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Comparison of the efficiency between two sampling plans for aflatoxins analysis in maize
Mallmann, Adriano Olnei; Marchioro, Alexandro; Oliveira, Maurício Schneider; Rauber, Ricardo Hummes; Dilkin, Paulo; Mallmann, Carlos Augusto.
  • Mallmann, Adriano Olnei; Universidade Federal de Santa Maria. Departamento de Medicina Veterinária Preventiva. Laboratório de Análises Micotoxicológicas. Santa Maria. BR
  • Marchioro, Alexandro; Universidade Federal de Santa Maria. Departamento de Medicina Veterinária Preventiva. Laboratório de Análises Micotoxicológicas. Santa Maria. BR
  • Oliveira, Maurício Schneider; Universidade Federal de Santa Maria. Departamento de Medicina Veterinária Preventiva. Laboratório de Análises Micotoxicológicas. Santa Maria. BR
  • Rauber, Ricardo Hummes; Universidade Federal de Santa Maria. Departamento de Medicina Veterinária Preventiva. Laboratório de Análises Micotoxicológicas. Santa Maria. BR
  • Dilkin, Paulo; Universidade Federal de Santa Maria. Departamento de Medicina Veterinária Preventiva. Laboratório de Análises Micotoxicológicas. Santa Maria. BR
  • Mallmann, Carlos Augusto; Universidade Federal de Santa Maria. Departamento de Medicina Veterinária Preventiva. Laboratório de Análises Micotoxicológicas. Santa Maria. BR
Braz. j. microbiol ; 45(1): 35-42, 2014. ilus, tab
Article in English | LILACS | ID: lil-709476
ABSTRACT
Variance and performance of two sampling plans for aflatoxins quantification in maize were evaluated. Eight lots of maize were sampled using two plans manual, using sampling spear for kernels; and automatic, using a continuous flow to collect milled maize. Total variance and sampling, preparation, and analysis variance were determined and compared between plans through multifactor analysis of variance. Four theoretical distribution models were used to compare aflatoxins quantification distributions in eight maize lots. The acceptance and rejection probabilities for a lot under certain aflatoxin concentration were determined using variance and the information on the selected distribution model to build the operational characteristic curves (OC). Sampling and total variance were lower at the automatic plan. The OC curve from the automatic plan reduced both consumer and producer risks in comparison to the manual plan. The automatic plan is more efficient than the manual one because it expresses more accurately the real aflatoxin contamination in maize.
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Full text: Available Index: LILACS (Americas) Main subject: Zea mays / Aflatoxins / Food Analysis Type of study: Evaluation studies / Prognostic study Language: English Journal: Braz. j. microbiol Journal subject: Microbiology Year: 2014 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade Federal de Santa Maria/BR

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Full text: Available Index: LILACS (Americas) Main subject: Zea mays / Aflatoxins / Food Analysis Type of study: Evaluation studies / Prognostic study Language: English Journal: Braz. j. microbiol Journal subject: Microbiology Year: 2014 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade Federal de Santa Maria/BR