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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285463
Dataset. 2020

OCCURRENCE DATA ON NICKEL IN FOOD

  • EFSA CONTAM Panel
  • Schrenk, Dieter
  • Bignami, Margherita
  • Bodin, Laurent
  • Chipman, James Kevin
  • Del Mazo, Jesús
  • Grasl-Kraupp, Bettina
  • Hogstrand, Christer
  • Hoogenboom, Laurentius (Ron)
  • Leblanc, Jean-Charles
  • Nebbia, Carlo Stefano
  • Ntzani, Evangelia
  • Petersen, Annette
  • Sand, Salomon
  • Schwerdtle, Tanja
  • Vleminckx, Christiane
  • Wallace, Heather
  • Guérin, Thierry
  • Massanyi, Peter
  • van Loveren, Henk
  • Baert, Katleen
  • Gergelova, Petra
  • Nielsen, Elsa
Contains the raw (no data cleaning applied to it) occurrence dataset on nickel as extracted from EFSA DWH on 7 February 2020 in food samples presented in the opinion as described in its section 3.2.1. The data is provided in csv format. This dataset is compliant with EFSA SSD model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: action) to address the issue (e.g. delete record or update values in specific fields)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285463
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285463
HANDLE: http://hdl.handle.net/10261/285463
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285463
PMID: http://hdl.handle.net/10261/285463
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285463
Ver en: http://hdl.handle.net/10261/285463
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285463

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285464
Dataset. 2020

ANNEXES TO THE UPDATE OF THE RISK ASSESSMENT OF NICKEL IN FOOD AND DRINKING WATER

  • EFSA CONTAM Panel
  • Schrenk, Dieter
  • Bignami, Margherita
  • Bodin, Laurent
  • Chipman, James Kevin
  • Del Mazo, Jesús
  • Grasl-Kraupp, Bettina
  • Hogstrand, Christer
  • Hoogenboom, Laurentius (Ron)
  • Leblanc, Jean-Charles
  • Nebbia, Carlo Stefano
  • Ntzani, Evangelia
  • Petersen, Annette
  • Sand, Salomon
  • Schwerdtle, Tanja
  • Vleminckx, Christiane
  • Wallace, Heather
  • Guérin, Thierry
  • Massanyi, Peter
  • van Loveren, Henk
  • Baert, Katleen
  • Gergelova, Petra
  • Nielsen, Elsa
Annex A – Benchmark dose analysis The Annex is provided as a separate pdf file containing the detailed results of the benchmark dose analyses from which no reference point was selected. Annex B – Dietary surveys per country and age group available in the EFSA Comprehensive Database, considered in the exposure assessment The Annex is provided as a separate Excel file containing the dietary surveys per country and age group. Annex C – Occurrence data on nickel in food and drinking water The Annex is provided as a separate Excel file containing summary statistics on occurrence data on nickel. Annex D – Chronic and acute dietary exposure to nickel and the contribution of different food groups to the dietary exposure The Annex is provided as a separate Excel file containing the chronic and acute dietary exposure to nickel per survey and the contribution of different food groups to the dietary exposure., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285464
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285464
HANDLE: http://hdl.handle.net/10261/285464
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285464
PMID: http://hdl.handle.net/10261/285464
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285464
Ver en: http://hdl.handle.net/10261/285464
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285464

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285465
Dataset. 2020

RISK ASSESSMENT OF OCHRATOXIN A IN FOOD - SUMMARY STATISTICS ON OCCURRENCE AND CONSUMPTION DATA AND EXPOSURE ASSESSMENT RESULTS - FINAL OCCURRENCE DATA

