Literature DB >> 24552594

Aflatoxin evaluation in ready-to-eat brazil nuts using reversed-phase liquid chromatography and post-column derivatisation.

Beatriz Thie Iamanaka1, Felipe Nakano, Daniel Ponciano Lemes, Larissa Souza Ferranti, Marta Hiromi Taniwaki.   

Abstract

A high-performance liquid chromatography-fluorescence (HPLC-FD) method for aflatoxin quantification in brazil nuts was developed. Samples of brazil nuts collected in Brazilian markets were extracted with methanol:water and cleaned using an immunoaffinity column. Aflatoxins were eluted with methanol and a post-column derivatisation was performed with bromine, using a Kobra Cell system. The optimised method for total aflatoxins was sensitive, with detection and quantification limits of 0.05 and 0.25 µg kg⁻¹, respectively. The method was accurate, with recovery values of 87.6%; 85.3% and 85.0% for 0.5, 5.0 and 14.6 µg kg⁻¹ spiked levels, respectively. It was shown that the method was applicable to brazil nuts. From a total of 95 brazil nut samples analysed from 21 São Paulo supermarket samples and 51 Manaus and 23 Belém street markets samples, 37.9% showed detectable levels of aflatoxins and three exceeded the recommended Codex Alimentarius limit of 10 µg kg⁻¹ for ready-to-eat brazil nuts.

Entities:  

Keywords:  HPLC; aflatoxins; brazil nuts; immunoaffinity column

Mesh:

Substances:

Year:  2014        PMID: 24552594     DOI: 10.1080/19440049.2014.895857

Source DB:  PubMed          Journal:  Food Addit Contam Part A Chem Anal Control Expo Risk Assess        ISSN: 1944-0057


  2 in total

1.  High-performance liquid chromatography ultraviolet-photodiode array detection method for aflatoxin B1 in cattle feed supplements.

Authors:  Lazuardi Mochamad; Bambang Hermanto
Journal:  Vet World       Date:  2017-08-17

Review 2.  Understanding Mycotoxin Contamination Across the Food Chain in Brazil: Challenges and Opportunities.

Authors:  Marta H Taniwaki; John I Pitt; Marina V Copetti; Aldir A Teixeira; Beatriz T Iamanaka
Journal:  Toxins (Basel)       Date:  2019-07-15       Impact factor: 4.546

  2 in total

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