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Pesticides, Mycotoxins and Residues Analysis in Food


  1. M. Volante1,
  2. P. Branca2

Published Online: 15 SEP 2006

DOI: 10.1002/9780470027318.a1022

Encyclopedia of Analytical Chemistry

Encyclopedia of Analytical Chemistry

How to Cite

Volante, M. and Branca, P. 2006. Pesticides, Mycotoxins and Residues Analysis in Food. Encyclopedia of Analytical Chemistry. .

Author Information

  1. 1

    Presidio Multizonale di Igiene e Prevenzione, Unità Operativa Chimica, Azienda Sanitaria Locale Como, Italy

  2. 2

    Agenzia Regionale Protezione Ambientale Piemonte, Dipartimento di Torino, Area Fitofarmaci, Italy

Publication History

  1. Published Online: 15 SEP 2006


This article will deal with methods for analyzing residues of pesticides and mycotoxins from molds in food. A general description of each topic is given directing the reader towards some key reviews, books or manuals published in the field with specific references added for more recent papers or topics of particular interest; techniques such as chromatography, spectrophotometry and immunochemical methods have been reviewed. In the first section sampling procedures are discussed, in the second section an overall description of the analytical methods used for pesticide residues in food is given with particular attention to multiresidue methods, in general those used most for assessing residue levels in crops at the international level, with consideration given to those less used methods dedicated to specific compound classes not covered elsewhere. The third section deals with mycotoxins with a brief description of the various mycotoxin types and some properties, followed by some discussion of analytical methods. The description of analytical techniques has been divided into extraction, cleanup and instrumental determination techniques for both pesticides and mycotoxins. Some tables of experimental data are also given.

The last section (four) deals with quality assurance aspects outlining the necessary steps, included interlaboratory trials, needed to validate a method and to assure reliability of the data.