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Development of a predictive model for aflatoxin production and fungal growth in the Brazil nut production chain

Olsen Monica, Jonsson Pernilla, Brabet Catherine, Azevedo Vargas Eugenia, Nogueira Leite Felicia Marias, Leite de Souza Joana Maria, Quaresma de Araujo Mauricio, Medeiros Nilce Limeira, Thim Anna-Maria, Lindblad Mats. 2009. Development of a predictive model for aflatoxin production and fungal growth in the Brazil nut production chain. In : Worldwide mycotoxin reduction in food and feed chains. International Society for Mycotoxicology (ISM) Conference, 9-11 September 2009, Tullin, Austria : Book of abstracts. ISM. Bari : ISM, p. 46. International Society for Mycotoxicology (ISM) Conference, Vienne, Autriche, 9 September 2009/11 September 2009.

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Abstract : The Brazil nut tree (Bertholletia excelsa Humb. and Bonpl.) is indigenous to the Amazon rainforest. The nuts are collected as windfalls from wild growing trees during the rainy season. Brazil nuts are known to get infected with aflatoxin producing moulds leading to aflatoxin contamination of the nuts. The present study aimed at understanding the growth of aflatoxigenic moulds and aflatoxin production in Brazil nuts in relation to humidity conditions and storage time to support technical recommendations of good practices for preventing and controlling toxin formation. The results are divided into 3 parts: - Laboratory storage study: aflatoxin production and fungal growth in relation to storage humidity and time, correlation between mould and toxin levels; - Comparing the results from the storage study with field data; and - Laboratory study of the growth and aflatoxin production of different strains of aflatoxigenic fungi isolated from Brazil nuts: effects of strain variation, temperature and inoculum size. The conclusions were that the models can be used to evaluate the effect of storage humidity on the risk of high aflatoxin levels, to predict aflatoxin levels based on mould levels and to estimate how fast the risk of high aflatoxin levels increases under field conditions. The results from using different strains also indicate that the findings in the laboratory storage study generally are robust. The practical use of these models is already in force by indicating the maximum time at different points in the production chain and including those in guidelines for good practice. The present work was carried out within the framework of the Safenut project (http://stdfsafenutproject.com/) financed by the Standards and Trade Development Facility (STDF 114 -http://www.standardsfacility.org/) (Texte intégral)

Classification Agris : Q03 - Food contamination and toxicology

Auteurs et affiliations

  • Olsen Monica, National Food Administration (SWE)
  • Jonsson Pernilla, National Food Administration (SWE)
  • Brabet Catherine, CIRAD-PERSYST-UMR Qualisud (FRA)
  • Azevedo Vargas Eugenia, Ministerio da Agricultura, Pecuria e Abastecimento (Brésil) (BRA)
  • Nogueira Leite Felicia Marias, UFAC (BRA)
  • Leite de Souza Joana Maria, EMBRAPA (BRA)
  • Quaresma de Araujo Mauricio, Ministerio da Agricultura, Pecuria e Abastecimento (Brésil) (BRA)
  • Medeiros Nilce Limeira, Ministerio da Agricultura, Pecuria e Abastecimento (Brésil) (BRA)
  • Thim Anna-Maria, National Food Administration (SWE)
  • Lindblad Mats, National Food Administration (SWE)

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/554224/)

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