Chemical Analysis of Antibiotic Residues in Food

Chemical Analysis of Antibiotic Residues in Food

Editor(s): Jian Wang, James D. MacNeil, Jack F. Kay

Published Online: 7 NOV 2011 02:57PM EST

Print ISBN: 9780470490426

Online ISBN: 9781118067208

DOI: 10.1002/9781118067208

Series Editor(s): Dominic M. Desiderio

About this Book

An insightful exploration of the key aspects concerning the chemical analysis of antibiotic residues in food

The presence of excess residues from frequent antibiotic use in animals is not only illegal, but can pose serious health risks by contaminating products for human consumption such as meat and milk. Chemical Analysis of Antibiotic Residues in Food is a single-source reference for readers interested in the development of analytical methods for analyzing antibiotic residues in food. It covers themes that include quality assurance and quality control, antibiotic chemical properties, pharmacokinetics, metabolism, distribution, food safety regulations, and chemical analysis. In addition, the material presented includes background information valuable for understanding the choice of marker residue and target animal tissue to use for regulatory analysis. This comprehensive reference:

  • Includes topics on general issues related to screening and confirmatory methods

  • Presents updated information on food safety regulation based on routine screening and confirmatory methods, especially LC-MS

  • Provides general guidance for method development, validation, and estimation of measurement uncertainty

Chemical Analysis of Antibiotic Residues in Food is written and organized with a balance between practical use and theory to provide laboratories with a solid and reliable reference on antibiotic residue analysis. Thorough coverage elicits the latest scientific findings to assist the ongoing efforts toward refining analytical methods for producing safe foods of animal origin.

Table of contents

    1. You have free access to this content
    2. Chapter 7

      Single-Residue Quantitative and Confirmatory Methods (pages 227–262)

      Jonathan A. Tarbin, Ross A. Potter, Alida A. M. (Linda) Stolker and Bjorn Berendsen

    3. Chapter 9

      Measurement Uncertainty (pages 295–326)

      Jian Wang, Andrew Cannavan, Leslie Dickson and Rick Fedeniuk

    4. You have free access to this content