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2023 ACS Fall Meeting - Smithers Presentations
Smithers Environmental Fate & Metabolism and Chemistry scientists chaired symposiums and presented at the ACS Fall Meeting. View the presentation list:
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2023 ACS Presentation - Utilizing the QuEChERS sample preparation approach for targeted analysis of pesticides in complex ecotoxicology matrices
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QuEChERS sample preparation and cleanup is a well-known and accepted residue method for extraction of pesticides from a wide variety of matrices, most notably crops and animal tissues. Since the release of SANTE/2020/12830 guidance in February 2021, validation of pesticide analytical methods for risk assessment are subject to a number of new challenges related to acceptable solvents as well as limit of detection (LOD) and limit of quantitation (LOQ) constraints. In an effort to mitigate the impact of the new guidance, QuEChERS has been evaluated in the validation of analytical methods of pesticides in support of risk assessment and post-approval monitoring methods. More specifically, its use was tested for sample clean-up and concentration in complex ecotoxicology matrices, including royal jelly diet and sucrose solution.
By utilizing QuEChERS sample preparation, analytical methods can be validated at increasingly low levels in these matrices, which historically required a large amount of dilution or traditional cleanup techniques (i.e. SPE or liquid-liquid extraction) in order to be analyzed via liquid chromatography with tandem mass spectrometry (LC-MS/MS). The QuEChERS method is compatible with solvents deemed acceptable under the SANTE/2020/12830 guidance document and also reduces or eliminates the need for complex cleanup, such as large volume liquid-liquid extractions.
Overall, while typically a residue technique, the QuEChERS sample preparation approach is also a valuable analytical tool for the extraction and validation of a variety of pesticides in risk assessment and post-approval monitoring methods in complex ecotoxicology matrices.
Andrea McGuinness, Senior Chemist, presented this research during the ACS Fall Meeting in San Francisco:
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