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Endocrine Disrupting Compounds in Surface Water and Their Degradation by Advanced Oxidation Process with Ozone

  • Ramiro Vallejo RodríguezEmail author
  • Alberto López López
Chapter
Part of the Hexagon Series on Human and Environmental Security and Peace book series (HSHES, volume 7)

Abstract

This chapter presents the state-of-the-art techniques for identification and analysis of endocrine disrupting compounds (EDCs) and their degradation by advanced oxidation processes (AOPs). The document arises from a research project oriented towards developing a pilot-level technology for advanced oxidation using ozone for the degradation of EDCs present in surface water. Today EDCs are an environmental and public health problem. Their concentrations in water are very low (¼g/l-ng/l), which complicates their identification and quantification. This analytical problem has given rise to the development of analytical methods that utilize such tools as gas chromatography (GC) and liquid chromatography(LC), coupled with mass spectrometry (MS). The most commonly used are GC/MS, GC/MS/MS in sequence, or LC-MS/MS. The use of the solid-phase extraction technique reduces the amount of time and the use of resources compared with conventional methods. The advanced oxidation processes that use ozone (AOP-O3) are the most studied because of their high efficiency, greater than 80 per cent, in relatively short time periods - of the order of minutes. AOP-O3 are capable of achieving partial or total (mineralization) oxidation of organic material. AOP-O3 promise to be one of the most appropriate technological resources not only for treating surface water containing EDCs, including hormones and pharmaceuticals, but also for industrial effluents in general, contaminated with compounds of low biodegradability.

Keywords

United States Environmental Protection Agency Endocrine Disruptor Advance Oxidation Process Clofibric Acid Ozone Dose 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Vertrag Berlin Heidelberg 2012

Authors and Affiliations

  • Ramiro Vallejo Rodríguez
    • 1
    Email author
  • Alberto López López
    • 2
  1. 1.FIQ-BUAPPueblaMexico
  2. 2.CIATEJGuadalajaraMéxico

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