  • EFSA CONTAM Panel
  • Schrenk, Dieter
  • Bodin, Laurent
  • Chipman, James Kevin
  • Del Mazo, Jesús
  • Grasl-Kraupp, Bettina
  • Hogstrand, Christer
  • Hoogenboom, Laurentius (Ron)
  • Leblanc, Jean-Charles
  • Nebbia, Carlo Stefano
  • Nielsen, Elsa
  • Ntzani, Evangelia
  • Petersen, Annette
  • Sand, Salomon
  • Schwerdtle, Tanja
  • Vleminckx, Christiane
  • Wallace, Heather
  • Alexander, Jan
  • Dall'Asta, Chiara
  • Mally, Angela
  • Metzler, Manfred
  • Binaglia, Marco
  • Horvath, Zsuzsanna
  • Steinkellner, Hans
  • Bignami, Margherita
Annex: Summary statistics on occurrence and consumption data and exposure assessment results Table 1 Number of analytical results excluded from the initial dataset during data cleaning, and justification for exclusion Table 2 Occurrence values of OTA (µg/kg) in food as reported in the cleaned database Table 3 Occurrence values of OTA (µg/kg) in food as used for the exposure assessment Table 4 Dietary surveys per country and age group available in the EFSA Comprehensive Database, considered in the exposure assessment Table 5 Results of chronic dietary exposure assessment on OTA (ng/kg bw per day) Table 6 Main contributing food categories to the mean LB exposure assessments to OTA across European dietary surveys and population groups Table 7 Distribution of LOQ values among the different food categories Table 8 All contributing food categories to the mean LB and UB exposure to OTA across European dietary surveys and population groups FormattedDATA_OchratoxinA.zip: Occurrence data on OTA Contains the occurrence data of OTA on 73,891 food samples presented in the opinion as described in its section 4.7 Occurrence data., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285465
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285465
HANDLE: http://hdl.handle.net/10261/285465
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285465
PMID: http://hdl.handle.net/10261/285465
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285465
Ver en: http://hdl.handle.net/10261/285465
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285465

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466
Dataset. 2020

OCCURRENCE DATA OF NITRATE AND NITRITE IN FEED

  • EFSA CONTAM Panel
  • Bignami, Margherita
  • Bodin, Laurent
  • Chipman, James Kevin
  • Del Mazo, Jesús
  • Grasl-Kraupp, Bettina
  • Hoogenboom, Laurentius (Ron)
  • Leblanc, Jean-Charles
  • Nebbia, Carlo Stefano
  • Nielsen, Elsa
  • Ntzani, Evangelia
  • Petersen, Annette
  • Sand, Salomon
  • Schwerdtle, Tanja
  • Vleminckx, Christiane
  • Wallace, Heather
  • Bampidis, Vasileios
  • Cottrill, Bruce
  • Frutos, María José
  • Fürst, Peter
  • Parker, Anthony
  • Binaglia, Marco
  • Christodoulidou, Anna
  • Gergelova, Petra
  • Muñoz Guajardo, Irene
  • Hogstrand, Christer
  • Wenger, Carina
Annex_III_occurrence data.xlsx This Annex is an excel file presenting tables on occurrence data on nitrate and nitrite in feed. Nitrate Nitrite_OCC_ZENODO.CSV Contains the raw (no data cleaning applied to it) occurrence dataset on nitrate and nitrite as extracted from EFSA DWH on 03 December 2019 in feed samples presented in the opinion as described in its section 3.2.2. The data is provided in csv format. This dataset is compliant with EFSA SSD model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: action) to address the issue (e.g. delete record or update values in specific fields)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285466
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466
HANDLE: http://hdl.handle.net/10261/285466
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466
PMID: http://hdl.handle.net/10261/285466
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466
Ver en: http://hdl.handle.net/10261/285466
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285469
Dataset. 2020

