00 Forging, pressing, stamping and forming of metal

25.06.00 Treatment and coating of metals; general mechanical engineering 26.01.00 Electronic components manufacturing

27.02.00 Manufacture of electric batteries

Average Port River Sediments Rainfall Industrial activity Agriculture activity Total risk score

MISSISSIPI 0,28 1 1 1 0 1 0 4 VALLUGOLA 0,21 1 1 1 0 1 0 4 ALTOMARE 1 0,14 0 0 1 0 1 0 2 CASTELLUCCIA 0,15 0 0 1 0 1 0 2 SOTTOLACROCE 0,19 1 1 0 0 1 0 3 MARCOOP 0,15 0 0 1 0 1 0 2 ALTOMARE 2 0,17 0 0 1 0 1 0 2 ALTOMARE 3 0,18 0 0 1 0 1 0 2 SENAGALLICA 0,26 1 1 1 1 1 1 6 PEGASOMARE 0,16 0 0 1 1 1 1 4 MARICOLTURADORICA 0,17 0 0 1 1 0 0 2 COZZEMAREPULITO 0,15 1 0 1 0 0 0 2 NICOLINI 0,14 0 0 1 0 1 0 2 CO.PA.C. 0,14 0 0 1 0 1 0 2 CICLONE 0,16 0 1 1 0 0 0 2 CIVITACOZZA 0,15 0 0 1 0 0 0 1 MITILSERVICE 0,18 0 0 1 0 1 0 2 ALTAMAREA 0,16 0 0 1 0 0 1 2 MP2 0,15 0 0 1 0 0 0 1 MP1 0,15 0 1 1 0 0 0 2

Table 2: Distribution of the risk factors in the mussels production areas.

CD ppm

Industry Ports Agriculture Sediments Rivers Rainfall

0 0,05 0,1 0,15 0,2 0,25 0 0,01 0,02 0,03 0,04 0,05 0,06

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