EFSA Supporting Publications最新文献

{"title":"Bactrocera dorsalis Pest Report to support the ranking of EU candidate priority pests","authors":"European Food Safety Authority (EFSA),&nbsp;Sara Tramontini,&nbsp;Gianni Gilioli,&nbsp;Eduardo de la Peña,&nbsp;Daria Rzepecka,&nbsp;Marica Scala,&nbsp;Berta Sánchez,&nbsp;Alexandre Nougadère,&nbsp;Sybren Vos,&nbsp;Council for Agricultural Research and Economics (CREA),&nbsp;Francesco Turillazzi,&nbsp;Francesco Paoli","doi":"10.2903/sp.efsa.2025.EN-9326","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9326","url":null,"abstract":"<p>In 2022, EFSA was mandated by the European Commission's Directorate-General for Health and Food Safety (M-2022-00070) to provide technical assistance on the list of Union quarantine pests qualifying as priority pests, as specified in Article 6(2) of Regulation (EU) 2016/2031 on protective measures against plant pests. As part of Task C, EFSA conducted expert knowledge elicitations for candidate priority pests, focusing on the lag period, expansion rate and impact on production (yield and quality losses) and the environment. This report provides the rationale for the dataset on <i>Bactrocera dorsalis</i>, delivered to the European Commission's Joint Research Centre, to feed into the Impact Indicator for Priority Pest (I2P2) model and complete the pest prioritisation ranking exercise.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9326","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prolonged cross-border multi-serovar Salmonella outbreak linked to consumption of sprouted seeds","authors":"European Food Safety Authority","doi":"10.2903/sp.efsa.2025.EN-9315","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9315","url":null,"abstract":"<p>A cross-border multi-serovar Salmonella enterica outbreak linked to the consumption of sprouted seeds has been ongoing in Europe since 2023. Between January 2023 and January 2025, 509 confirmed cases of salmonellosis meeting the European case definition were identified in nine European Union/European Economic Area (EU/EEA) countries: Belgium (1), Denmark (4), Estonia (1), Finland (94), France (3), Germany (30), the Netherlands (9), Norway (257) and Sweden (110). One case was also reported by the United Kingdom. The outbreak encompasses eight Salmonella serotypes, several of which are rarely reported in the EU/EEA. Sprouts were identified as the vehicle of infection in multiple national investigations, which was confirmed by EU centralised whole genome sequencing (WGS) analysis.</p><p>Sharing of epidemiological, traceability, and WGS data across countries in both public health and food safety sectors, was crucial in linking seven national outbreaks in Finland, Germany, Norway and Sweden to a common seed supplier in Italy. Further food investigations linked the common supplier to three seed growers located in the same geographical area of Italy. The role of the environment in the seed contamination at grower level, and of cross-contaminations along the seed supply chain contributing to the multi-strain occurrence, should be further investigated.</p><p>Food safety authorities in the countries concerned implemented control measures, including withdrawal and recall of investigated batches. This significantly decreased case notifications. However, several countries have detected new cases, indicating that contaminated seed batches may still be in circulation and further interventions needed. Cases may continue to occur until the point(s) where the seeds were contaminated with Salmonella can be identified and properly controlled. Seed producers should apply all procedures necessary (e.g. Good Agricultural Practices (GAP)) to prevent microbial contamination of seeds intended for sprouting and sprout producers should implement adequate food safety management systems to ensure only safe products reach the market.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9315","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plant Health Newsletter on Horizon Scanning–February 2025","authors":"European Food Safety Authority (EFSA)","doi":"10.2903/sp.efsa.2025.EN-9312","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9312","url":null,"abstract":"","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9312","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143595464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extension of the EFSA Pesticides Genotoxicity Database","authors":"Daniel H. Foil,&nbsp;Asya Kadic,&nbsp;Benjamin C. Fischer,&nbsp;Karsten Bech,&nbsp;Jeannette König,&nbsp;Kristin Herrmann,&nbsp;Carsten Kneuer","doi":"10.2903/sp.efsa.2025.EN-9311","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9311","url":null,"abstract":"<p>In 2012 the EFSA Panel on Plant Protection Products and their Residues, the Panel pointed out to the need for a well-curated database of genotoxicity data to support reliable use of <i>in silico</i> methods for predicting genotoxicity of chemicals in this domain. Subsequently, EFSA developed a database of genotoxicity extracted from data submitted in the course of regulatory approval of pesticides, and this database was used to test the performance of existing tools for predicting genotoxicity. It was concluded that, at present, QSAR works well for Ames mutagenicity, but not for other endpoints. BfR has developed its own internal database of curated genotoxicity data extracted from original study reports, focusing initially on Ames and subsequently expanded to include <i>in vitro</i> micronucleus (MN) results. To facilitate extension the EFSA database with Ames and <i>in vitro</i> MN data from the BfR database, a workflow for the migration of the data in the BfR Genotoxicity Database to a IUCLID format was developed and applied. After migration to IUCLID, there were 349 files for Ames and 183 for MN, one for each substance per endpoint. In the course of performing the data migration to the IUCLID/OHT template, several changes to the structure of the OHT 70 (Genetic toxicity <i>in vitro</i>) which would improve its usefulness were recognized. The BfR genotoxicity database, available in https://zenodo.org/communities/efsa-kj, represents a valuable extension, provides additional dose-response information and might offer opportunities to validate the EFSA genotoxicity database.