ANNEXES TO THE RISK ASSESSMENT OF AFLATOXINS IN FOOD

  • EFSA CONTAM Panel
  • Schrenk, Dieter
  • Bignami, Margherita
  • Bodin, Laurent
  • Chipman, James Kevin
  • Del Mazo, Jesús
  • Grasl-Kraupp, Bettina
  • Hogstrand, Christer
  • Hoogenboom, Laurentius (Ron)
  • Leblanc, Jean-Charles
  • Nebbia, Carlo Stefano
  • Nielsen, Elsa
  • Ntzani, Evangelia
  • Petersen, Annette
  • Sand, Salomon
  • Schwerdtle, Tanja
  • Vleminckx, Christiane
  • Marko, Doris
  • Oswald, Isabelle P.
  • Piersma, Aldert
  • Routledge, Michael
  • Schlatter, Josef
  • Baert, Katleen
  • Gergelova, Petra
  • Wallace, Heather
The annexes A to E to the Scientific Opinion on Aflatoxins in Food included in the upload are excel files as follows: Annex A: Dietary surveys per country and age group available in the EFSA Comprehensive Database, considered in the exposure assessment Annex B: Occurrence data on aflatoxins Annex C: Proportion of left-censored data and the mean concentrations of the quantified analytical results of AFB1 for pistachios, hazelnuts, peanuts, other nuts and dried figs Annex D: AFB1 and AFM1 concentrations reported for organic farming and conventional farming in selected food categories Annex E: Mean and high chronic dietary exposure to aflatoxins per survey and the contribution of different food groups to the dietary exposure, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285469
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285469
HANDLE: http://hdl.handle.net/10261/285469
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285469
PMID: http://hdl.handle.net/10261/285469
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285469
Ver en: http://hdl.handle.net/10261/285469
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285469

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285475
Dataset. 2020

OCCURRENCE DATA ON CHLORINATED PARAFFINS IN FEED AND FOOD

  • EFSA CONTAM Panel
  • Schrenk, Dieter
  • Bignami, Margherita
  • Bodin, Laurent
  • Chipman, James Kevin
  • Del Mazo, Jesús
  • Grasl-Kraupp, Bettina
  • Hogstrand, Christer
  • Hoogenboom, Laurentius (Ron)
  • Leblanc, Jean-Charles
  • Nebbia, Carlo Stefano
  • Ntzani, Evangelia
  • Petersen, Annette
  • Sand, Salomon
  • Schwerdtle, Tanja
  • Vleminckx, Christiane
  • Wallace, Heather
  • Brüschweiler, Beat
  • Leonards, Pim
  • Rose, Martin
  • Binaglia, Marco
  • Horvath, Zsuzsanna
  • Ramos Bordajandi, Luisa
  • Nielsen, Elsa
This Annex is an excel file which presents tables on chlorinated paraffins on occurrence data in food and dietary exposure assessment for humans., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285475
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285475
HANDLE: http://hdl.handle.net/10261/285475
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285475
PMID: http://hdl.handle.net/10261/285475
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285475
Ver en: http://hdl.handle.net/10261/285475
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285475

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285496
Dataset. 2022

CORRELATION OF THE KINETICS OF VIRAL ANTIGEN AND GENOMIC RNA WITH RESTORATION OF NORMAL CELL HOMEOSTASIS

  • Castro, Victoria
  • Calvo, Gema
  • Gastaminza, Pablo
The main objective of the studies within COCID Work Package 6 is to understand basic mechanisms by which viral replication machineries are removed from cells after pharmacological interruption of viral replication using functional as well as imaging techniques, including soft X-ray tomography. In this document, we highlight the progress in establishing the HCV replication models (replicons), the antiviral treatment chosen to eliminate viral structures from the host cells and the correlation between elimination of the viral replication machinery and restoration of a normal host cell homeostasis, using markers of HCV-induced stress. These data are essential to frame the experimental setup chosen for the imaging process required in subsequent stps of the project., European Commission: CoCID - Compact Cell-Imaging Device to provide insight into the cellular origins of diseases and to aid in the development of novel therapeutics (101017116), Peer reviewed

Proyecto: EC/101017116/
DOI: http://hdl.handle.net/10261/285496
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285496
HANDLE: http://hdl.handle.net/10261/285496
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285496
PMID: http://hdl.handle.net/10261/285496
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285496
Ver en: http://hdl.handle.net/10261/285496
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285496

