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Can I read Evaluation of Automated Clean-up for Large Scope Pesticide Multiresidue Analysis by Liquid Chromatography Coupled to Mass Spectrometry on EtoBox?
Evaluation of Automated Clean-up for Large Scope Pesticide Multiresidue Analysis by Liquid Chromatography Coupled to Mass Spectrometry by Lorena Manzano Sánchez; Florencia Jesús; Carmen Ferrer; M. Mar Gómez-Ramos; Amadeo Fernández-Alba is a Chemistry article available to read on EtoBox.
What is Evaluation of Automated Clean-up for Large Scope Pesticide Multiresidue Analysis by Liquid Chromatography Coupled to Mass Spectrometry about?
Clean-up step is essential during the multiresidue sample preparation process to remove undesired matrix components that may cause analytical interferences or suppression effect. However, its application generally by specific sorbents entails time-consuming work producing low recoveries for some compounds. Moreover, it usually needs to be adapted to the different co-extractives from the matrix present in the samples by using different chemical sorbents increasing the number of validation procedures. Therefore, the development of a more efficient and automated and unified clean-up procedure means a significant time reduction and laboratory work with improved performance. In this study, extracts from different matrices (tomato, orange, rice, avocado and black tea) were purified by manual dispersive clean-up (different procedures according to the matrix group) in parallel with an automated μSPE clean-up workflow, in both cases based on QuEChERS extraction. The latter procedure employed clean-up cartridges containing a mixture of sorbent materials (anhydrous MgSO4/PSA/C18/CarbonX) suitable for multiple matrices. All the samples were analysed by liquid chromatography mass spectrometry a
Who reads Evaluation of Automated Clean-up for Large Scope Pesticide Multiresidue Analysis by Liquid Chromatography Coupled to Mass Spectrometry?
It is typically read by researchers, students, and practitioners in Chemistry.
- Author
- Lorena Manzano Sánchez; Florencia Jesús; Carmen Ferrer; M. Mar Gómez-Ramos; Amadeo Fernández-Alba
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Chemistry (Physical Sciences)