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9311","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143554834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Update of EFSA Operator Exposure Calculator","authors":"Dagmar Bemelmans,&nbsp;Machteld Varewyck,&nbsp;Tobias Verbeke","doi":"10.2903/sp.efsa.2025.EN-9302","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9302","url":null,"abstract":"<p>In specific contract No 1 issued under the framework agreement OC/EFSA/MESE/2023/03, EFSA requested Open Analytics to extend and update the web application for non-dietary exposure estimates (for operators, workers, residents and bystanders) related to the use of plant protection products. This online tool was amended with correction of several calculated values, an increase in the flexibility of the calculations, generation of different reports and an update of the Manual (as appropriate). This report discusses the implemented changes to the R-package <i>opex</i> for calculating risks, generating reports and building the web application.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9302","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143533323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FFRAUD-ER: Development of a computational model for identifying Food Fraud incidents as drivers for Food Safety Emerging Risks","authors":"G. Aristodemou,&nbsp;A. Braun,&nbsp;A. Frangos,&nbsp;A. Papadopoulos,&nbsp;V. Vrachimis","doi":"10.2903/sp.efsa.2025.EN-9301","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9301","url":null,"abstract":"<p>The primary objective of this project was the development of a computational model aimed at identifying food fraud incidents as drivers for food safety emerging risks, in alignment with EFSA's activities on environmental scanning. These activities include the identification and analysis of emerging risks, the enhancement of risk identification methodologies, and the communication of identified risks. At first stage, the focus was on the identification and prioritisation of data sources of historical food fraud cases. This phase involved rigorous criteria for data selection to ensure accuracy and relevance. Subsequently, a labelled dataset was developed through systematic data categorisation and annotation, essential for training the computational model to detect patterns of potential safety risks in food fraud incidents. The core of the project involved the creation of the Computational Model (CM) using natural language processing (NLP) and deep learning algorithms. Six state-of-the-art NLP models (BERT, XLNet, GPT-3, ELECTRA, T5, and ELMo) were identified, trained and tested on the labelled dataset, with XLNet achieving an F1-Score of 95% and a ROC/AUC Score of 98%. An iterative refinement phase followed, involving feedback from the FFRAUD-ER Network and stakeholders to enhance the model's reliability. Finally, the model's application in real-world scenarios was explored, demonstrating its utility in aiding EFSA and other Emerging Risk Identification networks to detect emerging food safety risks. The results indicate that the computational model can successfully determine whether a food fraud instance poses a food safety risk. Statistical and analytical techniques applied alongside the CM on newly acquired data of food fraud incidents have shown potential, although their efficiency and effectiveness will primarily depend on the quality and quantity of future data.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9301","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Critical appraisal tool (CAT) for the evaluation of evidence from animal observational epidemiological studies","authors":"Anselm Hornbacher,&nbsp;Matthias Greiner,&nbsp;Christine Müller-Graf,&nbsp;Narges Ghoreishi","doi":"10.2903/sp.efsa.2025.EN-9157","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9157","url":null,"abstract":"<p>Risk of bias assessments in animal observational epidemiological studies can be challenging due to the heterogeneity in observational study designs and the lack of available tools for guided approaches. We modified the structure of the previously developed tool for observational human studies, making it applicable to animal observational epidemiological studies and allowing researchers to conduct a systematic, comprehensive, standardized evaluation of the risk of bias in animal observational epidemiological studies. The prototype tool development was following a three-stage consensus-building approach: 1) defining the scope and overall structure of the tool. 2) articulating the wording of domains and items and their signalling questions. 