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500
Dataset. 2022

LONG-TERM MONITORING OF MACROINVERTEBRATES (ABUNDANCE AND DISTRIBUTION) OF DOÑANA WETLANDS 2004-2019

  • Bravo, Miguel A.
  • Román, Isidro
  • Andreu, Ana C.
  • Arribas, Rosa
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats. Three files are provided. The first file (Don_macroinv_ev_20221222) contains the information of each event (eventID, event date, geographical coordinates, sample effort, etc…); the second file (Don_macroinv_occ_20221222) contains the information of the occurrences of individuals recorded in each station and its taxonomic classification; and the third file (Don_macroinv_mof_20221222) provide information of biometric variable (weithg) of macroinvertebrates samples recorded in each occurrence., The monitoring of the macroinvertebrates community in Doñana wetlands was initiated in 2004 as part of the Monitoring Program of Natural Resources and Processes. The aim was to obtain a temporal and continuous series of data in the abundance and distribution of macroinvertebrates species to analyze the evolution of their numbers and estimates biodiversity values. Data were recorded annually between 2004-2019 by more than 2 members of the monitoring team which performed samplings in different locations twice per year in winter-spring and summer seasons when the study sites are flooded. The macroinvertebrates were sampled at the 139 stations classified according to their location (on either aeolian sands or marshland). Funnel traps were used as a sampling method. Between 5-9 funnel traps were randomly distributed (until 50 cm of depth) in each location, depending of the flooded area and depth. The traps were left for 24 hours and emptied the content into white sorting pans. Individuals were counted and identified until the maximun taxonomic level in the field and realease. During samplings, it was identified 65 families. The most abundances were Notonectidae and Corixidae. Data recorded during the surveys included species identification, number of individuals, sex and life stage (pupa, larvae, juvenile, adult) of the organisms when possible, as well as the time and georreferenced data of the observation. Between 2004-2007 data was registered in Excel file and since 2008 data was recorded in CyberTracker sequence). The protocol used has been supervised by researchers and the data have been validated by the members who performed the sampling., We acknowledge financial support from National Parks Autonomous Agency (OAPN) between 2002-2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2005)., 1. Don_macroinv_ev_20221222: eventID, intitutionCode, datasetName, eventDate, year, month, day, continent, country, stateProvince, location, localityID, locality, sampleSizeUnit, sampleSizeEffort, DynamicPropiertiesEvent, eventRemarks, recordedBy.-- 2. Don_macroinv_occ_20221222: eventID, occurrenceID, basisOfRecord, individualCount, sex, lifeStage, kingdom, phylum, order, family, genus, specificEpithet, scientificName.-- 3. Don_macroinv_mof_20221222: ocurrenceID, measurementID, measurementValue, measurementUnit, measurementType, measurementAccuracy, measurementMethod., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285500
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500
HANDLE: http://hdl.handle.net/10261/285500
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500
PMID: http://hdl.handle.net/10261/285500
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500
Ver en: http://hdl.handle.net/10261/285500
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505
Dataset. 2022

LONG-TERM MONITORING OF FISH (ABUNDANCE AND DISTRIBUTION) OF DOÑANA WETLANDS 2004-2019

  • Bravo, Miguel A.
  • Román, Isidro
  • Andreu, Ana C.
  • Arribas, Rosa
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats. Three files are provided. The first file (Don_fish_ev_20221222) contains the information of each event (eventID, event date, geographical coordinates, sample effort, etc…); the second file (Don_fish_occ_20221222) contains the information of the occurrences of fish species recorded in each station, taxonomic classification; and the third file (Don_fish_mof_20221222) provide information of the biometric variable (weight) of fish sample in each occurrence., The monitoring of the fish community in Doñana wetlands was initiated in 2004 as part of the Monitoring Program of Natural Resources and Processes. The aim was to obtain a temporal and continuous series of data in the abundance and distribution of fish species to analyze the evolution of their numbers and estimates biodiversity values. Data were recorded annually between 2004-2019 by more than 2 members of the monitoring team which performed samplings in different locations twice per year in winter-spring and summer seasons when the study sites are flooded. The fishes were sampled at the 139 stations classified according to their location (on either aeolian sands or marshland). Funnel traps were used as a sampling method. Between 5-9 funnel traps were randomly distributed (until 50 cm of depth) in each location, depending of the flooded area and depth. The traps were left for 24 hours and emptied the content into white sorting pans. Individuals were counted and identified until the maximun taxonomic level in the field and realease. During samplings, it was identified 15 families. The most abundances were Poecilidae and Cyprinidae. Data recorded during the surveys included species identification, number of individuals, sex and life stage (pupa, larvae, inmature, mature) of the organisms when possible, as well as the time and georreferenced data of the observation. Between 2004-2007 data was registered in Excel file and since 2008 data was recorded in CyberTracker sequence). The protocol used has been supervised by researchers and the data have been validated by the members who performed the sampling., We acknowledge financial support from National Parks Autonomous Agency (OAPN) between 2002-2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2005)., 1. Don_fish_ev_20221222: eventID, intitutionCode, institutionID, datasetName, eventDate, year, month, day, country, stateProvince, location, localityID, locality, decimalLatitude, decimalLongitude, habitat, sampleSizeUnit, sampleSizeEffort, DynamicPropiertiesEvent, eventRemarks, recordeBy.-- 2. Don_fish_occ_20221222: eventID, occurrenceID, individualCount, sex, lifeStage, kingdom, phylum, order, family, genus, specificEpithet, scientificName.-- 3. Don_fish_mof_20221222: OccurrenceID, measurementID, measurementType, measurementValue, measurementUnit, measurementMethod., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285505
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505
HANDLE: http://hdl.handle.net/10261/285505
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505
PMID: http://hdl.handle.net/10261/285505
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505
Ver en: http://hdl.handle.net/10261/285505
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285507
Dataset. 2022

