Resultados totales (Incluyendo duplicados): 45302
Encontrada(s) 4531 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285155
Dataset. 2020

COMPARATIVE PROTEOMICS ANALYSIS OF ANISAKIS SIMPLEX S. S. – EVALUATION OF THE RESPONSE OF INVASIVE LARVAE TO IVERMECTIN

  • Polak, Iwona
  • Lopieńska-Biernat, Elzbieta
  • Stryiński, Robert
  • Carrera, Mónica
  • Mateos, Jesús
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285155
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285155
HANDLE: http://hdl.handle.net/10261/285155
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285155
PMID: http://hdl.handle.net/10261/285155
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285155
Ver en: http://hdl.handle.net/10261/285155
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285155

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285331
Dataset. 2022

WEED VEGETATION, CROP YIELD AND QUALITY AND MANAGEMENT OF 26 WHEAT FIELDS OF MEDITERRANEAN SPAIN

  • Hernández-Plaza, Ana
  • Bastida, F.
  • Gibson, David J.
  • Barro Losada, Francisco
  • Giménez, María J.
  • Pallavicini, Yésica
  • Izquiedo, Jordi
  • González-Andújar, José Luis
[Method] The study was carried out in 2013–2014 across 26 wheat fields (Triticum aestivum L. and Triticum turgidum subsp. durum Desf.) under a Mediterranean climate in Spain. Fields were either organically or conventionally managed and were located in cereal areas in four Spanish regions: Andalusia (15 fields), Madrid (3 fields), Castilla-La Mancha (4 fields) and Catalonia (4 fields). In each field, ten (1 m × 1 m) plots were established during crop tillering and maintained until harvest. Weeds were sampled at the end of the crop vegetative period (April with dates slightly varying depending on field location). In each plot we recorded the weed species present, and we visually assessed the cover (in cm2) of each weed species and the crop. We also measured plant height (cm). Immediately before crop harvest, we sampled the plots again to obtain crop yield. In each plot we counted the number of wheat stems with ears and cut 30 of them. We determined the dry weight (after 48 h at 65 °C) of the 30 stems, threshed the ears and weighed the grain for each sample. In doing this we obtained an average value for the grain weight of an ear. We calculated crop grain weight in each plot multiplying mean grain weight of each sample by the total number of fertile stems in the plot. In each plot, we obtained two measures of grain quality: the percentage of total dry protein content determined using the Kjeldahl standard method at the Laboratorio Agroalimentario de Córdoba (Córdoba, Spain) and the glutenin to gliadin ratio. The amount of glutenin and gliadin in each plot, was obtained from 100 mg of wheat flour. First, we ground the wheat grains of each sample using a ball mill to obtain flour of a 100 µm particle size. The extraction of gliadin and glutenin proteins was done using a modified classical Osborne procedure based on protein solubility. The method is described in detail in Wieser et al. (1998) and Pistón et al. (2011). Gliadin protein was extracted stepwise three times, samples were centrifuged, and the supernatans were collected and pooled. The insoluble material from the previous step was used to obtain the glutenin fraction in a similar manner. Then, each of the extracts were filtered and they were applied to a 300SB-C8 reverse phase analytical column using a 1200 Series Quaternary LC System liquid chromatograph (Agilent Technologies) with a DAD UV-V detector. Absorbance was monitored with the DAD UV-V module at 210 nm. The amounts of both fractions were determined using bovine serum albumin as protein standard. Both fractions were expressed as μg/mg flour. The glutenin to gliadin ratio was calculated by dividing the amount of glutenins by gliadin content. For each field we also recorded the crop species and the variety, and collected data on management practices: sowing date (month), fertilization rate (kg N/ha), preceding crop (legume, fallow, sunflower or cereal; categories depending on the nutrient demand of the crop), type of tillage and herbicides used. We also obtained data on the average monthly temperature (ºC) and total precipitation (mm) during crop growth season from the nearest meteorological stations. [Methods for processing the data] Different plant community diversity indices were computed from data. Statistical analyses were performed to understand the relationship between crop quality and weeed community diversity as explained in: Paper accepted for publication., Weed community structure, including composition and taxonomic and functional diversity, may explain variability in crop quality, adding to the variability accounted for by management, climatic and genetic factors. Focusing on Mediterranean rainfed wheat crops, we sampled weed communities from 26 fields in Spain that were either organically or conventionally managed. Weed communities were characterized by their abundance and taxonomic, compositional and trait-based measures. Grain protein concentration and the glutenin-to-gliadin ratio were used as indicators of wheat grain quality. Linear mixed-effects models were used to analyze the relationship between crop quality and weed community variables, while accounting for environmental factors. Nitrogen fertilization, previous crop and precipitation explained an important part of wheat grain protein concentration (R2marginal = 0.39) and composition (R2marginal = 0.26). Weed community measures had limited effects on grain quality (increasing R2marginal of models by 1% on average). The weed effects were related to the composition and the functional structure of their communities but not to their abundance. Environmental conditions promoting higher protein concentration also selected for weed species with competitive attributes, whereas the role of weed functional diversity depended on the functional trait and on the resource limiting crop grain quality. Understanding the mechanisms of weed effects on crop quality could aid in designing sustainable weed management practices., Grants AGL2012-33736 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”., Peer reviewed