3) finalising the tool with a test round to ensure its reliability and user-friendliness. Each stage consisted of a Delphi-round followed by an online consensus group meeting in a panel of experts. We engaged a total of 13 experts from different areas of veterinary epidemiology, tool development, and reproducible research methodology. The modified Delphi study allowed the consensus-based development of the tool. Seven experts tested the prototype in a pilot study. The tool was then programmed as a web app and its usability was determined. Results from the test phase were then implemented into a final version of the prototype tool. The raRoB-vet tool was developed for evaluation of animal observational studies to allow for standardized and reproducible assessment of risk of bias. It contributes to fill the existing gap in critical appraisal tools in epidemiological animal studies. The tool is currently considered a prototype tool that will benefit from further testing of its feasibility, validity, reliability, reproducibility and fitness for specific purposes.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9157","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technical Report on the notification of dried fronds of Durvillaea incurvata (Suhr) Macaya as a traditional food from a third country pursuant to Article 14 of Regulation (EU) 2015/2283","authors":"European Food Safety Authority (EFSA),&nbsp;Karl-Heinz Engel,&nbsp;Wirginia Kukuła-Koch,&nbsp;Alexandre Maciuk,&nbsp;Carmen Pelaez,&nbsp;Kirsten Pilegaard,&nbsp;Henk van Loveren,&nbsp;Marcello Laganaro,&nbsp;Emanuela Turla,&nbsp;Elisa Beneventi","doi":"10.2903/sp.efsa.2025.EN-9279","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9279","url":null,"abstract":"<p>A notification from Buenalimento S.L. (Chile) has been submitted to the European Commission under Article 14 of Regulation [European Union (EU)] 2015/2283 to place on the market dried fronds of <i>Durvillaea incurvata</i> (Suhr) Macaya as a traditional food from a third country (TF). In line with Article 15(2) of that Regulation, the European Food Safety Authority (EFSA) was asked by the European Commission whether there are duly reasoned safety objections to the placing on the market of the TF within the EU. The TF consists of the dried fronds of the brown algae <i>D. incurvata</i> that, according to the applicant, have been consumed for more than 25 years in Chile. The TF is proposed to be marketed in the EU in various dried forms, including whole intact fronds, chopped fronds or small and formless sifted fronds fragments. Based on the cadmium, iodine and inorganic arsenic content in the TF, EFSA considers that the TF may pose a safety risk to human health. Thus, EFSA raises safety objections to the placing on the market within the EU of the TF (dried fronds of <i>D. incurvata</i>).</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9279","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143497241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Report for 2023 on the results from the monitoring of residues of veterinary medicinal products in live animals and animal products","authors":"European Food Safety Authority (EFSA),&nbsp;Stefania Salvatore,&nbsp;Marta Vericat Ferrer","doi":"10.2903/sp.efsa.2025.EN-9297","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9297","url":null,"abstract":"<p>The report summarises the monitoring data collected in 2023 on the presence of residues of veterinary medicinal products and certain substances in live animals and animal products in the EU Member States, Iceland and Norway. A total of 548,194 samples were reported to the European Commission. A total of 284,850 samples were reported in accordance with the specifications of the national risk-based control plan for production in the Member States; 13,709 were samples collected in conformity with the specifications of the national randomised surveillance plan for production in the Member States; and 5162 samples were collected in conformity with the specifications of the national risk-based control plan for third-country import. Additionally, 8741 suspect samples were reported in 2023 as follow-up of non-compliant results and 235,732 samples were collected in the framework of other programmes developed under the national legislation. The majority of countries fulfilled the requirements for sampling frequency laid down in Commission Implementing Regulation 2022/1646.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9297","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Listronotus bonariensis Pest Report to support the ranking of EU candidate priority pests","authors":"European Food Safety Authority (EFSA),&nbsp;Alexandre Nougadère,&nbsp;David Makowski,&nbsp;Marica Scala,&nbsp;Berta Sánchez,&nbsp;Federica Baldassarre,&nbsp;Dejana Golic,&nbsp;Alex Gobbi,&nbsp;Andrea Maiorano,&nbsp;Sara Tramontini,&nbsp;Sybren Vos,&nbsp;Council for Agricultural Research and Economics (CREA),&nbsp;Giuseppe Mazza","doi":"10.2903/sp.efsa.2025.EN-9298","DOIUrl":"https://doi.org/10.2903/sp.efsa.2025.EN-9298","url":null,"abstract":"<p>In 2022, EFSA was mandated by the European Commission's Directorate-General for Health and Food Safety (M-2022-00070) to provide technical assistance regarding the list of Union quarantine pests qualifying as priority pests, as specified in Article 6(2) of Regulation (EU) 2016/2031 on protective measures against plant pests. As part of Task C, EFSA conducted comprehensive expert knowledge elicitations on candidate priority pests, focusing on the lag period, rate of expansion and impact on production (yield and quality losses) and the environment. This report provides the rationale for the dataset on <i>Listronotus bonariensis</i>, delivered to the European Commission's Joint Research Centre, to feed into the Impact Indicator for Priority Pest (I2P2) model and complete the pest prioritisation ranking exercise.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9298","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143475513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}