CONTAMINATION FROM MICROPLASTICS AND OTHER ANTHROPOGENIC PARTICLES IN THE DIGESTIVE TRACTS OF THE COMMERCIAL SPECIES ENGRAULIS ENCRASICOLUS AND SARDINA PILCHARDUS

  • Sánchez-Guerrero Hernández , Miguel Jorge
  • González-Fernández, Daniel
  • Sendra, Marta
  • Ramos, Fernando
  • Yeste, María Pilar
  • González-Ortegón, Enrique
Dataset of microplastics and other anthropogenic particles found on stomach contents of anchovy and sardines in the gulf of Cadiz (Europe) Dataset with date, longitude and latitude, species, area, sub-area, distance to Guadiana river mouth measured in kilometers (Guadiana), distance to Guadalquivir river mouth measured in kilometers (Guadalquivir), distance to the Bay of Cadiz measured in kilometers (Cadiz), distance to Huelva city measured in kilometers (Huelva), Individual, size (Cm), total weight (g), stomach weight (g), Relative condition index (Kn), Gonadosomatic index (GSI), sex, number of fibres and number of “others anthropogenic particles”., Fragments of microplastics (< 5mm) found in commercial species of fish, crustaceans, and bivalves, are an issue of global concern. The bioaccumulation of microplastics and other anthropogenic particles in different levels of the food web may provoke unwanted impacts on marine ecosystems and cause pernicious effects on human health. Here, we study the presence of anthropogenic particles and the fraction of microplastics in the target organs of two representative commercial fish species in Spain; the European anchovy (Engraulis encrasicolus) and the European pilchard (Sardina pilchardus). The individuals were sampled along the continental shelf of the Gulf of Cádiz, from the Bay of Cádiz to Cape Santa Maria. The isolation of the microplastics (MPs) was carried out with a complete alkaline-oxidant organic digestion (KOH-H2O2) of the digestive tract, including both the contents ingested and the muscle tissues. Anthropogenic particles were found in all individuals of both species with an average of 8.94 ± 5.11 items·ind-1. Fibres made up 93 % of the items while fragments and films were represented by the remaining 7 %. The average size of the anthropogenic particles was 0.89 ± 0.82 mm. In addition to the fragment and film particles identified as microplastics, 29 % of the fibres were estimated to be microplastics by Fourier-transform infrared spectroscopy (FTIR) analysis. The main polymer found in both species was nylon. No significant correlation was found between the abundance and size of anthropogenic particles ingested and individual size or other body variables. The analysis of similarities (ANOSIM) and the distanced-based multiple linear regression model showed a high homogeneity in anthropogenic particle contamination in both species throughout the study area along the continental shelf of the Gulf of Cádiz., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285507
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285507
HANDLE: http://hdl.handle.net/10261/285507
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285507
PMID: http://hdl.handle.net/10261/285507
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285507
Ver en: http://hdl.handle.net/10261/285507
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285507

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