DOI: http://hdl.handle.net/10261/285331, https://doi.org/10.20350/digitalCSIC/14863
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285331
HANDLE: http://hdl.handle.net/10261/285331, https://doi.org/10.20350/digitalCSIC/14863
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285331
PMID: http://hdl.handle.net/10261/285331, https://doi.org/10.20350/digitalCSIC/14863
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285331
Ver en: http://hdl.handle.net/10261/285331, https://doi.org/10.20350/digitalCSIC/14863
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285331

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285449
Dataset. 2020

DATA FROM: GENETIC ADMIXTURE INCREASES PHENOTYPIC DIVERSITY IN THE NECTAR YEAST METSCHNIKOWIA REUKAUFII

  • Álvarez-Pérez, Sergio
  • Dhami. Manpreet K.
  • Pozo, María I.
  • Crauwels, Sam
  • Verstrepen, Kevin
  • Herrera, Carlos M.
  • Lievens, Bart
  • Jacquemyn, Hans
Table S5.xlsx -- Pairwise correlations between phenotypic traits of Metschnikowia reukaufii. Table S6.xlsx -- Detailed results obtained in tests of phylogenetic signal for different phenotypic traits and indices of overall performance of Metschnikowia reukaufii. Table S7.xlsx -- Detailed model fitting results obtained for phenotypic traits and indices of overall performance of Metschnikowia reukaufii. mronlyvcf-renamed.vcf -- High coverage SNPs obtained from whole genome mapping of 73 Metschnikowia reukaufii strains to diploid reference (mean coverage = 47.9×, range 23 – 116×). MR_phenotypes.xlsx -- Phenotypic data obtained for 73 Metschnikowia reukaufii strains., Raw data and supplementary files for the manuscript "Genetic admixture increases phenotypic diversity in the nectar yeast Metschnikowia reukaufii"., European Commission: PHENOGENYEAST - Exploring the phenotypic landscape of nectar yeasts in relation to their genetic background (327635)., Peer reviewed

Proyecto: EC/FP7/327635
DOI: http://hdl.handle.net/10261/285449
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285449
HANDLE: http://hdl.handle.net/10261/285449
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285449
PMID: http://hdl.handle.net/10261/285449
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285449
Ver en: http://hdl.handle.net/10261/285449
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285449

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285459
Dataset. 2020

RISK ASSESSMENT ON GLYCOALKALOIDS IN FEED AND FOOD: OCCURRENCE DATA IN FOOD AND FEED SUBMITTED TO EFSA AND DIETARY EXPOSURE ASSESSMENT FOR HUMANS

  • EFSA CONTAM Panel
  • Schrenk, Dieter
  • Bignami, Margherita
  • Bodin, Laurent
  • Chipman, James Kevin
  • Del Mazo, Jesús
  • 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
  • Brimer, Leon
  • Cottrill, Bruce
  • Dusemund, Birgit
  • Mulder, Patrick
  • Vollmer, Günter
  • Binaglia, Marco
  • Ramos Bordajandi, Luisa
  • Riolo, Francesca
  • Roldan-Torres, Ruth
  • Grasl-Kraupp, Bettina
[UPDATE to version 2 of this upload] Also the raw (no data cleaning applied to it) occurrence dataset as extracted from EFSA DWH 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). [Description - Version 1] Annex: Tables on GAs on occurrence data in food and feed, and dietary exposure assessment for humans Table A.1. Dietary surveys used for the estimation of acute dietary exposure to GA Table A.2. Number of results and samples per food category submitted to EFSA through the continuous call for data Table A.3. Analytical results excluded from the final dataset used to estimate dietary exposure and the criteria applied for exclusion Table A.4. Occurrence of alpha-chaconine and alpha-solanine (UB mg/kg) in the samples included in the final dataset (left censored results highlighted in yellow) Table A.5. European Starch Association data on feed and potatoes for starch Table A.6. Details acute assessment across surveys (consumption days only) Table A.7. Comparison of exposure summary results obtained using the uniform vs the normal distribution for reduction factors, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285459
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285459
HANDLE: http://hdl.handle.net/10261/285459
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285459
PMID: http://hdl.handle.net/10261/285459
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285459
Ver en: http://hdl.handle.net/10261/285459
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285459

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, https://doi.org/10.20350/digitalCSIC/14880
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466
HANDLE: http://hdl.handle.net/10261/285466, https://doi.org/10.20350/digitalCSIC/14880
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466
PMID: http://hdl.handle.net/10261/285466, https://doi.org/10.20350/digitalCSIC/14880
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466
Ver en: http://hdl.handle.net/10261/285466, https://doi.org/10.20350/digitalCSIC/14880
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
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