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Electrode, Comp-701341286, DC-prod-dfw5, ENV-prod-a, PROF-PROD, VER-19.1.31, SHA-771c9ce79737366b1d5f53d21cad4086bf722e21, CID-4e69c13a-e36-16e7bb079a226f, Generated: Sun, 17 Nov 2019 23:26:33 GMT

Integrated Analytical Approaches for Pesticide Management

Walmart # 570903709
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Integrated Analytical Approaches for Pesticide Management provides proven laboratory practices/examples and methods necessary to control pesticides in food and water in various environments. The book presents insights into good laboratory practices and examples of methods used in individual specialist laboratories, thus enabling stakeholders in the agri-food industry to appreciate the importance of proven, reliable data and the associated quality assurance approaches for end product testing for toxic levels of contaminant residues in food. The book is written in a rigorous, but simple, way to make sure that a broad range of readers can appreciate its technical content.

The book's practical nature and generic guidelines distinguish it from others in the marketplace.

  • Provides coverage of risk assessment and effective testing technologies
  • Covers generic guidelines on pesticide analysis on different environmental matrices for use in the developed and developing world
  • Presents the most up-to-date information in research sample testing preparation and method validation to detect pesticide residues in food
  • Includes examples of each method for practical application
  • Demonstrates proven, reliable research data and the associated quality assurance approaches for end product testing for food, water and soil sediment
  • Describes the concept of integrated analytical approaches for pesticide management practices


Elsevier Science
Book Format
Original Languages
Number of Pages
Britt Maestroni; Andrew Cannavan
Publication Date
August, 2018
Assembled Product Dimensions (L x W x H)
9.25 x 7.50 x 0.71 Inches

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Electrode, Comp-447755174, DC-prod-dfw5, ENV-prod-a, PROF-PROD, VER-30.0.3, SHA-fe0221a6ef49da0ab2505dfeca6fe7a05293b900, CID-0d2a3595-be5-16e7bb38dd6ff1, Generated: Sun, 17 Nov 2019 23:29:55 GMT