• Title of article

    Rapid detection Methods of Pesticides Residues in Vegetable Foods

  • Author/Authors

    Fazeli-Nasab ، Bahman Research Department of Agronomy and Plant Breeding - Agricultural Research Institute - University of Zabol , Shahraki-Mojahed ، Laleh Department of Biochemistry - School of medicine - Zabol University of Medical Sciences , Beigomi ، Zahra Department of Physical Education - Zahedan University of Medical Sciences , Beigomi ، Maryam Department of Food Science and Technology - Zahedan University of Medical Sciences , Pahlavan ، Anahita Department of Horticultural - Faculty of Agriculture - University of Zabol

  • From page
    24
  • To page
    40
  • Abstract
    In recent years, environmental concerns and food safety in developing countries are the most important issues. Pesticides are vastly utilized in farming to improve crop production and quality and to reduce energy costs. These pesticides are biodegradable chemical compounds that are generally applied in farming to control pests and promote agricultural production. However, their excessive use, even in low concentrations, may cause serious health problems and environmental pollution. Therefore, a great deal of the research has focused on methods used for determining the presence of pesticides in various food matrices, according to this proposing sensitive diagnostic methods is essential for reliable quantification of pesticides availability. Meanwhile, rapid detection technologies which are among the most important tools in the analysis of food products are required to be assessed for analysis of residual persistence of pesticides in food and agricultural products to effectively control their quality and safety. In this article, it is attempted to provide a complete review of some detection methods including HPLC, HPTLC, GC/ MS/ MS, CE-DAD, LPME, SPME, LLE, DLLME, AChE, SERS, LC/ Tandem/ MS/ MS, MSPD, luminescence chemistry, safety assessment, and Meisel chromatography electrosynthesis used to identify pesticide residues in different food samples.
  • Keywords
    HPTLC , AChE , DLLME , SERS , LPME , GC , MS
  • Journal title
    Chemical Methodologies
  • Journal title
    Chemical Methodologies
  • Record number

    2684122